bounding boxes centroids -> bounding box centroids

neuroinformatics-unit · Jan 29, 2025 · bd33d96 · bd33d96
1 parent afb4105
commit bd33d96
Show file tree

Hide file tree

Showing 5 changed files with 6 additions and 6 deletions.
diff --git a/docs/source/community/mission-scope.md b/docs/source/community/mission-scope.md
@@ -28,7 +28,7 @@ generate keypoint representations from video data by detecting body parts and
 tracking them across frames. In the context of `movement`, we refer to these
 trajectories as _tracks_: we use _pose tracks_ to refer to the trajectories
 of a set of keypoints, _bounding box tracks_ to refer to the trajectories
-of bounding boxes centroids, or _motion tracks_ in the more general case.
+of bounding box centroids, or _motion tracks_ in the more general case.
 
 Our vision is to present a **consistent interface for representing motion
 tracks** along with **modular and accessible analysis tools**. We aim to

diff --git a/docs/source/user_guide/input_output.md b/docs/source/user_guide/input_output.md
@@ -4,7 +4,7 @@
 (target-formats)=
 ## Supported formats
 (target-supported-formats)=
-`movement` supports the analysis of trajectories of keypoints (_pose tracks_) and of bounding boxes centroids (_bounding box tracks_).
+`movement` supports the analysis of trajectories of keypoints (_pose tracks_) and of bounding box centroids (_bounding box tracks_).
 
 To analyse pose tracks, `movement` supports loading data from various frameworks:
 - [DeepLabCut](dlc:) (DLC)

diff --git a/docs/source/user_guide/movement_dataset.md b/docs/source/user_guide/movement_dataset.md
@@ -162,7 +162,7 @@ A `movement` poses dataset contains two **data variables**:
 
 :::{tab-item} Bounding boxes dataset
 A `movement` bounding boxes dataset contains three **data variables**:
-- `position`: the 2D locations of the bounding boxes centroids over time, with shape (`time`, `space`, `individuals`).
+- `position`: the 2D locations of the bounding box centroids over time, with shape (`time`, `space`, `individuals`).
 - `shape`: the width and height of the bounding boxes over time, with shape (`time`, `space`, `individuals`).
 - `confidence`: the confidence scores associated with each predicted bounding box, with shape (`time`, `individuals`).
 :::

diff --git a/movement/io/load_bboxes.py b/movement/io/load_bboxes.py
@@ -37,7 +37,7 @@ def from_numpy(
     ----------
     position_array : np.ndarray
         Array of shape (n_frames, n_space, n_individuals)
-        containing the tracks of the bounding boxes centroids.
+        containing the tracks of the bounding box centroids.
         It will be converted to a :class:`xarray.DataArray` object
         named "position".
     shape_array : np.ndarray
@@ -377,7 +377,7 @@ def _numpy_arrays_from_via_tracks_file(
     keys:
 
     - position_array (n_frames, n_space, n_individuals):
-        contains the trajectories of the bounding boxes centroids.
+        contains the trajectories of the bounding box centroids.
     - shape_array (n_frames, n_space, n_individuals):
         contains the shape of the bounding boxes (width and height).
     - confidence_array (n_frames, n_individuals):

diff --git a/movement/validators/datasets.py b/movement/validators/datasets.py
@@ -250,7 +250,7 @@ class ValidBboxesDataset:
     ----------
     position_array : np.ndarray
         Array of shape (n_frames, n_space, n_individuals)
-        containing the tracks of the bounding boxes centroids.
+        containing the tracks of the bounding box centroids.
     shape_array : np.ndarray
         Array of shape (n_frames, n_space, n_individuals)
         containing the shape of the bounding boxes. The shape of a bounding