[pull] master from azavea:master #446
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Allow setting some `Learner`-related params via environment variables (or other Everett config options)
Add a `predict_scene` CLI command that makes predictions on a scene specified by a `SceneConfig`
Add `XarraySourceConfig` to allow specifying an `XarraySource` from STAC Items
Co-authored-by: Adeel Hassan <[email protected]>
Co-authored-by: Adeel Hassan <[email protected]>
Co-authored-by: Adeel Hassan <[email protected]>
Co-authored-by: Adeel Hassan <[email protected]>
Co-authored-by: Adeel Hassan <[email protected]>
* update version to 0.31.0 * update changelog and add migration guide for v0.31
typing.Self is only available in python >=3.11, so this makes the codebase compatible with earlier python versions again
make it a dev dependency instead
* Makes max_windows a required argument and make all args other than scene keyword args. * Updated tutorials to reflect change to RandomWindowGeoDataset.
Bumps [jupyterlab](https://github.com/jupyterlab/jupyterlab) from 4.1.8 to 4.2.5. - [Release notes](https://github.com/jupyterlab/jupyterlab/releases) - [Changelog](https://github.com/jupyterlab/jupyterlab/blob/@jupyterlab/[email protected]/CHANGELOG.md) - [Commits](https://github.com/jupyterlab/jupyterlab/compare/@jupyterlab/[email protected]...@jupyterlab/[email protected]) --- updated-dependencies: - dependency-name: jupyterlab dependency-type: direct:development ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
For some transformations, pyproj attempts to download transformation grids from the internet for improved accuracy when Transformer.transform() is called. If it fails to connect to the internet, it silently returns (inf, inf) and silently modifies its behavior to not access the internet on subsequent calls, causing them to succeed (though possibly with a loss of accuracy). See pyproj4/pyproj#705 for details. This workaround forces an error to be raised by setting errcheck=True and ignoring the first error.
Bumps [shapely](https://github.com/shapely/shapely) from 2.0.5 to 2.0.6. - [Release notes](https://github.com/shapely/shapely/releases) - [Changelog](https://github.com/shapely/shapely/blob/main/CHANGES.txt) - [Commits](shapely/shapely@2.0.5...2.0.6) --- updated-dependencies: - dependency-name: shapely dependency-type: direct:production update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] <[email protected]>
Bumps [albumentations](https://github.com/albumentations-team/albumentations) from 1.4.13 to 1.4.21. - [Release notes](https://github.com/albumentations-team/albumentations/releases) - [Commits](albumentations-team/albumentations@1.4.13...1.4.21) --- updated-dependencies: - dependency-name: albumentations dependency-type: direct:production update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] <[email protected]>
The handling of the network error might need to change with the next release.
remove usage of Box.normalize() since that should now be unnecessary
allowing arbitrarily long lists of sliding windows (from arbitrarily large extents) to be represented
Fix args passed to rasterio.transform.from_origin() in write_bbox()
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