diff --git a/develop/_sources/api.rst b/develop/_sources/api.rst
index 23a8d1b95..e6af22307 100644
--- a/develop/_sources/api.rst
+++ b/develop/_sources/api.rst
@@ -65,14 +65,23 @@ Developer API
    sleap.nn.training
    sleap.nn.utils
    sleap.nn.viz
-   sleap.nn.tracker.components
-   sleap.nn.tracker.kalman
    sleap.nn.config.data
    sleap.nn.config.model
    sleap.nn.config.optimization
    sleap.nn.config.outputs
    sleap.nn.config.training_job
    sleap.nn.config.utils
+   sleap.nn.architectures.common
+   sleap.nn.architectures.encoder_decoder
+   sleap.nn.architectures.hourglass
+   sleap.nn.architectures.hrnet
+   sleap.nn.architectures.leap
+   sleap.nn.architectures.pretrained_encoders
+   sleap.nn.architectures.resnet
+   sleap.nn.architectures.unet
+   sleap.nn.architectures.upsampling
+   sleap.nn.tracker.components
+   sleap.nn.tracker.kalman
    sleap.nn.data.augmentation
    sleap.nn.data.confidence_maps
    sleap.nn.data.dataset_ops
@@ -90,12 +99,3 @@ Developer API
    sleap.nn.data.resizing
    sleap.nn.data.training
    sleap.nn.data.utils
-   sleap.nn.architectures.common
-   sleap.nn.architectures.encoder_decoder
-   sleap.nn.architectures.hourglass
-   sleap.nn.architectures.hrnet
-   sleap.nn.architectures.leap
-   sleap.nn.architectures.pretrained_encoders
-   sleap.nn.architectures.resnet
-   sleap.nn.architectures.unet
-   sleap.nn.architectures.upsampling
diff --git a/develop/_sources/guides/cli.md b/develop/_sources/guides/cli.md
index ab62f3130..03b806903 100644
--- a/develop/_sources/guides/cli.md
+++ b/develop/_sources/guides/cli.md
@@ -138,7 +138,10 @@ usage: sleap-track [-h] [-m MODELS] [--frames FRAMES] [--only-labeled-frames] [-
                    [data_path]
 
 positional arguments:
-  data_path             Path to data to predict on. This can be a labels (.slp) file or any supported video format.
+  data_path             Path to data to predict on. This can be one of the following: A .slp file containing labeled data; A folder containing multiple
+                        video files in supported formats; An individual video file in a supported format; A CSV file with a column of video file paths. 
+                        If more than one column is provided in the CSV file, the first will be used for the input data paths and the next column will be
+                        used as the output paths; A text file with a path to a video file on each line
 
 optional arguments:
   -h, --help            show this help message and exit
@@ -153,7 +156,7 @@ optional arguments:
                         Only run inference on unlabeled suggested frames when running on labels dataset. This is useful for generating predictions for
                         initialization during labeling.
   -o OUTPUT, --output OUTPUT
-                        The output filename to use for the predicted data. If not provided, defaults to '[data_path].predictions.slp'.
+                        The output filename or directory path to use for the predicted data. If not provided, defaults to '[data_path].predictions.slp'.
   --no-empty-frames     Clear any empty frames that did not have any detected instances before saving to output.
   --verbosity {none,rich,json}
                         Verbosity of inference progress reporting. 'none' does not output anything during inference, 'rich' displays an updating
diff --git a/develop/api.html b/develop/api.html
index 7dda5879e..daa6d0906 100644
--- a/develop/api.html
+++ b/develop/api.html
@@ -483,12 +483,6 @@ <h1>Developer API</h1>
 <tr class="row-even"><td><p><a class="reference internal" href="api/sleap.nn.viz.html#module-sleap.nn.viz" title="sleap.nn.viz"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.viz</span></code></a></p></td>
 <td><p>Visualization and plotting utilities.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="api/sleap.nn.tracker.components.html#module-sleap.nn.tracker.components" title="sleap.nn.tracker.components"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.tracker.components</span></code></a></p></td>
-<td><p>Functions/classes used by multiple trackers.</p></td>
-</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="api/sleap.nn.tracker.kalman.html#module-sleap.nn.tracker.kalman" title="sleap.nn.tracker.kalman"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.tracker.kalman</span></code></a></p></td>
-<td><p>Module to use Kalman filters for tracking instance identities.</p></td>
-</tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="api/sleap.nn.config.data.html#module-sleap.nn.config.data" title="sleap.nn.config.data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.config.data</span></code></a></p></td>
 <td><p></p></td>
 </tr>
@@ -507,84 +501,90 @@ <h1>Developer API</h1>
 <tr class="row-even"><td><p><a class="reference internal" href="api/sleap.nn.config.utils.html#module-sleap.nn.config.utils" title="sleap.nn.config.utils"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.config.utils</span></code></a></p></td>
 <td><p>Utilities for config building and validation.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="api/sleap.nn.data.augmentation.html#module-sleap.nn.data.augmentation" title="sleap.nn.data.augmentation"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.data.augmentation</span></code></a></p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="api/sleap.nn.architectures.common.html#module-sleap.nn.architectures.common" title="sleap.nn.architectures.common"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.architectures.common</span></code></a></p></td>
+<td><p>Common utilities for architecture and model building.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="api/sleap.nn.architectures.encoder_decoder.html#module-sleap.nn.architectures.encoder_decoder" title="sleap.nn.architectures.encoder_decoder"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.architectures.encoder_decoder</span></code></a></p></td>
+<td><p>Generic encoder-decoder fully convolutional backbones.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="api/sleap.nn.architectures.hourglass.html#module-sleap.nn.architectures.hourglass" title="sleap.nn.architectures.hourglass"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.architectures.hourglass</span></code></a></p></td>
+<td><p>This module provides a generalized implementation of (stacked) hourglass.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="api/sleap.nn.architectures.hrnet.html#module-sleap.nn.architectures.hrnet" title="sleap.nn.architectures.hrnet"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.architectures.hrnet</span></code></a></p></td>
+<td><p>(Higher)HRNet backbone.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="api/sleap.nn.architectures.leap.html#module-sleap.nn.architectures.leap" title="sleap.nn.architectures.leap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.architectures.leap</span></code></a></p></td>
+<td><p>This module provides a generalized implementation of the LEAP CNN.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="api/sleap.nn.architectures.pretrained_encoders.html#module-sleap.nn.architectures.pretrained_encoders" title="sleap.nn.architectures.pretrained_encoders"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.architectures.pretrained_encoders</span></code></a></p></td>
+<td><p>Encoder-decoder backbones with pretrained encoder models.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="api/sleap.nn.architectures.resnet.html#module-sleap.nn.architectures.resnet" title="sleap.nn.architectures.resnet"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.architectures.resnet</span></code></a></p></td>
+<td><p>ResNet-based backbones.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="api/sleap.nn.architectures.unet.html#module-sleap.nn.architectures.unet" title="sleap.nn.architectures.unet"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.architectures.unet</span></code></a></p></td>
+<td><p>This module provides a generalized implementation of UNet.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="api/sleap.nn.architectures.upsampling.html#module-sleap.nn.architectures.upsampling" title="sleap.nn.architectures.upsampling"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.architectures.upsampling</span></code></a></p></td>
+<td><p>This module defines common upsampling layer stack configurations.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="api/sleap.nn.tracker.components.html#module-sleap.nn.tracker.components" title="sleap.nn.tracker.components"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.tracker.components</span></code></a></p></td>
+<td><p>Functions/classes used by multiple trackers.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="api/sleap.nn.tracker.kalman.html#module-sleap.nn.tracker.kalman" title="sleap.nn.tracker.kalman"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.tracker.kalman</span></code></a></p></td>
+<td><p>Module to use Kalman filters for tracking instance identities.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="api/sleap.nn.data.augmentation.html#module-sleap.nn.data.augmentation" title="sleap.nn.data.augmentation"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.data.augmentation</span></code></a></p></td>
 <td><p>Transformers for applying data augmentation.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="api/sleap.nn.data.confidence_maps.html#module-sleap.nn.data.confidence_maps" title="sleap.nn.data.confidence_maps"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.data.confidence_maps</span></code></a></p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="api/sleap.nn.data.confidence_maps.html#module-sleap.nn.data.confidence_maps" title="sleap.nn.data.confidence_maps"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.data.confidence_maps</span></code></a></p></td>
 <td><p>Transformers for confidence map generation.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="api/sleap.nn.data.dataset_ops.html#module-sleap.nn.data.dataset_ops" title="sleap.nn.data.dataset_ops"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.data.dataset_ops</span></code></a></p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="api/sleap.nn.data.dataset_ops.html#module-sleap.nn.data.dataset_ops" title="sleap.nn.data.dataset_ops"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.data.dataset_ops</span></code></a></p></td>
 <td><p>Transformers for dataset (multi-example) operations, e.g., shuffling and batching.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="api/sleap.nn.data.edge_maps.html#module-sleap.nn.data.edge_maps" title="sleap.nn.data.edge_maps"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.data.edge_maps</span></code></a></p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="api/sleap.nn.data.edge_maps.html#module-sleap.nn.data.edge_maps" title="sleap.nn.data.edge_maps"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.data.edge_maps</span></code></a></p></td>
 <td><p>Transformers for generating edge confidence maps and part affinity fields.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="api/sleap.nn.data.general.html#module-sleap.nn.data.general" title="sleap.nn.data.general"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.data.general</span></code></a></p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="api/sleap.nn.data.general.html#module-sleap.nn.data.general" title="sleap.nn.data.general"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.data.general</span></code></a></p></td>
 <td><p>General purpose transformers for common pipeline processing tasks.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="api/sleap.nn.data.grouping.html#module-sleap.nn.data.grouping" title="sleap.nn.data.grouping"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.data.grouping</span></code></a></p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="api/sleap.nn.data.grouping.html#module-sleap.nn.data.grouping" title="sleap.nn.data.grouping"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.data.grouping</span></code></a></p></td>
 <td><p>Group inference results (&quot;examples&quot;) by frame.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="api/sleap.nn.data.identity.html#module-sleap.nn.data.identity" title="sleap.nn.data.identity"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.data.identity</span></code></a></p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="api/sleap.nn.data.identity.html#module-sleap.nn.data.identity" title="sleap.nn.data.identity"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.data.identity</span></code></a></p></td>
 <td><p>Utilities for generating data for track identity models.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="api/sleap.nn.data.inference.html#module-sleap.nn.data.inference" title="sleap.nn.data.inference"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.data.inference</span></code></a></p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="api/sleap.nn.data.inference.html#module-sleap.nn.data.inference" title="sleap.nn.data.inference"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.data.inference</span></code></a></p></td>
 <td><p>Transformers for performing inference.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="api/sleap.nn.data.instance_centroids.html#module-sleap.nn.data.instance_centroids" title="sleap.nn.data.instance_centroids"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.data.instance_centroids</span></code></a></p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="api/sleap.nn.data.instance_centroids.html#module-sleap.nn.data.instance_centroids" title="sleap.nn.data.instance_centroids"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.data.instance_centroids</span></code></a></p></td>
 <td><p>Transformers for finding instance centroids.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="api/sleap.nn.data.instance_cropping.html#module-sleap.nn.data.instance_cropping" title="sleap.nn.data.instance_cropping"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.data.instance_cropping</span></code></a></p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="api/sleap.nn.data.instance_cropping.html#module-sleap.nn.data.instance_cropping" title="sleap.nn.data.instance_cropping"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.data.instance_cropping</span></code></a></p></td>
 <td><p>Transformers for cropping instances for topdown processing.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="api/sleap.nn.data.normalization.html#module-sleap.nn.data.normalization" title="sleap.nn.data.normalization"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.data.normalization</span></code></a></p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="api/sleap.nn.data.normalization.html#module-sleap.nn.data.normalization" title="sleap.nn.data.normalization"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.data.normalization</span></code></a></p></td>
 <td><p>Transformers for normalizing data formats.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="api/sleap.nn.data.offset_regression.html#module-sleap.nn.data.offset_regression" title="sleap.nn.data.offset_regression"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.data.offset_regression</span></code></a></p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="api/sleap.nn.data.offset_regression.html#module-sleap.nn.data.offset_regression" title="sleap.nn.data.offset_regression"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.data.offset_regression</span></code></a></p></td>
 <td><p>Utilities for creating offset regression maps.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="api/sleap.nn.data.pipelines.html#module-sleap.nn.data.pipelines" title="sleap.nn.data.pipelines"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.data.pipelines</span></code></a></p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="api/sleap.nn.data.pipelines.html#module-sleap.nn.data.pipelines" title="sleap.nn.data.pipelines"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.data.pipelines</span></code></a></p></td>
 <td><p>This module defines high level pipeline configurations from providers/transformers.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="api/sleap.nn.data.providers.html#module-sleap.nn.data.providers" title="sleap.nn.data.providers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.data.providers</span></code></a></p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="api/sleap.nn.data.providers.html#module-sleap.nn.data.providers" title="sleap.nn.data.providers"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.data.providers</span></code></a></p></td>
 <td><p>Data providers for pipeline I/O.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="api/sleap.nn.data.resizing.html#module-sleap.nn.data.resizing" title="sleap.nn.data.resizing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.data.resizing</span></code></a></p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="api/sleap.nn.data.resizing.html#module-sleap.nn.data.resizing" title="sleap.nn.data.resizing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.data.resizing</span></code></a></p></td>
 <td><p>Transformers for image resizing and padding.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="api/sleap.nn.data.training.html#module-sleap.nn.data.training" title="sleap.nn.data.training"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.data.training</span></code></a></p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="api/sleap.nn.data.training.html#module-sleap.nn.data.training" title="sleap.nn.data.training"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.data.training</span></code></a></p></td>
 <td><p>Transformers and utilities for training-related operations.</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="api/sleap.nn.data.utils.html#module-sleap.nn.data.utils" title="sleap.nn.data.utils"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.data.utils</span></code></a></p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="api/sleap.nn.data.utils.html#module-sleap.nn.data.utils" title="sleap.nn.data.utils"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.data.utils</span></code></a></p></td>
 <td><p>Miscellaneous utility functions for data processing.</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="api/sleap.nn.architectures.common.html#module-sleap.nn.architectures.common" title="sleap.nn.architectures.common"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.architectures.common</span></code></a></p></td>
-<td><p>Common utilities for architecture and model building.</p></td>
-</tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="api/sleap.nn.architectures.encoder_decoder.html#module-sleap.nn.architectures.encoder_decoder" title="sleap.nn.architectures.encoder_decoder"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.architectures.encoder_decoder</span></code></a></p></td>
-<td><p>Generic encoder-decoder fully convolutional backbones.</p></td>
-</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="api/sleap.nn.architectures.hourglass.html#module-sleap.nn.architectures.hourglass" title="sleap.nn.architectures.hourglass"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.architectures.hourglass</span></code></a></p></td>
-<td><p>This module provides a generalized implementation of (stacked) hourglass.</p></td>
-</tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="api/sleap.nn.architectures.hrnet.html#module-sleap.nn.architectures.hrnet" title="sleap.nn.architectures.hrnet"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.architectures.hrnet</span></code></a></p></td>
-<td><p>(Higher)HRNet backbone.</p></td>
-</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="api/sleap.nn.architectures.leap.html#module-sleap.nn.architectures.leap" title="sleap.nn.architectures.leap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.architectures.leap</span></code></a></p></td>
-<td><p>This module provides a generalized implementation of the LEAP CNN.</p></td>
-</tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="api/sleap.nn.architectures.pretrained_encoders.html#module-sleap.nn.architectures.pretrained_encoders" title="sleap.nn.architectures.pretrained_encoders"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.architectures.pretrained_encoders</span></code></a></p></td>
-<td><p>Encoder-decoder backbones with pretrained encoder models.</p></td>
-</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="api/sleap.nn.architectures.resnet.html#module-sleap.nn.architectures.resnet" title="sleap.nn.architectures.resnet"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.architectures.resnet</span></code></a></p></td>
-<td><p>ResNet-based backbones.</p></td>
-</tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="api/sleap.nn.architectures.unet.html#module-sleap.nn.architectures.unet" title="sleap.nn.architectures.unet"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.architectures.unet</span></code></a></p></td>
-<td><p>This module provides a generalized implementation of UNet.</p></td>
-</tr>
-<tr class="row-even"><td><p><a class="reference internal" href="api/sleap.nn.architectures.upsampling.html#module-sleap.nn.architectures.upsampling" title="sleap.nn.architectures.upsampling"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap.nn.architectures.upsampling</span></code></a></p></td>
-<td><p>This module defines common upsampling layer stack configurations.</p></td>
-</tr>
 </tbody>
 </table>
 </section>
diff --git a/develop/api/sleap.nn.inference.html b/develop/api/sleap.nn.inference.html
index c01d889b3..0b748dd15 100644
--- a/develop/api/sleap.nn.inference.html
+++ b/develop/api/sleap.nn.inference.html
@@ -338,7 +338,7 @@ <h1>sleap.nn.inference</h1>
 function which provides a simplified interface for creating <a href="#id3"><span class="problematic" id="id4">`</span></a>Predictor`s.</p>
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.inference.BottomUpInferenceLayer">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">BottomUpInferenceLayer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L2693-L2959"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.BottomUpInferenceLayer" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">BottomUpInferenceLayer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L2694-L2960"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.BottomUpInferenceLayer" title="Permalink to this definition">#</a></dt>
 <dd><p>Keras layer that predicts instances from images using a trained model.</p>
 <p>This layer encapsulates all of the inference operations required for generating
 predictions from a centered instance confidence map model. This includes
@@ -461,7 +461,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.BottomUpInferenceLayer.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L2894-L2959"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.BottomUpInferenceLayer.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L2895-L2960"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.BottomUpInferenceLayer.call" title="Permalink to this definition">#</a></dt>
 <dd><p>Predict instances for one batch of images.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -495,13 +495,13 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.BottomUpInferenceLayer.find_peaks">
-<span class="sig-name descname"><span class="pre">find_peaks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">offsets</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L2848-L2892"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.BottomUpInferenceLayer.find_peaks" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">find_peaks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">offsets</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L2849-L2893"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.BottomUpInferenceLayer.find_peaks" title="Permalink to this definition">#</a></dt>
 <dd><p>Run peak finding on predicted confidence maps.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.BottomUpInferenceLayer.forward_pass">
-<span class="sig-name descname"><span class="pre">forward_pass</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L2820-L2846"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.BottomUpInferenceLayer.forward_pass" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">forward_pass</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L2821-L2847"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.BottomUpInferenceLayer.forward_pass" title="Permalink to this definition">#</a></dt>
 <dd><p>Run preprocessing and model inference on a batch.</p>
 </dd></dl>
 
@@ -509,7 +509,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.inference.BottomUpInferenceModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">BottomUpInferenceModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L2962-L3008"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.BottomUpInferenceModel" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">BottomUpInferenceModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L2963-L3009"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.BottomUpInferenceModel" title="Permalink to this definition">#</a></dt>
 <dd><p>Bottom-up instance prediction model.</p>
 <p>This model encapsulates the bottom-up approach where points are first detected by
 local peak detection and then grouped into instances by connectivity scoring using
@@ -523,7 +523,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.BottomUpInferenceModel.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">example</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L2982-L3008"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.BottomUpInferenceModel.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">example</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L2983-L3009"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.BottomUpInferenceModel.call" title="Permalink to this definition">#</a></dt>
 <dd><p>Predict instances for one batch of images.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -556,7 +556,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.inference.BottomUpMultiClassInferenceLayer">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">BottomUpMultiClassInferenceLayer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L3306-L3544"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.BottomUpMultiClassInferenceLayer" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">BottomUpMultiClassInferenceLayer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L3307-L3545"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.BottomUpMultiClassInferenceLayer" title="Permalink to this definition">#</a></dt>
 <dd><p>Keras layer that predicts instances from images using a trained model.</p>
 <p>This layer encapsulates all of the inference operations required for generating
 predictions from a centered instance confidence map model. This includes
@@ -662,7 +662,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.BottomUpMultiClassInferenceLayer.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L3480-L3544"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.BottomUpMultiClassInferenceLayer.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L3481-L3545"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.BottomUpMultiClassInferenceLayer.call" title="Permalink to this definition">#</a></dt>
 <dd><p>Predict instances for one batch of images.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -693,13 +693,13 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.BottomUpMultiClassInferenceLayer.find_peaks">
-<span class="sig-name descname"><span class="pre">find_peaks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">offsets</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L3448-L3478"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.BottomUpMultiClassInferenceLayer.find_peaks" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">find_peaks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">offsets</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L3449-L3479"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.BottomUpMultiClassInferenceLayer.find_peaks" title="Permalink to this definition">#</a></dt>
 <dd><p>Run peak finding on predicted confidence maps.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.BottomUpMultiClassInferenceLayer.forward_pass">
-<span class="sig-name descname"><span class="pre">forward_pass</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L3422-L3446"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.BottomUpMultiClassInferenceLayer.forward_pass" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">forward_pass</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L3423-L3447"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.BottomUpMultiClassInferenceLayer.forward_pass" title="Permalink to this definition">#</a></dt>
 <dd><p>Run preprocessing and model inference on a batch.</p>
 </dd></dl>
 
@@ -707,7 +707,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.inference.BottomUpMultiClassInferenceModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">BottomUpMultiClassInferenceModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L3547-L3589"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.BottomUpMultiClassInferenceModel" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">BottomUpMultiClassInferenceModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L3548-L3590"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.BottomUpMultiClassInferenceModel" title="Permalink to this definition">#</a></dt>
 <dd><p>Bottom-up multi-class instance prediction model.</p>
 <p>This model encapsulates the bottom-up multi-class approach where points are first
 detected by local peak finding and then grouped into instances by their identity
@@ -721,7 +721,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.BottomUpMultiClassInferenceModel.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">example</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L3563-L3589"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.BottomUpMultiClassInferenceModel.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">example</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L3564-L3590"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.BottomUpMultiClassInferenceModel.call" title="Permalink to this definition">#</a></dt>
 <dd><p>Predict instances for one batch of images.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -754,7 +754,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.inference.BottomUpMultiClassPredictor">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">BottomUpMultiClassPredictor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="sleap.nn.config.training_job.html#sleap.nn.config.training_job.TrainingJobConfig" title="sleap.nn.config.training_job.TrainingJobConfig"><span class="pre">sleap.nn.config.training_job.TrainingJobConfig</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="sleap.nn.model.html#sleap.nn.model.Model" title="sleap.nn.model.Model"><span class="pre">sleap.nn.model.Model</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">inference_model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#sleap.nn.inference.BottomUpMultiClassInferenceModel" title="sleap.nn.inference.BottomUpMultiClassInferenceModel"><span class="pre">sleap.nn.inference.BottomUpMultiClassInferenceModel</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">peak_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_refinement</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_patch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tracks</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sleap.instance.html#sleap.instance.Track" title="sleap.instance.Track"><span class="pre">sleap.instance.Track</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbosity</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'rich'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">report_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_paths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">NOTHING</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L3593-L3814"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.BottomUpMultiClassPredictor" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">BottomUpMultiClassPredictor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="sleap.nn.config.training_job.html#sleap.nn.config.training_job.TrainingJobConfig" title="sleap.nn.config.training_job.TrainingJobConfig"><span class="pre">sleap.nn.config.training_job.TrainingJobConfig</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="sleap.nn.model.html#sleap.nn.model.Model" title="sleap.nn.model.Model"><span class="pre">sleap.nn.model.Model</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">inference_model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#sleap.nn.inference.BottomUpMultiClassInferenceModel" title="sleap.nn.inference.BottomUpMultiClassInferenceModel"><span class="pre">sleap.nn.inference.BottomUpMultiClassInferenceModel</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">peak_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_refinement</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_patch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tracks</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sleap.instance.html#sleap.instance.Track" title="sleap.instance.Track"><span class="pre">sleap.instance.Track</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbosity</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'rich'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">report_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_paths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">NOTHING</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L3594-L3815"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.BottomUpMultiClassPredictor" title="Permalink to this definition">#</a></dt>
 <dd><p>Bottom-up multi-instance predictor.</p>
 <p>This high-level class handles initialization, preprocessing and tracking using a
 trained bottom-up multi-instance SLEAP model.</p>
@@ -873,7 +873,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.BottomUpMultiClassPredictor.from_trained_models">
-<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_trained_models</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">peak_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_refinement</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_patch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">resize_input_layer</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#sleap.nn.inference.BottomUpMultiClassPredictor" title="sleap.nn.inference.BottomUpMultiClassPredictor"><span class="pre">sleap.nn.inference.BottomUpMultiClassPredictor</span></a></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L3651-L3702"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.BottomUpMultiClassPredictor.from_trained_models" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_trained_models</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">peak_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_refinement</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_patch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">resize_input_layer</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#sleap.nn.inference.BottomUpMultiClassPredictor" title="sleap.nn.inference.BottomUpMultiClassPredictor"><span class="pre">sleap.nn.inference.BottomUpMultiClassPredictor</span></a></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L3652-L3703"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.BottomUpMultiClassPredictor.from_trained_models" title="Permalink to this definition">#</a></dt>
 <dd><p>Create predictor from a saved model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -912,7 +912,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.inference.BottomUpPredictor">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">BottomUpPredictor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bottomup_config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="sleap.nn.config.training_job.html#sleap.nn.config.training_job.TrainingJobConfig" title="sleap.nn.config.training_job.TrainingJobConfig"><span class="pre">sleap.nn.config.training_job.TrainingJobConfig</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">bottomup_model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="sleap.nn.model.html#sleap.nn.model.Model" title="sleap.nn.model.Model"><span class="pre">sleap.nn.model.Model</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">inference_model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#sleap.nn.inference.BottomUpInferenceModel" title="sleap.nn.inference.BottomUpInferenceModel"><span class="pre">sleap.nn.inference.BottomUpInferenceModel</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">peak_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_refinement</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_patch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_edge_length_ratio</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.25</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dist_penalty_weight</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">paf_line_points</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_line_scores</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.25</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbosity</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'rich'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">report_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_paths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">NOTHING</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L3012-L3303"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.BottomUpPredictor" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">BottomUpPredictor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bottomup_config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="sleap.nn.config.training_job.html#sleap.nn.config.training_job.TrainingJobConfig" title="sleap.nn.config.training_job.TrainingJobConfig"><span class="pre">sleap.nn.config.training_job.TrainingJobConfig</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">bottomup_model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="sleap.nn.model.html#sleap.nn.model.Model" title="sleap.nn.model.Model"><span class="pre">sleap.nn.model.Model</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">inference_model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#sleap.nn.inference.BottomUpInferenceModel" title="sleap.nn.inference.BottomUpInferenceModel"><span class="pre">sleap.nn.inference.BottomUpInferenceModel</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">peak_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_refinement</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_patch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_edge_length_ratio</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.25</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dist_penalty_weight</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">paf_line_points</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_line_scores</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.25</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbosity</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'rich'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">report_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_paths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">NOTHING</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L3013-L3304"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.BottomUpPredictor" title="Permalink to this definition">#</a></dt>
 <dd><p>Bottom-up multi-instance predictor.</p>
 <p>This high-level class handles initialization, preprocessing and tracking using a
 trained bottom-up multi-instance SLEAP model.</p>
@@ -1096,7 +1096,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.BottomUpPredictor.from_trained_models">
-<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_trained_models</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">peak_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_refinement</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_patch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_edge_length_ratio</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.25</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dist_penalty_weight</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">paf_line_points</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_line_scores</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.25</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">resize_input_layer</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#sleap.nn.inference.BottomUpPredictor" title="sleap.nn.inference.BottomUpPredictor"><span class="pre">sleap.nn.inference.BottomUpPredictor</span></a></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L3107-L3184"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.BottomUpPredictor.from_trained_models" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_trained_models</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">peak_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_refinement</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_patch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_edge_length_ratio</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.25</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dist_penalty_weight</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">paf_line_points</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_line_scores</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.25</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">resize_input_layer</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#sleap.nn.inference.BottomUpPredictor" title="sleap.nn.inference.BottomUpPredictor"><span class="pre">sleap.nn.inference.BottomUpPredictor</span></a></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L3108-L3185"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.BottomUpPredictor.from_trained_models" title="Permalink to this definition">#</a></dt>
 <dd><p>Create predictor from a saved model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -1149,7 +1149,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.inference.CentroidCrop">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">CentroidCrop</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L1624-L1940"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.CentroidCrop" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">CentroidCrop</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L1625-L1941"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.CentroidCrop" title="Permalink to this definition">#</a></dt>
 <dd><p>Inference layer for applying centroid crop-based models.</p>
 <p>This layer encapsulates all of the inference operations requires for generating
 predictions from a centroid confidence map model. This includes preprocessing,
@@ -1296,7 +1296,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.inference.CentroidCropGroundTruth">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">CentroidCropGroundTruth</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L722-L798"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.CentroidCropGroundTruth" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">CentroidCropGroundTruth</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L723-L799"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.CentroidCropGroundTruth" title="Permalink to this definition">#</a></dt>
 <dd><p>Keras layer that simulates a centroid cropping model using ground truth.</p>
 <p>This layer is useful for testing and evaluating centered instance models.</p>
 <dl class="py attribute">
@@ -1307,7 +1307,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.CentroidCropGroundTruth.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">example_gt</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L735-L798"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.CentroidCropGroundTruth.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">example_gt</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L736-L799"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.CentroidCropGroundTruth.call" title="Permalink to this definition">#</a></dt>
 <dd><p>Return the ground truth instance crops.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -1343,7 +1343,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.inference.CentroidInferenceModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">CentroidInferenceModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L2168-L2208"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.CentroidInferenceModel" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">CentroidInferenceModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L2169-L2209"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.CentroidInferenceModel" title="Permalink to this definition">#</a></dt>
 <dd><p>Centroid only instance prediction model.</p>
 <p>This model encapsulates the first step in a top-down approach where instances are detected by
 local peak detection of an anchor point and then cropped.</p>
@@ -1357,7 +1357,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.CentroidInferenceModel.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">example</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L2184-L2208"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.CentroidInferenceModel.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">example</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L2185-L2209"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.CentroidInferenceModel.call" title="Permalink to this definition">#</a></dt>
 <dd><p>Predict instances for one batch of images.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -1385,7 +1385,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.inference.FindInstancePeaks">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">FindInstancePeaks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L1943-L2165"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.FindInstancePeaks" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">FindInstancePeaks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L1944-L2166"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.FindInstancePeaks" title="Permalink to this definition">#</a></dt>
 <dd><p>Keras layer that predicts instance peaks from images using a trained model.</p>
 <p>This layer encapsulates all of the inference operations required for generating
 predictions from a centered instance confidence map model. This includes
@@ -1466,7 +1466,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.FindInstancePeaks.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L2026-L2165"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.FindInstancePeaks.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L2027-L2166"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.FindInstancePeaks.call" title="Permalink to this definition">#</a></dt>
 <dd><p>Predict confidence maps and infer peak coordinates.</p>
 <p>This layer can be chained with a <a class="reference internal" href="#sleap.nn.inference.CentroidCrop" title="sleap.nn.inference.CentroidCrop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CentroidCrop</span></code></a> layer to create a top-down
 inference function from full images.</p>
@@ -1519,12 +1519,12 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.inference.FindInstancePeaksGroundTruth">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">FindInstancePeaksGroundTruth</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L801-L883"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.FindInstancePeaksGroundTruth" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">FindInstancePeaksGroundTruth</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L802-L884"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.FindInstancePeaksGroundTruth" title="Permalink to this definition">#</a></dt>
 <dd><p>Keras layer that simulates a centered instance peaks model.</p>
 <p>This layer is useful for testing and evaluating centroid models.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.FindInstancePeaksGroundTruth.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">example_gt</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">crop_output</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L809-L883"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.FindInstancePeaksGroundTruth.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">example_gt</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">crop_output</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L810-L884"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.FindInstancePeaksGroundTruth.call" title="Permalink to this definition">#</a></dt>
 <dd><p>Return the ground truth instance peaks given a set of crops.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -1572,7 +1572,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.inference.InferenceLayer">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">InferenceLayer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L886-L966"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.InferenceLayer" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">InferenceLayer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L887-L967"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.InferenceLayer" title="Permalink to this definition">#</a></dt>
 <dd><p>Base layer for wrapping a Keras model into a layer with preprocessing.</p>
 <p>This layer is useful for wrapping input preprocessing operations that would
 otherwise be handled by a separate pipeline.</p>
@@ -1617,7 +1617,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.InferenceLayer.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tensorflow.python.framework.ops.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tensorflow.python.framework.ops.Tensor</span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L957-L966"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.InferenceLayer.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tensorflow.python.framework.ops.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tensorflow.python.framework.ops.Tensor</span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L958-L967"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.InferenceLayer.call" title="Permalink to this definition">#</a></dt>
 <dd><p>Call the model with preprocessed data.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -1631,7 +1631,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.InferenceLayer.preprocess">
-<span class="sig-name descname"><span class="pre">preprocess</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">imgs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tensorflow.python.framework.ops.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tensorflow.python.framework.ops.Tensor</span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L929-L955"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.InferenceLayer.preprocess" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">preprocess</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">imgs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tensorflow.python.framework.ops.Tensor</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">tensorflow.python.framework.ops.Tensor</span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L930-L956"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.InferenceLayer.preprocess" title="Permalink to this definition">#</a></dt>
 <dd><p>Apply all preprocessing operations configured for this layer.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -1649,14 +1649,14 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.inference.InferenceModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">InferenceModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L969-L1157"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.InferenceModel" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">InferenceModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L970-L1158"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.InferenceModel" title="Permalink to this definition">#</a></dt>
 <dd><p>SLEAP inference model base class.</p>
 <p>This class wraps the <code class="xref py py-obj docutils literal notranslate"><span class="pre">tf.keras.Model</span></code> class to provide SLEAP-specific inference
 utilities such as handling different input data types, preprocessing and variable
 output shapes.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.InferenceModel.export_model">
-<span class="sig-name descname"><span class="pre">export_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">signatures</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'serving_default'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_traces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tensors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unrag_outputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L1080-L1157"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.InferenceModel.export_model" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">export_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">signatures</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'serving_default'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_traces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tensors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unrag_outputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L1081-L1158"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.InferenceModel.export_model" title="Permalink to this definition">#</a></dt>
 <dd><p>Save the frozen graph of a model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -1685,7 +1685,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.InferenceModel.predict">
-<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.data.ops.dataset_ops.DatasetV2</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="sleap.nn.data.pipelines.html#sleap.nn.data.pipelines.Pipeline" title="sleap.nn.data.pipelines.Pipeline"><span class="pre">sleap.nn.data.pipelines.Pipeline</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="sleap.io.video.html#sleap.io.video.Video" title="sleap.io.video.Video"><span class="pre">sleap.io.video.Video</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">numpy</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.ops.ragged.ragged_tensor.RaggedTensor</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L977-L1033"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.InferenceModel.predict" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.data.ops.dataset_ops.DatasetV2</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="sleap.nn.data.pipelines.html#sleap.nn.data.pipelines.Pipeline" title="sleap.nn.data.pipelines.Pipeline"><span class="pre">sleap.nn.data.pipelines.Pipeline</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="sleap.io.video.html#sleap.io.video.Video" title="sleap.io.video.Video"><span class="pre">sleap.io.video.Video</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">numpy</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.ops.ragged.ragged_tensor.RaggedTensor</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L978-L1034"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.InferenceModel.predict" title="Permalink to this definition">#</a></dt>
 <dd><p>Predict instances in the data.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -1729,7 +1729,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.InferenceModel.predict_on_batch">
-<span class="sig-name descname"><span class="pre">predict_on_batch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">numpy</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.ops.ragged.ragged_tensor.RaggedTensor</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L1035-L1078"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.InferenceModel.predict_on_batch" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">predict_on_batch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">numpy</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.ops.ragged.ragged_tensor.RaggedTensor</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L1036-L1079"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.InferenceModel.predict_on_batch" title="Permalink to this definition">#</a></dt>
 <dd><p>Predict a single batch of samples.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -1766,7 +1766,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.inference.MoveNetInferenceLayer">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">MoveNetInferenceLayer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L4579-L4624"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.MoveNetInferenceLayer" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">MoveNetInferenceLayer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L4580-L4625"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.MoveNetInferenceLayer" title="Permalink to this definition">#</a></dt>
 <dd><p>Inference layer for applying single instance models.</p>
 <p>This layer encapsulates all of the inference operations requires for generating
 predictions from a single instance confidence map model. This includes
@@ -1816,7 +1816,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.MoveNetInferenceLayer.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ex</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L4614-L4624"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.MoveNetInferenceLayer.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ex</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L4615-L4625"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.MoveNetInferenceLayer.call" title="Permalink to this definition">#</a></dt>
 <dd><p>Call the model with preprocessed data.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -1832,7 +1832,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.inference.MoveNetInferenceModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">MoveNetInferenceModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L4627-L4651"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.MoveNetInferenceModel" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">MoveNetInferenceModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L4628-L4652"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.MoveNetInferenceModel" title="Permalink to this definition">#</a></dt>
 <dd><p>MoveNet prediction model.</p>
 <p>This model encapsulates the basic MoveNet approach. The images are passed to a model
 which is trained to detect all body parts (17 joints in total).</p>
@@ -1849,7 +1849,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.MoveNetInferenceModel.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L4650-L4651"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.MoveNetInferenceModel.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L4651-L4652"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.MoveNetInferenceModel.call" title="Permalink to this definition">#</a></dt>
 <dd><p>Calls the model on new inputs and returns the outputs as tensors.</p>
 <p>In this case <a class="reference internal" href="#sleap.nn.inference.MoveNetInferenceModel.call" title="sleap.nn.inference.MoveNetInferenceModel.call"><code class="xref py py-obj docutils literal notranslate"><span class="pre">call()</span></code></a> just reapplies
 all ops in the graph to the new inputs
@@ -1883,7 +1883,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.inference.MoveNetPredictor">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">MoveNetPredictor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inference_model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#sleap.nn.inference.MoveNetInferenceModel" title="sleap.nn.inference.MoveNetInferenceModel"><span class="pre">sleap.nn.inference.MoveNetInferenceModel</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">peak_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'lightning'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbosity</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'rich'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">report_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_paths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">NOTHING</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L4655-L4796"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.MoveNetPredictor" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">MoveNetPredictor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inference_model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#sleap.nn.inference.MoveNetInferenceModel" title="sleap.nn.inference.MoveNetInferenceModel"><span class="pre">sleap.nn.inference.MoveNetInferenceModel</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">peak_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'lightning'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbosity</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'rich'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">report_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_paths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">NOTHING</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L4656-L4797"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.MoveNetPredictor" title="Permalink to this definition">#</a></dt>
 <dd><p>MoveNet predictor.</p>
 <p>This high-level class handles initialization, preprocessing and tracking using a
 trained MoveNet model.
@@ -1950,7 +1950,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.MoveNetPredictor.from_trained_models">
-<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_trained_models</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">peak_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.2</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#sleap.nn.inference.MoveNetPredictor" title="sleap.nn.inference.MoveNetPredictor"><span class="pre">sleap.nn.inference.MoveNetPredictor</span></a></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L4707-L4729"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.MoveNetPredictor.from_trained_models" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_trained_models</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">peak_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.2</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#sleap.nn.inference.MoveNetPredictor" title="sleap.nn.inference.MoveNetPredictor"><span class="pre">sleap.nn.inference.MoveNetPredictor</span></a></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L4708-L4730"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.MoveNetPredictor.from_trained_models" title="Permalink to this definition">#</a></dt>
 <dd><p>Create the predictor from a saved model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -1977,11 +1977,11 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.inference.Predictor">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">Predictor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbosity</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'rich'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">report_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_paths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">NOTHING</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L158-L588"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.Predictor" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">Predictor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbosity</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'rich'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">report_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_paths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">NOTHING</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L159-L589"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.Predictor" title="Permalink to this definition">#</a></dt>
 <dd><p>Base interface class for predictors.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.Predictor.export_model">
-<span class="sig-name descname"><span class="pre">export_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">signatures</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'serving_default'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_traces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tensors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unrag_outputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L532-L588"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.Predictor.export_model" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">export_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">signatures</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'serving_default'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_traces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tensors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unrag_outputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L533-L589"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.Predictor.export_model" title="Permalink to this definition">#</a></dt>
 <dd><p>Export a trained SLEAP model as a frozen graph. Initializes model,
 creates a dummy tracing batch and passes it through the model. The
 frozen graph is saved along with training meta info.</p>
@@ -2010,7 +2010,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.Predictor.from_model_paths">
-<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_model_paths</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_paths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">peak_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_refinement</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_patch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">resize_input_layer</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#sleap.nn.inference.Predictor" title="sleap.nn.inference.Predictor"><span class="pre">sleap.nn.inference.Predictor</span></a></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L174-L310"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.Predictor.from_model_paths" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_model_paths</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_paths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">peak_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_refinement</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_patch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">resize_input_layer</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#sleap.nn.inference.Predictor" title="sleap.nn.inference.Predictor"><span class="pre">sleap.nn.inference.Predictor</span></a></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L175-L311"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.Predictor.from_model_paths" title="Permalink to this definition">#</a></dt>
 <dd><p>Create the appropriate <a class="reference internal" href="#sleap.nn.inference.Predictor" title="sleap.nn.inference.Predictor"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Predictor</span></code></a> subclass from a list of model paths.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -2054,7 +2054,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.Predictor.make_pipeline">
-<span class="sig-name descname"><span class="pre">make_pipeline</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_provider</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.data.pipelines.Provider</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sleap.nn.data.pipelines.html#sleap.nn.data.pipelines.Pipeline" title="sleap.nn.data.pipelines.Pipeline"><span class="pre">sleap.nn.data.pipelines.Pipeline</span></a></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L328-L370"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.Predictor.make_pipeline" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">make_pipeline</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_provider</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.data.pipelines.Provider</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sleap.nn.data.pipelines.html#sleap.nn.data.pipelines.Pipeline" title="sleap.nn.data.pipelines.Pipeline"><span class="pre">sleap.nn.data.pipelines.Pipeline</span></a></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L329-L371"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.Predictor.make_pipeline" title="Permalink to this definition">#</a></dt>
 <dd><p>Make a data loading pipeline.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -2074,7 +2074,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.Predictor.predict">
-<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.data.pipelines.Provider</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="sleap.io.dataset.html#sleap.io.dataset.Labels" title="sleap.io.dataset.Labels"><span class="pre">sleap.io.dataset.Labels</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="sleap.io.video.html#sleap.io.video.Video" title="sleap.io.video.Video"><span class="pre">sleap.io.video.Video</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">make_labels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="sleap.io.dataset.html#sleap.io.dataset.Labels" title="sleap.io.dataset.Labels"><span class="pre">sleap.io.dataset.Labels</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L495-L530"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.Predictor.predict" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.data.pipelines.Provider</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="sleap.io.dataset.html#sleap.io.dataset.Labels" title="sleap.io.dataset.Labels"><span class="pre">sleap.io.dataset.Labels</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="sleap.io.video.html#sleap.io.video.Video" title="sleap.io.video.Video"><span class="pre">sleap.io.video.Video</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">make_labels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="sleap.io.dataset.html#sleap.io.dataset.Labels" title="sleap.io.dataset.Labels"><span class="pre">sleap.io.dataset.Labels</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L496-L531"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.Predictor.predict" title="Permalink to this definition">#</a></dt>
 <dd><p>Run inference on a data source.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -2104,11 +2104,11 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.inference.RateColumn">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">RateColumn</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">table_column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">rich.table.Column</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L146-L154"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.RateColumn" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">RateColumn</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">table_column</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">rich.table.Column</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L147-L155"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.RateColumn" title="Permalink to this definition">#</a></dt>
 <dd><p>Renders the progress rate.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.RateColumn.render">
-<span class="sig-name descname"><span class="pre">render</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">task</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Task</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">rich.text.Text</span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L149-L154"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.RateColumn.render" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">render</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">task</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Task</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">rich.text.Text</span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L150-L155"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.RateColumn.render" title="Permalink to this definition">#</a></dt>
 <dd><p>Show progress rate.</p>
 </dd></dl>
 
@@ -2116,7 +2116,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.inference.SingleInstanceInferenceLayer">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">SingleInstanceInferenceLayer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L1215-L1366"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.SingleInstanceInferenceLayer" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">SingleInstanceInferenceLayer</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L1216-L1367"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.SingleInstanceInferenceLayer" title="Permalink to this definition">#</a></dt>
 <dd><p>Inference layer for applying single instance models.</p>
 <p>This layer encapsulates all of the inference operations requires for generating
 predictions from a single instance confidence map model. This includes
@@ -2205,7 +2205,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.SingleInstanceInferenceLayer.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L1305-L1366"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.SingleInstanceInferenceLayer.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L1306-L1367"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.SingleInstanceInferenceLayer.call" title="Permalink to this definition">#</a></dt>
 <dd><p>Predict instance confidence maps and find peaks.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -2233,7 +2233,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.inference.SingleInstanceInferenceModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">SingleInstanceInferenceModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L1369-L1401"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.SingleInstanceInferenceModel" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">SingleInstanceInferenceModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L1370-L1402"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.SingleInstanceInferenceModel" title="Permalink to this definition">#</a></dt>
 <dd><p>Single instance prediction model.</p>
 <p>This model encapsulates the basic single instance approach where it is assumed that
 there is only one instance in the frame. The images are passed to a peak detector
@@ -2248,7 +2248,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.SingleInstanceInferenceModel.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">example</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L1386-L1401"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.SingleInstanceInferenceModel.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">example</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L1387-L1402"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.SingleInstanceInferenceModel.call" title="Permalink to this definition">#</a></dt>
 <dd><p>Predict instances for one batch of images.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -2274,7 +2274,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.inference.SingleInstancePredictor">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">SingleInstancePredictor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">confmap_config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="sleap.nn.config.training_job.html#sleap.nn.config.training_job.TrainingJobConfig" title="sleap.nn.config.training_job.TrainingJobConfig"><span class="pre">sleap.nn.config.training_job.TrainingJobConfig</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">confmap_model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="sleap.nn.model.html#sleap.nn.model.Model" title="sleap.nn.model.Model"><span class="pre">sleap.nn.model.Model</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">inference_model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#sleap.nn.inference.SingleInstanceInferenceModel" title="sleap.nn.inference.SingleInstanceInferenceModel"><span class="pre">sleap.nn.inference.SingleInstanceInferenceModel</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">peak_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_refinement</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_patch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbosity</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'rich'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">report_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_paths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">NOTHING</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L1405-L1621"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.SingleInstancePredictor" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">SingleInstancePredictor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">confmap_config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="sleap.nn.config.training_job.html#sleap.nn.config.training_job.TrainingJobConfig" title="sleap.nn.config.training_job.TrainingJobConfig"><span class="pre">sleap.nn.config.training_job.TrainingJobConfig</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">confmap_model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="sleap.nn.model.html#sleap.nn.model.Model" title="sleap.nn.model.Model"><span class="pre">sleap.nn.model.Model</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">inference_model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#sleap.nn.inference.SingleInstanceInferenceModel" title="sleap.nn.inference.SingleInstanceInferenceModel"><span class="pre">sleap.nn.inference.SingleInstanceInferenceModel</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">peak_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_refinement</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_patch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbosity</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'rich'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">report_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_paths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">NOTHING</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L1406-L1622"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.SingleInstancePredictor" title="Permalink to this definition">#</a></dt>
 <dd><p>Single instance predictor.</p>
 <p>This high-level class handles initialization, preprocessing and tracking using a
 trained single instance SLEAP model.</p>
@@ -2378,7 +2378,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.SingleInstancePredictor.export_model">
-<span class="sig-name descname"><span class="pre">export_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">signatures</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'serving_default'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_traces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tensors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unrag_outputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L1601-L1621"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.SingleInstancePredictor.export_model" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">export_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">signatures</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'serving_default'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_traces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tensors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unrag_outputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L1602-L1622"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.SingleInstancePredictor.export_model" title="Permalink to this definition">#</a></dt>
 <dd><p>Export a trained SLEAP model as a frozen graph. Initializes model,
 creates a dummy tracing batch and passes it through the model. The
 frozen graph is saved along with training meta info.</p>
@@ -2407,7 +2407,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.SingleInstancePredictor.from_trained_models">
-<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_trained_models</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">peak_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_refinement</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_patch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">resize_input_layer</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#sleap.nn.inference.SingleInstancePredictor" title="sleap.nn.inference.SingleInstancePredictor"><span class="pre">sleap.nn.inference.SingleInstancePredictor</span></a></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L1465-L1518"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.SingleInstancePredictor.from_trained_models" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_trained_models</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">peak_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_refinement</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_patch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">resize_input_layer</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#sleap.nn.inference.SingleInstancePredictor" title="sleap.nn.inference.SingleInstancePredictor"><span class="pre">sleap.nn.inference.SingleInstancePredictor</span></a></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L1466-L1519"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.SingleInstancePredictor.from_trained_models" title="Permalink to this definition">#</a></dt>
 <dd><p>Create the predictor from a saved model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -2446,7 +2446,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.inference.TopDownInferenceModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">TopDownInferenceModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L2211-L2276"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.TopDownInferenceModel" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">TopDownInferenceModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L2212-L2277"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.TopDownInferenceModel" title="Permalink to this definition">#</a></dt>
 <dd><p>Top-down instance prediction model.</p>
 <p>This model encapsulates the top-down approach where instances are first detected by
 local peak detection of an anchor point and then cropped. These instance-centered
@@ -2471,7 +2471,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.TopDownInferenceModel.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">example</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L2238-L2276"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.TopDownInferenceModel.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">example</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L2239-L2277"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.TopDownInferenceModel.call" title="Permalink to this definition">#</a></dt>
 <dd><p>Predict instances for one batch of images.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -2505,7 +2505,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.inference.TopDownMultiClassFindPeaks">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">TopDownMultiClassFindPeaks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L3817-L4083"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.TopDownMultiClassFindPeaks" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">TopDownMultiClassFindPeaks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L3818-L4084"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.TopDownMultiClassFindPeaks" title="Permalink to this definition">#</a></dt>
 <dd><p>Keras layer that predicts and classifies peaks from images using a trained model.</p>
 <p>This layer encapsulates all of the inference operations required for generating
 predictions from a centered instance confidence map and multi-class model. This
@@ -2613,7 +2613,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.TopDownMultiClassFindPeaks.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L3925-L4083"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.TopDownMultiClassFindPeaks.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L3926-L4084"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.TopDownMultiClassFindPeaks.call" title="Permalink to this definition">#</a></dt>
 <dd><p>Predict confidence maps and infer peak coordinates.</p>
 <p>This layer can be chained with a <a class="reference internal" href="#sleap.nn.inference.CentroidCrop" title="sleap.nn.inference.CentroidCrop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">CentroidCrop</span></code></a> layer to create a top-down
 inference function from full images.</p>
@@ -2674,7 +2674,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.inference.TopDownMultiClassInferenceModel">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">TopDownMultiClassInferenceModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L4086-L4156"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.TopDownMultiClassInferenceModel" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">TopDownMultiClassInferenceModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L4087-L4157"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.TopDownMultiClassInferenceModel" title="Permalink to this definition">#</a></dt>
 <dd><p>Top-down instance prediction model.</p>
 <p>This model encapsulates the top-down approach where instances are first detected by
 local peak detection of an anchor point and then cropped. These instance-centered
@@ -2699,7 +2699,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.TopDownMultiClassInferenceModel.call">
-<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">example</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L4113-L4141"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.TopDownMultiClassInferenceModel.call" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">call</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">example</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">tensorflow.python.framework.ops.Tensor</span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L4114-L4142"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.TopDownMultiClassInferenceModel.call" title="Permalink to this definition">#</a></dt>
 <dd><p>Predict instances for one batch of images.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -2731,7 +2731,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.TopDownMultiClassInferenceModel.export_model">
-<span class="sig-name descname"><span class="pre">export_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">signatures</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'serving_default'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_traces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tensors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unrag_outputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L4143-L4156"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.TopDownMultiClassInferenceModel.export_model" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">export_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">signatures</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'serving_default'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_traces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tensors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unrag_outputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L4144-L4157"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.TopDownMultiClassInferenceModel.export_model" title="Permalink to this definition">#</a></dt>
 <dd><p>Save the frozen graph of a model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -2762,7 +2762,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.inference.TopDownMultiClassPredictor">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">TopDownMultiClassPredictor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">centroid_config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sleap.nn.config.training_job.html#sleap.nn.config.training_job.TrainingJobConfig" title="sleap.nn.config.training_job.TrainingJobConfig"><span class="pre">sleap.nn.config.training_job.TrainingJobConfig</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">centroid_model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sleap.nn.model.html#sleap.nn.model.Model" title="sleap.nn.model.Model"><span class="pre">sleap.nn.model.Model</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">confmap_config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sleap.nn.config.training_job.html#sleap.nn.config.training_job.TrainingJobConfig" title="sleap.nn.config.training_job.TrainingJobConfig"><span class="pre">sleap.nn.config.training_job.TrainingJobConfig</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">confmap_model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sleap.nn.model.html#sleap.nn.model.Model" title="sleap.nn.model.Model"><span class="pre">sleap.nn.model.Model</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inference_model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#sleap.nn.inference.TopDownMultiClassInferenceModel" title="sleap.nn.inference.TopDownMultiClassInferenceModel"><span class="pre">sleap.nn.inference.TopDownMultiClassInferenceModel</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">peak_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_refinement</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_patch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tracks</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sleap.instance.html#sleap.instance.Track" title="sleap.instance.Track"><span class="pre">sleap.instance.Track</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbosity</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'rich'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">report_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_paths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">NOTHING</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L4160-L4539"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.TopDownMultiClassPredictor" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">TopDownMultiClassPredictor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">centroid_config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sleap.nn.config.training_job.html#sleap.nn.config.training_job.TrainingJobConfig" title="sleap.nn.config.training_job.TrainingJobConfig"><span class="pre">sleap.nn.config.training_job.TrainingJobConfig</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">centroid_model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sleap.nn.model.html#sleap.nn.model.Model" title="sleap.nn.model.Model"><span class="pre">sleap.nn.model.Model</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">confmap_config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sleap.nn.config.training_job.html#sleap.nn.config.training_job.TrainingJobConfig" title="sleap.nn.config.training_job.TrainingJobConfig"><span class="pre">sleap.nn.config.training_job.TrainingJobConfig</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">confmap_model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sleap.nn.model.html#sleap.nn.model.Model" title="sleap.nn.model.Model"><span class="pre">sleap.nn.model.Model</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inference_model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#sleap.nn.inference.TopDownMultiClassInferenceModel" title="sleap.nn.inference.TopDownMultiClassInferenceModel"><span class="pre">sleap.nn.inference.TopDownMultiClassInferenceModel</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">peak_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_refinement</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_patch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tracks</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sleap.instance.html#sleap.instance.Track" title="sleap.instance.Track"><span class="pre">sleap.instance.Track</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbosity</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'rich'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">report_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_paths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">NOTHING</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L4161-L4540"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.TopDownMultiClassPredictor" title="Permalink to this definition">#</a></dt>
 <dd><p>Top-down multi-instance predictor with classification.</p>
 <p>This high-level class handles initialization, preprocessing and tracking using a
 trained top-down multi-instance classification SLEAP model.</p>
@@ -2921,7 +2921,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.TopDownMultiClassPredictor.export_model">
-<span class="sig-name descname"><span class="pre">export_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">signatures</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'serving_default'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_traces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tensors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unrag_outputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L4512-L4539"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.TopDownMultiClassPredictor.export_model" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">export_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">signatures</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'serving_default'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_traces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tensors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unrag_outputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L4513-L4540"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.TopDownMultiClassPredictor.export_model" title="Permalink to this definition">#</a></dt>
 <dd><p>Export a trained SLEAP model as a frozen graph. Initializes model,
 creates a dummy tracing batch and passes it through the model. The
 frozen graph is saved along with training meta info.</p>
@@ -2950,7 +2950,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.TopDownMultiClassPredictor.from_trained_models">
-<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_trained_models</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">centroid_model_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">confmap_model_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">peak_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_refinement</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_patch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">resize_input_layer</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#sleap.nn.inference.TopDownMultiClassPredictor" title="sleap.nn.inference.TopDownMultiClassPredictor"><span class="pre">sleap.nn.inference.TopDownMultiClassPredictor</span></a></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L4259-L4347"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.TopDownMultiClassPredictor.from_trained_models" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_trained_models</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">centroid_model_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">confmap_model_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">peak_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_refinement</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_patch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">resize_input_layer</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#sleap.nn.inference.TopDownMultiClassPredictor" title="sleap.nn.inference.TopDownMultiClassPredictor"><span class="pre">sleap.nn.inference.TopDownMultiClassPredictor</span></a></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L4260-L4348"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.TopDownMultiClassPredictor.from_trained_models" title="Permalink to this definition">#</a></dt>
 <dd><p>Create predictor from saved models.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -2993,7 +2993,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.TopDownMultiClassPredictor.make_pipeline">
-<span class="sig-name descname"><span class="pre">make_pipeline</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_provider</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.data.pipelines.Provider</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sleap.nn.data.pipelines.html#sleap.nn.data.pipelines.Pipeline" title="sleap.nn.data.pipelines.Pipeline"><span class="pre">sleap.nn.data.pipelines.Pipeline</span></a></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L4367-L4401"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.TopDownMultiClassPredictor.make_pipeline" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">make_pipeline</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_provider</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.data.pipelines.Provider</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sleap.nn.data.pipelines.html#sleap.nn.data.pipelines.Pipeline" title="sleap.nn.data.pipelines.Pipeline"><span class="pre">sleap.nn.data.pipelines.Pipeline</span></a></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L4368-L4402"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.TopDownMultiClassPredictor.make_pipeline" title="Permalink to this definition">#</a></dt>
 <dd><p>Make a data loading pipeline.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -3015,7 +3015,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.inference.TopDownPredictor">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">TopDownPredictor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">centroid_config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sleap.nn.config.training_job.html#sleap.nn.config.training_job.TrainingJobConfig" title="sleap.nn.config.training_job.TrainingJobConfig"><span class="pre">sleap.nn.config.training_job.TrainingJobConfig</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">centroid_model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sleap.nn.model.html#sleap.nn.model.Model" title="sleap.nn.model.Model"><span class="pre">sleap.nn.model.Model</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">confmap_config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sleap.nn.config.training_job.html#sleap.nn.config.training_job.TrainingJobConfig" title="sleap.nn.config.training_job.TrainingJobConfig"><span class="pre">sleap.nn.config.training_job.TrainingJobConfig</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">confmap_model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sleap.nn.model.html#sleap.nn.model.Model" title="sleap.nn.model.Model"><span class="pre">sleap.nn.model.Model</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inference_model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#sleap.nn.inference.TopDownInferenceModel" title="sleap.nn.inference.TopDownInferenceModel"><span class="pre">sleap.nn.inference.TopDownInferenceModel</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">peak_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_refinement</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_patch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbosity</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'rich'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">report_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_paths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">NOTHING</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L2280-L2690"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.TopDownPredictor" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">TopDownPredictor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">centroid_config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sleap.nn.config.training_job.html#sleap.nn.config.training_job.TrainingJobConfig" title="sleap.nn.config.training_job.TrainingJobConfig"><span class="pre">sleap.nn.config.training_job.TrainingJobConfig</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">centroid_model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sleap.nn.model.html#sleap.nn.model.Model" title="sleap.nn.model.Model"><span class="pre">sleap.nn.model.Model</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">confmap_config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sleap.nn.config.training_job.html#sleap.nn.config.training_job.TrainingJobConfig" title="sleap.nn.config.training_job.TrainingJobConfig"><span class="pre">sleap.nn.config.training_job.TrainingJobConfig</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">confmap_model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sleap.nn.model.html#sleap.nn.model.Model" title="sleap.nn.model.Model"><span class="pre">sleap.nn.model.Model</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inference_model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#sleap.nn.inference.TopDownInferenceModel" title="sleap.nn.inference.TopDownInferenceModel"><span class="pre">sleap.nn.inference.TopDownInferenceModel</span></a><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">peak_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_refinement</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_patch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbosity</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'rich'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">report_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_paths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">NOTHING</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L2281-L2691"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.TopDownPredictor" title="Permalink to this definition">#</a></dt>
 <dd><p>Top-down multi-instance predictor.</p>
 <p>This high-level class handles initialization, preprocessing and tracking using a
 trained top-down multi-instance SLEAP model.</p>
@@ -3176,7 +3176,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.TopDownPredictor.export_model">
-<span class="sig-name descname"><span class="pre">export_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">signatures</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'serving_default'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_traces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tensors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unrag_outputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L2663-L2690"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.TopDownPredictor.export_model" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">export_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">signatures</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'serving_default'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_traces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tensors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unrag_outputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L2664-L2691"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.TopDownPredictor.export_model" title="Permalink to this definition">#</a></dt>
 <dd><p>Export a trained SLEAP model as a frozen graph. Initializes model,
 creates a dummy tracing batch and passes it through the model. The
 frozen graph is saved along with training meta info.</p>
@@ -3205,7 +3205,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.TopDownPredictor.from_trained_models">
-<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_trained_models</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">centroid_model_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">confmap_model_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">peak_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_refinement</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_patch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">resize_input_layer</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#sleap.nn.inference.TopDownPredictor" title="sleap.nn.inference.TopDownPredictor"><span class="pre">sleap.nn.inference.TopDownPredictor</span></a></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L2391-L2487"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.TopDownPredictor.from_trained_models" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_trained_models</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">centroid_model_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">confmap_model_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">peak_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_refinement</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">integral_patch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">resize_input_layer</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#sleap.nn.inference.TopDownPredictor" title="sleap.nn.inference.TopDownPredictor"><span class="pre">sleap.nn.inference.TopDownPredictor</span></a></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L2392-L2488"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.TopDownPredictor.from_trained_models" title="Permalink to this definition">#</a></dt>
 <dd><p>Create predictor from saved models.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -3252,7 +3252,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.TopDownPredictor.make_pipeline">
-<span class="sig-name descname"><span class="pre">make_pipeline</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_provider</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.data.pipelines.Provider</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sleap.nn.data.pipelines.html#sleap.nn.data.pipelines.Pipeline" title="sleap.nn.data.pipelines.Pipeline"><span class="pre">sleap.nn.data.pipelines.Pipeline</span></a></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L2499-L2545"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.TopDownPredictor.make_pipeline" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">make_pipeline</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_provider</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.data.pipelines.Provider</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="sleap.nn.data.pipelines.html#sleap.nn.data.pipelines.Pipeline" title="sleap.nn.data.pipelines.Pipeline"><span class="pre">sleap.nn.data.pipelines.Pipeline</span></a></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L2500-L2546"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.TopDownPredictor.make_pipeline" title="Permalink to this definition">#</a></dt>
 <dd><p>Make a data loading pipeline.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -3274,11 +3274,11 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.inference.VisualPredictor">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">VisualPredictor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="sleap.nn.config.training_job.html#sleap.nn.config.training_job.TrainingJobConfig" title="sleap.nn.config.training_job.TrainingJobConfig"><span class="pre">sleap.nn.config.training_job.TrainingJobConfig</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="sleap.nn.model.html#sleap.nn.model.Model" title="sleap.nn.model.Model"><span class="pre">sleap.nn.model.Model</span></a></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbosity</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'rich'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">report_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_paths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">NOTHING</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L593-L719"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.VisualPredictor" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">VisualPredictor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="sleap.nn.config.training_job.html#sleap.nn.config.training_job.TrainingJobConfig" title="sleap.nn.config.training_job.TrainingJobConfig"><span class="pre">sleap.nn.config.training_job.TrainingJobConfig</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="sleap.nn.model.html#sleap.nn.model.Model" title="sleap.nn.model.Model"><span class="pre">sleap.nn.model.Model</span></a></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbosity</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'rich'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">report_rate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_paths</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">NOTHING</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L594-L720"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.VisualPredictor" title="Permalink to this definition">#</a></dt>
 <dd><p>Predictor class for generating the visual output of model.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.VisualPredictor.make_pipeline">
-<span class="sig-name descname"><span class="pre">make_pipeline</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L649-L667"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.VisualPredictor.make_pipeline" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">make_pipeline</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L650-L668"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.VisualPredictor.make_pipeline" title="Permalink to this definition">#</a></dt>
 <dd><p>Make a data loading pipeline.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -3298,7 +3298,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.VisualPredictor.predict">
-<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_provider</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">sleap.nn.data.pipelines.Provider</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L715-L719"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.VisualPredictor.predict" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data_provider</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">sleap.nn.data.pipelines.Provider</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L716-L720"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.VisualPredictor.predict" title="Permalink to this definition">#</a></dt>
 <dd><p>Run inference on a data source.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -3320,7 +3320,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.inference.VisualPredictor.safely_generate">
-<span class="sig-name descname"><span class="pre">safely_generate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ds</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tensorflow.python.data.ops.dataset_ops.DatasetV2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">progress</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L669-L703"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.VisualPredictor.safely_generate" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">safely_generate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ds</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tensorflow.python.data.ops.dataset_ops.DatasetV2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">progress</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L670-L704"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.VisualPredictor.safely_generate" title="Permalink to this definition">#</a></dt>
 <dd><p>Yields examples from dataset, catching and logging exceptions.</p>
 </dd></dl>
 
@@ -3328,13 +3328,13 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="sleap.nn.inference.export_cli">
-<span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">export_cli</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L4984-L4999"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.export_cli" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">export_cli</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L4985-L5000"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.export_cli" title="Permalink to this definition">#</a></dt>
 <dd><p>CLI for sleap-export.</p>
 </dd></dl>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="sleap.nn.inference.export_model">
-<span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">export_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'exported_model'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">signatures</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'serving_default'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_traces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tensors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unrag_outputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L4941-L4981"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.export_model" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">export_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'exported_model'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">signatures</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'serving_default'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_traces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tensors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unrag_outputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L4942-L4982"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.export_model" title="Permalink to this definition">#</a></dt>
 <dd><p>High level export of a trained SLEAP model as a frozen graph.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -3362,7 +3362,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="sleap.nn.inference.find_head">
-<span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">find_head</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">keras.engine.training.Model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L1190-L1212"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.find_head" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">find_head</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">keras.engine.training.Model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L1191-L1213"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.find_head" title="Permalink to this definition">#</a></dt>
 <dd><p>Return the index of a head in a model’s outputs.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -3389,7 +3389,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="sleap.nn.inference.get_keras_model_path">
-<span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">get_keras_model_path</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L131-L143"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.get_keras_model_path" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">get_keras_model_path</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L132-L144"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.get_keras_model_path" title="Permalink to this definition">#</a></dt>
 <dd><p>Utility method for finding the path to a saved Keras model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -3403,7 +3403,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="sleap.nn.inference.get_model_output_stride">
-<span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">get_model_output_stride</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">keras.engine.training.Model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_ind</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_ind</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-</span> <span class="pre">1</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">int</span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L1160-L1187"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.get_model_output_stride" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">get_model_output_stride</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">keras.engine.training.Model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_ind</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output_ind</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-</span> <span class="pre">1</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">int</span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L1161-L1188"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.get_model_output_stride" title="Permalink to this definition">#</a></dt>
 <dd><p>Return the stride (1/scale) of the model outputs relative to the input.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -3429,7 +3429,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="sleap.nn.inference.load_model">
-<span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">load_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">peak_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">refinement</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'integral'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tracker</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tracker_window</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tracker_max_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">disable_gpu_preallocation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">progress_reporting</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'rich'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">resize_input_layer</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#sleap.nn.inference.Predictor" title="sleap.nn.inference.Predictor"><span class="pre">sleap.nn.inference.Predictor</span></a></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L4799-L4938"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.load_model" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">load_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_path</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">peak_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">refinement</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'integral'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tracker</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tracker_window</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tracker_max_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">disable_gpu_preallocation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">progress_reporting</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'rich'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">resize_input_layer</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="#sleap.nn.inference.Predictor" title="sleap.nn.inference.Predictor"><span class="pre">sleap.nn.inference.Predictor</span></a></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L4800-L4939"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.load_model" title="Permalink to this definition">#</a></dt>
 <dd><p>Load a trained SLEAP model.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -3488,7 +3488,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="sleap.nn.inference.main">
-<span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">main</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L5406-L5541"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.main" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">main</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">args</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L5490-L5706"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.main" title="Permalink to this definition">#</a></dt>
 <dd><p>Entrypoint for <code class="xref py py-obj docutils literal notranslate"><span class="pre">sleap-track</span></code> CLI for running inference.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -3499,7 +3499,7 @@ <h1>sleap.nn.inference</h1>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="sleap.nn.inference.make_model_movenet">
-<span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">make_model_movenet</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">keras.engine.training.Model</span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L4542-L4576"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.make_model_movenet" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">sleap.nn.inference.</span></span><span class="sig-name descname"><span class="pre">make_model_movenet</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_name</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">keras.engine.training.Model</span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/inference.py#L4543-L4577"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.inference.make_model_movenet" title="Permalink to this definition">#</a></dt>
 <dd><p>Load a MoveNet model by name.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
diff --git a/develop/api/sleap.nn.tracker.components.html b/develop/api/sleap.nn.tracker.components.html
index d2c02fed3..915ac8549 100644
--- a/develop/api/sleap.nn.tracker.components.html
+++ b/develop/api/sleap.nn.tracker.components.html
@@ -329,7 +329,7 @@ <h1>sleap.nn.tracker.components</h1>
 </ol>
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.tracker.components.FrameMatches">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.tracker.components.</span></span><span class="sig-name descname"><span class="pre">FrameMatches</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">matches</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#sleap.nn.tracker.components.Match" title="sleap.nn.tracker.components.Match"><span class="pre">sleap.nn.tracker.components.Match</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cost_matrix</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unmatched_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.tracker.components.InstanceType</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">NOTHING</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracker/components.py#L371-L532"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracker.components.FrameMatches" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.tracker.components.</span></span><span class="sig-name descname"><span class="pre">FrameMatches</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">matches</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#sleap.nn.tracker.components.Match" title="sleap.nn.tracker.components.Match"><span class="pre">sleap.nn.tracker.components.Match</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cost_matrix</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unmatched_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.tracker.components.InstanceType</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">NOTHING</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracker/components.py#L463-L624"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracker.components.FrameMatches" title="Permalink to this definition">#</a></dt>
 <dd><p>Calculates (and stores) matches for a frame.</p>
 <p>This class encapsulates the logic to generate matches (using a custom
 matching function) from a cost matrix. One key feature is that it retains
@@ -375,7 +375,7 @@ <h1>sleap.nn.tracker.components</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.tracker.components.FrameMatches.from_candidate_instances">
-<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_candidate_instances</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">untracked_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.tracker.components.InstanceType</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">candidate_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.tracker.components.InstanceType</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">similarity_function</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Callable</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">matching_function</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Callable</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">robust_best_instance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracker/components.py#L406-L481"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracker.components.FrameMatches.from_candidate_instances" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">from_candidate_instances</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">untracked_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.tracker.components.InstanceType</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">candidate_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.tracker.components.InstanceType</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">similarity_function</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Callable</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">matching_function</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Callable</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">robust_best_instance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracker/components.py#L498-L573"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracker.components.FrameMatches.from_candidate_instances" title="Permalink to this definition">#</a></dt>
 <dd><p>Calculates (and stores) matches for a frame from candidate instance.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -407,13 +407,13 @@ <h1>sleap.nn.tracker.components</h1>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.tracker.components.Match">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.tracker.components.</span></span><span class="sig-name descname"><span class="pre">Match</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">track</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="sleap.instance.html#sleap.instance.Track" title="sleap.instance.Track"><span class="pre">sleap.instance.Track</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">instance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="sleap.instance.html#sleap.instance.Instance" title="sleap.instance.Instance"><span class="pre">sleap.instance.Instance</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">score</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">is_first_choice</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracker/components.py#L361-L367"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracker.components.Match" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.tracker.components.</span></span><span class="sig-name descname"><span class="pre">Match</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">track</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="sleap.instance.html#sleap.instance.Track" title="sleap.instance.Track"><span class="pre">sleap.instance.Track</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">instance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="sleap.instance.html#sleap.instance.Instance" title="sleap.instance.Instance"><span class="pre">sleap.instance.Instance</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">score</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">is_first_choice</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracker/components.py#L453-L459"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracker.components.Match" title="Permalink to this definition">#</a></dt>
 <dd><p>Stores a match between a specific instance and specific track.</p>
 </dd></dl>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="sleap.nn.tracker.components.centroid_distance">
-<span class="sig-prename descclassname"><span class="pre">sleap.nn.tracker.components.</span></span><span class="sig-name descname"><span class="pre">centroid_distance</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ref_instance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">sleap.nn.tracker.components.InstanceType</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">query_instance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">sleap.nn.tracker.components.InstanceType</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cache</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">float</span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracker/components.py#L43-L61"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracker.components.centroid_distance" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">sleap.nn.tracker.components.</span></span><span class="sig-name descname"><span class="pre">centroid_distance</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ref_instance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">sleap.nn.tracker.components.InstanceType</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">query_instance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">sleap.nn.tracker.components.InstanceType</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cache</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">float</span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracker/components.py#L135-L153"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracker.components.centroid_distance" title="Permalink to this definition">#</a></dt>
 <dd><p>Returns the negative distance between the centroids of two instances.</p>
 <p>Uses <code class="xref py py-obj docutils literal notranslate"><span class="pre">cache</span></code> dictionary (created with function so it persists between calls)
 since without cache this method is significantly slower than others.</p>
@@ -421,7 +421,7 @@ <h1>sleap.nn.tracker.components</h1>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="sleap.nn.tracker.components.connect_single_track_breaks">
-<span class="sig-prename descclassname"><span class="pre">sleap.nn.tracker.components.</span></span><span class="sig-name descname"><span class="pre">connect_single_track_breaks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">frames</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sleap.instance.html#sleap.instance.LabeledFrame" title="sleap.instance.LabeledFrame"><span class="pre">LabeledFrame</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">instance_count</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sleap.instance.html#sleap.instance.LabeledFrame" title="sleap.instance.LabeledFrame"><span class="pre">LabeledFrame</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracker/components.py#L309-L357"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracker.components.connect_single_track_breaks" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">sleap.nn.tracker.components.</span></span><span class="sig-name descname"><span class="pre">connect_single_track_breaks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">frames</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sleap.instance.html#sleap.instance.LabeledFrame" title="sleap.instance.LabeledFrame"><span class="pre">LabeledFrame</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">instance_count</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sleap.instance.html#sleap.instance.LabeledFrame" title="sleap.instance.LabeledFrame"><span class="pre">LabeledFrame</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracker/components.py#L401-L449"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracker.components.connect_single_track_breaks" title="Permalink to this definition">#</a></dt>
 <dd><p>Merges breaks in tracks by connecting single lost with single new track.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -438,7 +438,7 @@ <h1>sleap.nn.tracker.components</h1>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="sleap.nn.tracker.components.cull_frame_instances">
-<span class="sig-prename descclassname"><span class="pre">sleap.nn.tracker.components.</span></span><span class="sig-name descname"><span class="pre">cull_frame_instances</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">instances_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.tracker.components.InstanceType</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">instance_count</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iou_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sleap.instance.html#sleap.instance.LabeledFrame" title="sleap.instance.LabeledFrame"><span class="pre">LabeledFrame</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracker/components.py#L258-L306"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracker.components.cull_frame_instances" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">sleap.nn.tracker.components.</span></span><span class="sig-name descname"><span class="pre">cull_frame_instances</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">instances_list</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.tracker.components.InstanceType</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">instance_count</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iou_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sleap.instance.html#sleap.instance.LabeledFrame" title="sleap.instance.LabeledFrame"><span class="pre">LabeledFrame</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracker/components.py#L350-L398"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracker.components.cull_frame_instances" title="Permalink to this definition">#</a></dt>
 <dd><p>Removes instances (for single frame) over instance per frame threshold.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -458,7 +458,7 @@ <h1>sleap.nn.tracker.components</h1>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="sleap.nn.tracker.components.cull_instances">
-<span class="sig-prename descclassname"><span class="pre">sleap.nn.tracker.components.</span></span><span class="sig-name descname"><span class="pre">cull_instances</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">frames</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sleap.instance.html#sleap.instance.LabeledFrame" title="sleap.instance.LabeledFrame"><span class="pre">LabeledFrame</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">instance_count</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iou_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracker/components.py#L202-L255"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracker.components.cull_instances" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">sleap.nn.tracker.components.</span></span><span class="sig-name descname"><span class="pre">cull_instances</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">frames</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sleap.instance.html#sleap.instance.LabeledFrame" title="sleap.instance.LabeledFrame"><span class="pre">LabeledFrame</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">instance_count</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iou_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracker/components.py#L294-L347"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracker.components.cull_instances" title="Permalink to this definition">#</a></dt>
 <dd><p>Removes instances from frames over instance per frame threshold.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -476,40 +476,69 @@ <h1>sleap.nn.tracker.components</h1>
 </dl>
 </dd></dl>
 
+<dl class="py function">
+<dt class="sig sig-object py" id="sleap.nn.tracker.components.factory_object_keypoint_similarity">
+<span class="sig-prename descclassname"><span class="pre">sleap.nn.tracker.components.</span></span><span class="sig-name descname"><span class="pre">factory_object_keypoint_similarity</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">keypoint_errors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">score_weighting</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalization_keypoints</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'all'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Callable</span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracker/components.py#L46-L132"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracker.components.factory_object_keypoint_similarity" title="Permalink to this definition">#</a></dt>
+<dd><p>Factory for similarity function based on object keypoints.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters</dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>keypoint_errors</strong> – The standard error of the distance between the predicted
+keypoint and the true value, in pixels.
+If None or empty list, defaults to 1.
+If a scalar or singleton list, every keypoint has the same error.
+If a list, defines the error for each keypoint, the length should be equal
+to the number of keypoints in the skeleton.</p></li>
+<li><p><strong>score_weighting</strong> – If True, use <code class="xref py py-obj docutils literal notranslate"><span class="pre">score</span></code> of <code class="xref py py-obj docutils literal notranslate"><span class="pre">PredictedPoint</span></code> to weigh
+<code class="xref py py-obj docutils literal notranslate"><span class="pre">keypoint_errors</span></code>. If False, do not add a weight to <code class="xref py py-obj docutils literal notranslate"><span class="pre">keypoint_errors</span></code>.</p></li>
+<li><p><strong>normalization_keypoints</strong> – Determine how to normalize similarity score. One of
+[“all”, “ref”, “union”]. If “all”, similarity score is normalized by number
+of reference points. If “ref”, similarity score is normalized by number of
+visible reference points. If “union”, similarity score is normalized by
+number of points both visible in query and reference instance.
+Default is “all”.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns</dt>
+<dd class="field-even"><p>Callable that returns object keypoint similarity between two <a href="#id1"><span class="problematic" id="id2">`</span></a>Instance`s.</p>
+</dd>
+</dl>
+</dd></dl>
+
 <dl class="py function">
 <dt class="sig sig-object py" id="sleap.nn.tracker.components.first_choice_matching">
-<span class="sig-prename descclassname"><span class="pre">sleap.nn.tracker.components.</span></span><span class="sig-name descname"><span class="pre">first_choice_matching</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cost_matrix</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.ndarray</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracker/components.py#L535-L545"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracker.components.first_choice_matching" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">sleap.nn.tracker.components.</span></span><span class="sig-name descname"><span class="pre">first_choice_matching</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cost_matrix</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.ndarray</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracker/components.py#L627-L637"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracker.components.first_choice_matching" title="Permalink to this definition">#</a></dt>
 <dd><p>Returns match indices where each row gets matched to best column.</p>
 <p>The means that multiple rows might be matched to the same column.</p>
 </dd></dl>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="sleap.nn.tracker.components.greedy_matching">
-<span class="sig-prename descclassname"><span class="pre">sleap.nn.tracker.components.</span></span><span class="sig-name descname"><span class="pre">greedy_matching</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cost_matrix</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.ndarray</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracker/components.py#L88-L109"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracker.components.greedy_matching" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">sleap.nn.tracker.components.</span></span><span class="sig-name descname"><span class="pre">greedy_matching</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cost_matrix</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.ndarray</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracker/components.py#L180-L201"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracker.components.greedy_matching" title="Permalink to this definition">#</a></dt>
 <dd><p>Performs greedy bipartite matching.</p>
 </dd></dl>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="sleap.nn.tracker.components.hungarian_matching">
-<span class="sig-prename descclassname"><span class="pre">sleap.nn.tracker.components.</span></span><span class="sig-name descname"><span class="pre">hungarian_matching</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cost_matrix</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.ndarray</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracker/components.py#L81-L85"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracker.components.hungarian_matching" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">sleap.nn.tracker.components.</span></span><span class="sig-name descname"><span class="pre">hungarian_matching</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cost_matrix</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.ndarray</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracker/components.py#L173-L177"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracker.components.hungarian_matching" title="Permalink to this definition">#</a></dt>
 <dd><p>Wrapper for Hungarian matching algorithm in scipy.</p>
 </dd></dl>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="sleap.nn.tracker.components.instance_iou">
-<span class="sig-prename descclassname"><span class="pre">sleap.nn.tracker.components.</span></span><span class="sig-name descname"><span class="pre">instance_iou</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ref_instance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">sleap.nn.tracker.components.InstanceType</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">query_instance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">sleap.nn.tracker.components.InstanceType</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cache</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">float</span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracker/components.py#L64-L78"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracker.components.instance_iou" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">sleap.nn.tracker.components.</span></span><span class="sig-name descname"><span class="pre">instance_iou</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ref_instance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">sleap.nn.tracker.components.InstanceType</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">query_instance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">sleap.nn.tracker.components.InstanceType</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cache</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">float</span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracker/components.py#L156-L170"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracker.components.instance_iou" title="Permalink to this definition">#</a></dt>
 <dd><p>Computes IOU between bounding boxes of instances.</p>
 </dd></dl>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="sleap.nn.tracker.components.instance_similarity">
-<span class="sig-prename descclassname"><span class="pre">sleap.nn.tracker.components.</span></span><span class="sig-name descname"><span class="pre">instance_similarity</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ref_instance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">sleap.nn.tracker.components.InstanceType</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">query_instance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">sleap.nn.tracker.components.InstanceType</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">float</span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracker/components.py#L29-L40"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracker.components.instance_similarity" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">sleap.nn.tracker.components.</span></span><span class="sig-name descname"><span class="pre">instance_similarity</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ref_instance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">sleap.nn.tracker.components.InstanceType</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">query_instance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">sleap.nn.tracker.components.InstanceType</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">float</span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracker/components.py#L32-L43"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracker.components.instance_similarity" title="Permalink to this definition">#</a></dt>
 <dd><p>Computes similarity between instances.</p>
 </dd></dl>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="sleap.nn.tracker.components.nms_fast">
-<span class="sig-prename descclassname"><span class="pre">sleap.nn.tracker.components.</span></span><span class="sig-name descname"><span class="pre">nms_fast</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">boxes</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scores</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iou_threshold</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_count</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracker/components.py#L125-L199"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracker.components.nms_fast" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">sleap.nn.tracker.components.</span></span><span class="sig-name descname"><span class="pre">nms_fast</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">boxes</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scores</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iou_threshold</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_count</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracker/components.py#L217-L291"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracker.components.nms_fast" title="Permalink to this definition">#</a></dt>
 <dd><p><a class="reference external" href="https://www.pyimagesearch.com/2015/02/16/faster-non-maximum-suppression-python/">https://www.pyimagesearch.com/2015/02/16/faster-non-maximum-suppression-python/</a></p>
 </dd></dl>
 
diff --git a/develop/api/sleap.nn.tracking.html b/develop/api/sleap.nn.tracking.html
index e255a48f5..1d945f23c 100644
--- a/develop/api/sleap.nn.tracking.html
+++ b/develop/api/sleap.nn.tracking.html
@@ -322,13 +322,13 @@ <h1>sleap.nn.tracking</h1>
 <p>Tracking tools for linking grouped instances over time.</p>
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.tracking.BaseTracker">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.tracking.</span></span><span class="sig-name descname"><span class="pre">BaseTracker</span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L504-L531"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.BaseTracker" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.tracking.</span></span><span class="sig-name descname"><span class="pre">BaseTracker</span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L508-L535"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.BaseTracker" title="Permalink to this definition">#</a></dt>
 <dd><p>Abstract base class for tracker.</p>
 </dd></dl>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.tracking.FlowCandidateMaker">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.tracking.</span></span><span class="sig-name descname"><span class="pre">FlowCandidateMaker</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">min_points</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">img_scale</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">of_window_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">21</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">of_max_levels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_shifted_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">track_window</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shifted_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.tracking.ShiftedInstance</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">NOTHING</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L107-L354"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.FlowCandidateMaker" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.tracking.</span></span><span class="sig-name descname"><span class="pre">FlowCandidateMaker</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">min_points</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">img_scale</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">of_window_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">21</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">of_max_levels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_shifted_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">track_window</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shifted_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.tracking.ShiftedInstance</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">NOTHING</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L108-L355"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.FlowCandidateMaker" title="Permalink to this definition">#</a></dt>
 <dd><p>Class for producing optical flow shift matching candidates.</p>
 <dl class="py attribute">
 <dt class="sig sig-object py" id="sleap.nn.tracking.FlowCandidateMaker.min_points">
@@ -405,7 +405,7 @@ <h1>sleap.nn.tracking</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.tracking.FlowCandidateMaker.flow_shift_instances">
-<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">flow_shift_instances</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ref_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.tracker.components.InstanceType</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref_img</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_img</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_shifted_points</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">window_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">21</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_levels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.tracking.ShiftedInstance</span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L252-L354"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.FlowCandidateMaker.flow_shift_instances" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">flow_shift_instances</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ref_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.tracker.components.InstanceType</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref_img</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_img</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_shifted_points</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">window_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">21</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_levels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.tracking.ShiftedInstance</span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L253-L355"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.FlowCandidateMaker.flow_shift_instances" title="Permalink to this definition">#</a></dt>
 <dd><p>Generates instances in a new frame by applying optical flow displacements.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -438,7 +438,7 @@ <h1>sleap.nn.tracking</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.tracking.FlowCandidateMaker.get_shifted_instances">
-<span class="sig-name descname"><span class="pre">get_shifted_instances</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ref_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.tracker.components.InstanceType</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref_img</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref_t</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">img</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.tracking.ShiftedInstance</span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L163-L200"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.FlowCandidateMaker.get_shifted_instances" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">get_shifted_instances</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ref_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.tracker.components.InstanceType</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref_img</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref_t</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">img</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.tracking.ShiftedInstance</span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L164-L201"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.FlowCandidateMaker.get_shifted_instances" title="Permalink to this definition">#</a></dt>
 <dd><p>Returns a list of shifted instances and save shifted instances if needed.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -455,7 +455,7 @@ <h1>sleap.nn.tracking</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.tracking.FlowCandidateMaker.get_shifted_instances_from_earlier_time">
-<span class="sig-name descname"><span class="pre">get_shifted_instances_from_earlier_time</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="pre">ref_t:</span> <span class="pre">int,</span> <span class="pre">ref_img:</span> <span class="pre">numpy.ndarray,</span> <span class="pre">ref_instances:</span> <span class="pre">typing.List[sleap.nn.tracker.components.InstanceType],</span> <span class="pre">t:</span> <span class="pre">int)</span> <span class="pre">-&gt;</span> <span class="pre">(&lt;class</span> <span class="pre">'numpy.ndarray'&gt;,</span> <span class="pre">typing.List[~InstanceType]</span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L142-L161"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.FlowCandidateMaker.get_shifted_instances_from_earlier_time" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">get_shifted_instances_from_earlier_time</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="pre">ref_t:</span> <span class="pre">int,</span> <span class="pre">ref_img:</span> <span class="pre">numpy.ndarray,</span> <span class="pre">ref_instances:</span> <span class="pre">typing.List[sleap.nn.tracker.components.InstanceType],</span> <span class="pre">t:</span> <span class="pre">int)</span> <span class="pre">-&gt;</span> <span class="pre">(&lt;class</span> <span class="pre">'numpy.ndarray'&gt;,</span> <span class="pre">typing.List[~InstanceType]</span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L143-L162"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.FlowCandidateMaker.get_shifted_instances_from_earlier_time" title="Permalink to this definition">#</a></dt>
 <dd><p>Generate shifted instances and corresponding image from earlier time.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -471,7 +471,7 @@ <h1>sleap.nn.tracking</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.tracking.FlowCandidateMaker.prune_shifted_instances">
-<span class="sig-name descname"><span class="pre">prune_shifted_instances</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">t</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L233-L250"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.FlowCandidateMaker.prune_shifted_instances" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">prune_shifted_instances</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">t</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L234-L251"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.FlowCandidateMaker.prune_shifted_instances" title="Permalink to this definition">#</a></dt>
 <dd><p>Prune the shifted instances older than <code class="xref py py-obj docutils literal notranslate"><span class="pre">self.track_window</span></code>.</p>
 <p>If <code class="xref py py-obj docutils literal notranslate"><span class="pre">self.save_shifted_instances</span></code> is False, do nothing.</p>
 <dl class="simple">
@@ -487,17 +487,17 @@ <h1>sleap.nn.tracking</h1>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.tracking.FlowMaxTracker">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.tracking.</span></span><span class="sig-name descname"><span class="pre">FlowMaxTracker</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">max_tracks:</span> <span class="pre">typing.Optional[int]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">track_window:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">similarity_function:</span> <span class="pre">typing.Optional[typing.Callable]</span> <span class="pre">=</span> <span class="pre">&lt;function</span> <span class="pre">instance_similarity&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">matching_function:</span> <span class="pre">typing.Callable</span> <span class="pre">=</span> <span class="pre">&lt;function</span> <span class="pre">greedy_matching&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">candidate_maker:</span> <span class="pre">object</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_tracking:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cleaner:</span> <span class="pre">typing.Optional[typing.Callable]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_instance_count:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pre_cull_function:</span> <span class="pre">typing.Optional[typing.Callable]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">post_connect_single_breaks:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">robust_best_instance:</span> <span class="pre">float</span> <span class="pre">=</span> <span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_new_track_points:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">track_matching_queue:</span> <span class="pre">typing.Deque[sleap.nn.tracking.MatchedFrameInstances]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">track_matching_queue_dict:</span> <span class="pre">typing.Dict[sleap.instance.Track</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">typing.Deque[sleap.nn.tracking.MatchedFrameInstance]]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spawned_tracks:</span> <span class="pre">typing.List[sleap.instance.Track]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_tracked_instances:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tracked_instances:</span> <span class="pre">typing.Dict[int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">typing.List[sleap.nn.tracker.components.InstanceType]]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">last_matches:</span> <span class="pre">typing.Optional[sleap.nn.tracker.components.FrameMatches]</span> <span class="pre">=</span> <span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L1091-L1098"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.FlowMaxTracker" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.tracking.</span></span><span class="sig-name descname"><span class="pre">FlowMaxTracker</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">max_tracks:</span> <span class="pre">typing.Optional[int]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">track_window:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">similarity_function:</span> <span class="pre">typing.Optional[typing.Callable]</span> <span class="pre">=</span> <span class="pre">&lt;function</span> <span class="pre">instance_similarity&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">matching_function:</span> <span class="pre">typing.Callable</span> <span class="pre">=</span> <span class="pre">&lt;function</span> <span class="pre">greedy_matching&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">candidate_maker:</span> <span class="pre">object</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_tracking:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cleaner:</span> <span class="pre">typing.Optional[typing.Callable]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_instance_count:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pre_cull_function:</span> <span class="pre">typing.Optional[typing.Callable]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">post_connect_single_breaks:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">robust_best_instance:</span> <span class="pre">float</span> <span class="pre">=</span> <span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_new_track_points:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">track_matching_queue:</span> <span class="pre">typing.Deque[sleap.nn.tracking.MatchedFrameInstances]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">track_matching_queue_dict:</span> <span class="pre">typing.Dict[sleap.instance.Track</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">typing.Deque[sleap.nn.tracking.MatchedFrameInstance]]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spawned_tracks:</span> <span class="pre">typing.List[sleap.instance.Track]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_tracked_instances:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tracked_instances:</span> <span class="pre">typing.Dict[int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">typing.List[sleap.nn.tracker.components.InstanceType]]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">last_matches:</span> <span class="pre">typing.Optional[sleap.nn.tracker.components.FrameMatches]</span> <span class="pre">=</span> <span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L1162-L1169"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.FlowMaxTracker" title="Permalink to this definition">#</a></dt>
 <dd><p>Pre-configured tracker to use optical flow shifted candidates with max tracks.</p>
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.tracking.FlowMaxTracker.matching_function">
-<span class="sig-name descname"><span class="pre">matching_function</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracker/components.py#L88-L109"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.FlowMaxTracker.matching_function" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">matching_function</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracker/components.py#L180-L201"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.FlowMaxTracker.matching_function" title="Permalink to this definition">#</a></dt>
 <dd><p>Performs greedy bipartite matching.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.tracking.FlowMaxTracker.similarity_function">
-<span class="sig-name descname"><span class="pre">similarity_function</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">query_instance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">sleap.nn.tracker.components.InstanceType</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">float</span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracker/components.py#L29-L40"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.FlowMaxTracker.similarity_function" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">similarity_function</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">query_instance</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">sleap.nn.tracker.components.InstanceType</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">float</span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracker/components.py#L32-L43"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.FlowMaxTracker.similarity_function" title="Permalink to this definition">#</a></dt>
 <dd><p>Computes similarity between instances.</p>
 </dd></dl>
 
@@ -505,7 +505,7 @@ <h1>sleap.nn.tracking</h1>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.tracking.FlowMaxTracksCandidateMaker">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.tracking.</span></span><span class="sig-name descname"><span class="pre">FlowMaxTracksCandidateMaker</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">min_points</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">img_scale</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">of_window_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">21</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">of_max_levels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_shifted_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">track_window</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shifted_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.tracking.ShiftedInstance</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_tracks</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L358-L434"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.FlowMaxTracksCandidateMaker" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.tracking.</span></span><span class="sig-name descname"><span class="pre">FlowMaxTracksCandidateMaker</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">min_points</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">img_scale</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">of_window_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">21</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">of_max_levels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_shifted_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">track_window</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shifted_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.tracking.ShiftedInstance</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_tracks</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L359-L436"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.FlowMaxTracksCandidateMaker" title="Permalink to this definition">#</a></dt>
 <dd><p>Class for producing optical flow shift matching candidates with maximum tracks.</p>
 <dl class="py attribute">
 <dt class="sig sig-object py" id="sleap.nn.tracking.FlowMaxTracksCandidateMaker.max_tracks">
@@ -520,7 +520,7 @@ <h1>sleap.nn.tracking</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.tracking.FlowMaxTracksCandidateMaker.get_ref_instances">
-<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_ref_instances</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ref_t</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref_img</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">track_matching_queue_dict</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sleap.instance.html#sleap.instance.Track" title="sleap.instance.Track"><span class="pre">sleap.instance.Track</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Deque</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.tracking.MatchedFrameInstance</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.tracker.components.InstanceType</span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L368-L389"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.FlowMaxTracksCandidateMaker.get_ref_instances" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_ref_instances</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ref_t</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ref_img</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">numpy.ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">track_matching_queue_dict</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Dict</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sleap.instance.html#sleap.instance.Track" title="sleap.instance.Track"><span class="pre">sleap.instance.Track</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Deque</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.tracking.MatchedFrameInstance</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.tracker.components.InstanceType</span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L369-L390"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.FlowMaxTracksCandidateMaker.get_ref_instances" title="Permalink to this definition">#</a></dt>
 <dd><p>Generates a list of instances based on the reference time and image.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -538,13 +538,13 @@ <h1>sleap.nn.tracking</h1>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.tracking.FlowTracker">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.tracking.</span></span><span class="sig-name descname"><span class="pre">FlowTracker</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">max_tracks:</span> <span class="pre">typing.Optional[int]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">track_window:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_tracking:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cleaner:</span> <span class="pre">typing.Optional[typing.Callable]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_instance_count:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pre_cull_function:</span> <span class="pre">typing.Optional[typing.Callable]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">post_connect_single_breaks:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">robust_best_instance:</span> <span class="pre">float</span> <span class="pre">=</span> <span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_new_track_points:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">track_matching_queue:</span> <span class="pre">typing.Deque[sleap.nn.tracking.MatchedFrameInstances]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">track_matching_queue_dict:</span> <span class="pre">typing.Dict[sleap.instance.Track</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">typing.Deque[sleap.nn.tracking.MatchedFrameInstance]]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spawned_tracks:</span> <span class="pre">typing.List[sleap.instance.Track]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_tracked_instances:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tracked_instances:</span> <span class="pre">typing.Dict[int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">typing.List[sleap.nn.tracker.components.InstanceType]]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">last_matches:</span> <span class="pre">typing.Optional[sleap.nn.tracker.components.FrameMatches]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">similarity_function:</span> <span class="pre">typing.Callable</span> <span class="pre">=</span> <span class="pre">&lt;function</span> <span class="pre">instance_similarity&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">matching_function:</span> <span class="pre">typing.Callable</span> <span class="pre">=</span> <span class="pre">&lt;function</span> <span class="pre">greedy_matching&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">candidate_maker:</span> <span class="pre">object</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L1080-L1085"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.FlowTracker" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.tracking.</span></span><span class="sig-name descname"><span class="pre">FlowTracker</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">max_tracks:</span> <span class="pre">typing.Optional[int]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">track_window:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_tracking:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cleaner:</span> <span class="pre">typing.Optional[typing.Callable]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_instance_count:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pre_cull_function:</span> <span class="pre">typing.Optional[typing.Callable]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">post_connect_single_breaks:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">robust_best_instance:</span> <span class="pre">float</span> <span class="pre">=</span> <span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_new_track_points:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">track_matching_queue:</span> <span class="pre">typing.Deque[sleap.nn.tracking.MatchedFrameInstances]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">track_matching_queue_dict:</span> <span class="pre">typing.Dict[sleap.instance.Track</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">typing.Deque[sleap.nn.tracking.MatchedFrameInstance]]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spawned_tracks:</span> <span class="pre">typing.List[sleap.instance.Track]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_tracked_instances:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tracked_instances:</span> <span class="pre">typing.Dict[int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">typing.List[sleap.nn.tracker.components.InstanceType]]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">last_matches:</span> <span class="pre">typing.Optional[sleap.nn.tracker.components.FrameMatches]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">similarity_function:</span> <span class="pre">typing.Callable</span> <span class="pre">=</span> <span class="pre">&lt;function</span> <span class="pre">instance_similarity&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">matching_function:</span> <span class="pre">typing.Callable</span> <span class="pre">=</span> <span class="pre">&lt;function</span> <span class="pre">greedy_matching&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">candidate_maker:</span> <span class="pre">object</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L1151-L1156"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.FlowTracker" title="Permalink to this definition">#</a></dt>
 <dd><p>A Tracker pre-configured to use optical flow shifted candidates.</p>
 </dd></dl>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.tracking.KalmanTracker">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.tracking.</span></span><span class="sig-name descname"><span class="pre">KalmanTracker</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">init_tracker</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#sleap.nn.tracking.Tracker" title="sleap.nn.tracking.Tracker"><span class="pre">sleap.nn.tracking.Tracker</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">init_set</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">sleap.nn.tracking.KalmanInitSet</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">kalman_tracker</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">sleap.nn.tracker.kalman.BareKalmanTracker</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cull_function</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Callable</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">init_frame_count</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">re_init_cooldown</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">re_init_after</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">20</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">init_done</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pre_tracked</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">last_t</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">last_init_t</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L1198-L1391"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.KalmanTracker" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.tracking.</span></span><span class="sig-name descname"><span class="pre">KalmanTracker</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">init_tracker</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#sleap.nn.tracking.Tracker" title="sleap.nn.tracking.Tracker"><span class="pre">sleap.nn.tracking.Tracker</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">init_set</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">sleap.nn.tracking.KalmanInitSet</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">kalman_tracker</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">sleap.nn.tracker.kalman.BareKalmanTracker</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cull_function</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Callable</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">init_frame_count</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">re_init_cooldown</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">re_init_after</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">20</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">init_done</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pre_tracked</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">last_t</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">last_init_t</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L1269-L1462"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.KalmanTracker" title="Permalink to this definition">#</a></dt>
 <dd><p>Class for Kalman filter-based tracking pipeline.</p>
 <p>Kalman filters need to be initialized with a certain number of already
 tracked instances.</p>
@@ -585,7 +585,7 @@ <h1>sleap.nn.tracking</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.tracking.KalmanTracker.make_tracker">
-<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">make_tracker</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">init_tracker</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#sleap.nn.tracking.Tracker" title="sleap.nn.tracking.Tracker"><span class="pre">sleap.nn.tracking.Tracker</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">node_indices</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">instance_count</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">instance_iou_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">init_frame_count</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L1250-L1301"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.KalmanTracker.make_tracker" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">make_tracker</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">init_tracker</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="#sleap.nn.tracking.Tracker" title="sleap.nn.tracking.Tracker"><span class="pre">sleap.nn.tracking.Tracker</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">node_indices</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">instance_count</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">instance_iou_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">init_frame_count</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L1321-L1372"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.KalmanTracker.make_tracker" title="Permalink to this definition">#</a></dt>
 <dd><p>Creates KalmanTracker object.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -610,7 +610,7 @@ <h1>sleap.nn.tracking</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.tracking.KalmanTracker.track">
-<span class="sig-name descname"><span class="pre">track</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">untracked_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.tracker.components.InstanceType</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">img</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.tracker.components.InstanceType</span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L1303-L1381"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.KalmanTracker.track" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">track</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">untracked_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.tracker.components.InstanceType</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">img</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.tracker.components.InstanceType</span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L1374-L1452"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.KalmanTracker.track" title="Permalink to this definition">#</a></dt>
 <dd><p>Tracks individual frame, using Kalman filters if possible.</p>
 </dd></dl>
 
@@ -618,31 +618,31 @@ <h1>sleap.nn.tracking</h1>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.tracking.SimpleCandidateMaker">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.tracking.</span></span><span class="sig-name descname"><span class="pre">SimpleCandidateMaker</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">min_points</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L438-L457"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.SimpleCandidateMaker" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.tracking.</span></span><span class="sig-name descname"><span class="pre">SimpleCandidateMaker</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">min_points</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L440-L459"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.SimpleCandidateMaker" title="Permalink to this definition">#</a></dt>
 <dd><p>Class for producing list of matching candidates from prior frames.</p>
 </dd></dl>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.tracking.SimpleMaxTracker">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.tracking.</span></span><span class="sig-name descname"><span class="pre">SimpleMaxTracker</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">track_window:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cleaner:</span> <span class="pre">typing.Optional[typing.Callable]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_instance_count:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pre_cull_function:</span> <span class="pre">typing.Optional[typing.Callable]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">post_connect_single_breaks:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">robust_best_instance:</span> <span class="pre">float</span> <span class="pre">=</span> <span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_new_track_points:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">track_matching_queue:</span> <span class="pre">typing.Deque[sleap.nn.tracking.MatchedFrameInstances]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">track_matching_queue_dict:</span> <span class="pre">typing.Dict[sleap.instance.Track</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">typing.Deque[sleap.nn.tracking.MatchedFrameInstance]]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spawned_tracks:</span> <span class="pre">typing.List[sleap.instance.Track]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_tracked_instances:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tracked_instances:</span> <span class="pre">typing.Dict[int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">typing.List[sleap.nn.tracker.components.InstanceType]]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">last_matches:</span> <span class="pre">typing.Optional[sleap.nn.tracker.components.FrameMatches]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">similarity_function:</span> <span class="pre">typing.Callable</span> <span class="pre">=</span> <span class="pre">&lt;function</span> <span class="pre">instance_iou&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">matching_function:</span> <span class="pre">typing.Callable</span> <span class="pre">=</span> <span class="pre">&lt;function</span> <span class="pre">hungarian_matching&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">candidate_maker:</span> <span class="pre">object</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_tracking:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_tracks:</span> <span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L1111-L1118"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.SimpleMaxTracker" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.tracking.</span></span><span class="sig-name descname"><span class="pre">SimpleMaxTracker</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">track_window:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cleaner:</span> <span class="pre">typing.Optional[typing.Callable]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_instance_count:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pre_cull_function:</span> <span class="pre">typing.Optional[typing.Callable]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">post_connect_single_breaks:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">robust_best_instance:</span> <span class="pre">float</span> <span class="pre">=</span> <span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_new_track_points:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">track_matching_queue:</span> <span class="pre">typing.Deque[sleap.nn.tracking.MatchedFrameInstances]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">track_matching_queue_dict:</span> <span class="pre">typing.Dict[sleap.instance.Track</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">typing.Deque[sleap.nn.tracking.MatchedFrameInstance]]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spawned_tracks:</span> <span class="pre">typing.List[sleap.instance.Track]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_tracked_instances:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tracked_instances:</span> <span class="pre">typing.Dict[int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">typing.List[sleap.nn.tracker.components.InstanceType]]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">last_matches:</span> <span class="pre">typing.Optional[sleap.nn.tracker.components.FrameMatches]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">similarity_function:</span> <span class="pre">typing.Callable</span> <span class="pre">=</span> <span class="pre">&lt;function</span> <span class="pre">instance_iou&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">matching_function:</span> <span class="pre">typing.Callable</span> <span class="pre">=</span> <span class="pre">&lt;function</span> <span class="pre">hungarian_matching&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">candidate_maker:</span> <span class="pre">object</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_tracking:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_tracks:</span> <span class="pre">int</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L1182-L1189"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.SimpleMaxTracker" title="Permalink to this definition">#</a></dt>
 <dd><p>Pre-configured tracker to use simple, non-image-based candidates with max tracks.</p>
 </dd></dl>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.tracking.SimpleMaxTracksCandidateMaker">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.tracking.</span></span><span class="sig-name descname"><span class="pre">SimpleMaxTracksCandidateMaker</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">min_points</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_tracks</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L461-L481"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.SimpleMaxTracksCandidateMaker" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.tracking.</span></span><span class="sig-name descname"><span class="pre">SimpleMaxTracksCandidateMaker</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">min_points</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_tracks</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L463-L484"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.SimpleMaxTracksCandidateMaker" title="Permalink to this definition">#</a></dt>
 <dd><p>Class to generate instances with maximum number of tracks from prior frames.</p>
 </dd></dl>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.tracking.SimpleTracker">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.tracking.</span></span><span class="sig-name descname"><span class="pre">SimpleTracker</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">max_tracks:</span> <span class="pre">typing.Optional[int]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">track_window:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_tracking:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cleaner:</span> <span class="pre">typing.Optional[typing.Callable]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_instance_count:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pre_cull_function:</span> <span class="pre">typing.Optional[typing.Callable]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">post_connect_single_breaks:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">robust_best_instance:</span> <span class="pre">float</span> <span class="pre">=</span> <span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_new_track_points:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">track_matching_queue:</span> <span class="pre">typing.Deque[sleap.nn.tracking.MatchedFrameInstances]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">track_matching_queue_dict:</span> <span class="pre">typing.Dict[sleap.instance.Track</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">typing.Deque[sleap.nn.tracking.MatchedFrameInstance]]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spawned_tracks:</span> <span class="pre">typing.List[sleap.instance.Track]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_tracked_instances:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tracked_instances:</span> <span class="pre">typing.Dict[int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">typing.List[sleap.nn.tracker.components.InstanceType]]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">last_matches:</span> <span class="pre">typing.Optional[sleap.nn.tracker.components.FrameMatches]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">similarity_function:</span> <span class="pre">typing.Callable</span> <span class="pre">=</span> <span class="pre">&lt;function</span> <span class="pre">instance_iou&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">matching_function:</span> <span class="pre">typing.Callable</span> <span class="pre">=</span> <span class="pre">&lt;function</span> <span class="pre">hungarian_matching&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">candidate_maker:</span> <span class="pre">object</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L1102-L1107"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.SimpleTracker" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.tracking.</span></span><span class="sig-name descname"><span class="pre">SimpleTracker</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">max_tracks:</span> <span class="pre">typing.Optional[int]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">track_window:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_tracking:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cleaner:</span> <span class="pre">typing.Optional[typing.Callable]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_instance_count:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pre_cull_function:</span> <span class="pre">typing.Optional[typing.Callable]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">post_connect_single_breaks:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">robust_best_instance:</span> <span class="pre">float</span> <span class="pre">=</span> <span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_new_track_points:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">track_matching_queue:</span> <span class="pre">typing.Deque[sleap.nn.tracking.MatchedFrameInstances]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">track_matching_queue_dict:</span> <span class="pre">typing.Dict[sleap.instance.Track</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">typing.Deque[sleap.nn.tracking.MatchedFrameInstance]]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spawned_tracks:</span> <span class="pre">typing.List[sleap.instance.Track]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_tracked_instances:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tracked_instances:</span> <span class="pre">typing.Dict[int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">typing.List[sleap.nn.tracker.components.InstanceType]]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">last_matches:</span> <span class="pre">typing.Optional[sleap.nn.tracker.components.FrameMatches]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">similarity_function:</span> <span class="pre">typing.Callable</span> <span class="pre">=</span> <span class="pre">&lt;function</span> <span class="pre">instance_iou&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">matching_function:</span> <span class="pre">typing.Callable</span> <span class="pre">=</span> <span class="pre">&lt;function</span> <span class="pre">hungarian_matching&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">candidate_maker:</span> <span class="pre">object</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L1173-L1178"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.SimpleTracker" title="Permalink to this definition">#</a></dt>
 <dd><p>A Tracker pre-configured to use simple, non-image-based candidates.</p>
 </dd></dl>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.tracking.TrackCleaner">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.tracking.</span></span><span class="sig-name descname"><span class="pre">TrackCleaner</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">instance_count</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iou_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L1395-L1420"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.TrackCleaner" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.tracking.</span></span><span class="sig-name descname"><span class="pre">TrackCleaner</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">instance_count</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">iou_threshold</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L1466-L1491"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.TrackCleaner" title="Permalink to this definition">#</a></dt>
 <dd><p>Class for merging breaks in the predicted tracks.</p>
 <p>Method:
 1. You specify how many instances there should be in each frame.
@@ -681,7 +681,7 @@ <h1>sleap.nn.tracking</h1>
 
 <dl class="py class">
 <dt class="sig sig-object py" id="sleap.nn.tracking.Tracker">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.tracking.</span></span><span class="sig-name descname"><span class="pre">Tracker</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">max_tracks:</span> <span class="pre">typing.Optional[int]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">track_window:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">similarity_function:</span> <span class="pre">typing.Optional[typing.Callable]</span> <span class="pre">=</span> <span class="pre">&lt;function</span> <span class="pre">instance_similarity&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">matching_function:</span> <span class="pre">typing.Callable</span> <span class="pre">=</span> <span class="pre">&lt;function</span> <span class="pre">greedy_matching&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">candidate_maker:</span> <span class="pre">object</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_tracking:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cleaner:</span> <span class="pre">typing.Optional[typing.Callable]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_instance_count:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pre_cull_function:</span> <span class="pre">typing.Optional[typing.Callable]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">post_connect_single_breaks:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">robust_best_instance:</span> <span class="pre">float</span> <span class="pre">=</span> <span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_new_track_points:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">track_matching_queue:</span> <span class="pre">typing.Deque[sleap.nn.tracking.MatchedFrameInstances]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">track_matching_queue_dict:</span> <span class="pre">typing.Dict[sleap.instance.Track</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">typing.Deque[sleap.nn.tracking.MatchedFrameInstance]]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spawned_tracks:</span> <span class="pre">typing.List[sleap.instance.Track]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_tracked_instances:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tracked_instances:</span> <span class="pre">typing.Dict[int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">typing.List[sleap.nn.tracker.components.InstanceType]]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">last_matches:</span> <span class="pre">typing.Optional[sleap.nn.tracker.components.FrameMatches]</span> <span class="pre">=</span> <span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L535-L1076"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.Tracker" title="Permalink to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">sleap.nn.tracking.</span></span><span class="sig-name descname"><span class="pre">Tracker</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">max_tracks:</span> <span class="pre">typing.Optional[int]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">track_window:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">similarity_function:</span> <span class="pre">typing.Optional[typing.Callable]</span> <span class="pre">=</span> <span class="pre">&lt;function</span> <span class="pre">instance_similarity&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">matching_function:</span> <span class="pre">typing.Callable</span> <span class="pre">=</span> <span class="pre">&lt;function</span> <span class="pre">greedy_matching&gt;</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">candidate_maker:</span> <span class="pre">object</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_tracking:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cleaner:</span> <span class="pre">typing.Optional[typing.Callable]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_instance_count:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pre_cull_function:</span> <span class="pre">typing.Optional[typing.Callable]</span> <span class="pre">=</span> <span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">post_connect_single_breaks:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">robust_best_instance:</span> <span class="pre">float</span> <span class="pre">=</span> <span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_new_track_points:</span> <span class="pre">int</span> <span class="pre">=</span> <span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">track_matching_queue:</span> <span class="pre">typing.Deque[sleap.nn.tracking.MatchedFrameInstances]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">track_matching_queue_dict:</span> <span class="pre">typing.Dict[sleap.instance.Track</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">typing.Deque[sleap.nn.tracking.MatchedFrameInstance]]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spawned_tracks:</span> <span class="pre">typing.List[sleap.instance.Track]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_tracked_instances:</span> <span class="pre">bool</span> <span class="pre">=</span> <span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tracked_instances:</span> <span class="pre">typing.Dict[int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">typing.List[sleap.nn.tracker.components.InstanceType]]</span> <span class="pre">=</span> <span class="pre">NOTHING</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">last_matches:</span> <span class="pre">typing.Optional[sleap.nn.tracker.components.FrameMatches]</span> <span class="pre">=</span> <span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L539-L1147"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.Tracker" title="Permalink to this definition">#</a></dt>
 <dd><p>Instance pose tracker.</p>
 <p>Use by instantiated with the desired parameters and then calling the
 <a class="reference internal" href="#sleap.nn.tracking.Tracker.track" title="sleap.nn.tracking.Tracker.track"><code class="xref py py-obj docutils literal notranslate"><span class="pre">track</span></code></a> method for each frame.</p>
@@ -785,13 +785,13 @@ <h1>sleap.nn.tracking</h1>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.tracking.Tracker.final_pass">
-<span class="sig-name descname"><span class="pre">final_pass</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">frames</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sleap.instance.html#sleap.instance.LabeledFrame" title="sleap.instance.LabeledFrame"><span class="pre">sleap.instance.LabeledFrame</span></a><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L790-L802"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.Tracker.final_pass" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">final_pass</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">frames</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sleap.instance.html#sleap.instance.LabeledFrame" title="sleap.instance.LabeledFrame"><span class="pre">sleap.instance.LabeledFrame</span></a><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L806-L818"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.Tracker.final_pass" title="Permalink to this definition">#</a></dt>
 <dd><p>Called after tracking has run on all frames to do any post-processing.</p>
 </dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="sleap.nn.tracking.Tracker.track">
-<span class="sig-name descname"><span class="pre">track</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">untracked_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.tracker.components.InstanceType</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">img</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.tracker.components.InstanceType</span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L627-L748"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.Tracker.track" title="Permalink to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">track</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">untracked_instances</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.tracker.components.InstanceType</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">img</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">numpy.ndarray</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">sleap.nn.tracker.components.InstanceType</span><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L639-L763"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.Tracker.track" title="Permalink to this definition">#</a></dt>
 <dd><p>Performs a single step of tracking.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
@@ -817,7 +817,7 @@ <h1>sleap.nn.tracking</h1>
 
 <dl class="py function">
 <dt class="sig sig-object py" id="sleap.nn.tracking.run_tracker">
-<span class="sig-prename descclassname"><span class="pre">sleap.nn.tracking.</span></span><span class="sig-name descname"><span class="pre">run_tracker</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">frames</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sleap.instance.html#sleap.instance.LabeledFrame" title="sleap.instance.LabeledFrame"><span class="pre">sleap.instance.LabeledFrame</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tracker</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="#sleap.nn.tracking.BaseTracker" title="sleap.nn.tracking.BaseTracker"><span class="pre">sleap.nn.tracking.BaseTracker</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sleap.instance.html#sleap.instance.LabeledFrame" title="sleap.instance.LabeledFrame"><span class="pre">sleap.instance.LabeledFrame</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L1423-L1460"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.run_tracker" title="Permalink to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">sleap.nn.tracking.</span></span><span class="sig-name descname"><span class="pre">run_tracker</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">frames</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sleap.instance.html#sleap.instance.LabeledFrame" title="sleap.instance.LabeledFrame"><span class="pre">sleap.instance.LabeledFrame</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tracker</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="#sleap.nn.tracking.BaseTracker" title="sleap.nn.tracking.BaseTracker"><span class="pre">sleap.nn.tracking.BaseTracker</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="sleap.instance.html#sleap.instance.LabeledFrame" title="sleap.instance.LabeledFrame"><span class="pre">sleap.instance.LabeledFrame</span></a><span class="p"><span class="pre">]</span></span></span></span><a class="reference external" href="https://github.com/talmolab/sleap/blob/v1.4.1a2/sleap/nn/tracking.py#L1494-L1531"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#sleap.nn.tracking.run_tracker" title="Permalink to this definition">#</a></dt>
 <dd><p>Run a tracker on a set of labeled frames.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
diff --git a/develop/genindex.html b/develop/genindex.html
index 0bc8fccfe..f69436e6b 100644
--- a/develop/genindex.html
+++ b/develop/genindex.html
@@ -1481,6 +1481,8 @@ <h2 id="E">E</h2>
 <h2 id="F">F</h2>
 <table style="width: 100%" class="indextable genindextable"><tr>
   <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="api/sleap.nn.tracker.components.html#sleap.nn.tracker.components.factory_object_keypoint_similarity">factory_object_keypoint_similarity() (in module sleap.nn.tracker.components)</a>
+</li>
       <li><a href="api/sleap.nn.architectures.resnet.html#sleap.nn.architectures.resnet.ResNet101.features_output_stride">features_output_stride (sleap.nn.architectures.resnet.ResNet101 attribute)</a>
 
       <ul>
diff --git a/develop/guides/cli.html b/develop/guides/cli.html
index 5c95acf0e..40d2b3246 100644
--- a/develop/guides/cli.html
+++ b/develop/guides/cli.html
@@ -482,7 +482,10 @@ <h2>Inference and Tracking<a class="headerlink" href="#inference-and-tracking" t
                    [data_path]
 
 positional arguments:
-  data_path             Path to data to predict on. This can be a labels (.slp) file or any supported video format.
+  data_path             Path to data to predict on. This can be one of the following: A .slp file containing labeled data; A folder containing multiple
+                        video files in supported formats; An individual video file in a supported format; A CSV file with a column of video file paths. 
+                        If more than one column is provided in the CSV file, the first will be used for the input data paths and the next column will be
+                        used as the output paths; A text file with a path to a video file on each line
 
 optional arguments:
   -h, --help            show this help message and exit
@@ -497,7 +500,7 @@ <h2>Inference and Tracking<a class="headerlink" href="#inference-and-tracking" t
                         Only run inference on unlabeled suggested frames when running on labels dataset. This is useful for generating predictions for
                         initialization during labeling.
   -o OUTPUT, --output OUTPUT
-                        The output filename to use for the predicted data. If not provided, defaults to &#39;[data_path].predictions.slp&#39;.
+                        The output filename or directory path to use for the predicted data. If not provided, defaults to &#39;[data_path].predictions.slp&#39;.
   --no-empty-frames     Clear any empty frames that did not have any detected instances before saving to output.
   --verbosity {none,rich,json}
                         Verbosity of inference progress reporting. &#39;none&#39; does not output anything during inference, &#39;rich&#39; displays an updating
diff --git a/develop/objects.inv b/develop/objects.inv
index 57aa9dc75..9234439dd 100644
Binary files a/develop/objects.inv and b/develop/objects.inv differ
diff --git a/develop/searchindex.js b/develop/searchindex.js
index a2a099efc..2327626e1 100644
--- a/develop/searchindex.js
+++ b/develop/searchindex.js
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