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[Refactor] refactor Associative Embedding codec #1603
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from .post_processing import gaussian_blur | ||
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def refine_keypoints(keypoints: np.ndarray, |
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Just as a reminder, processing methods like these should be given in the documentation afterwards to facilitate user learning
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These functions will be automatically included in the apis
section of the documentation, with their signatures and docstrings showed on the page. Do you think we need extra documents for them?
* add associative embedding codec * refactor decoding [wip] * refactor decoding process * add associative embedding codec * refactor decoding refinements * add missing keypoint complement and unit test * support dynamic input_size in decoding * add unit test for decoding with dynamic size
* add associative embedding codec * refactor decoding [wip] * refactor decoding process * add associative embedding codec * refactor decoding refinements * add missing keypoint complement and unit test * support dynamic input_size in decoding * add unit test for decoding with dynamic size
* add associative embedding codec * refactor decoding [wip] * refactor decoding process * add associative embedding codec * refactor decoding refinements * add missing keypoint complement and unit test * support dynamic input_size in decoding * add unit test for decoding with dynamic size
* add associative embedding codec * refactor decoding [wip] * refactor decoding process * add associative embedding codec * refactor decoding refinements * add missing keypoint complement and unit test * support dynamic input_size in decoding * add unit test for decoding with dynamic size
Motivation
Add codecs for Associative Embedding.
Modification
BC-breaking (Optional)
Use cases (Optional)
Checklist
Before PR:
After PR: