KeypointAwareCrop: uniform sampling when no keypoints are present#2801
Merged
MMathisLab merged 2 commits intopytorch_dlcfrom Dec 3, 2024
Merged
KeypointAwareCrop: uniform sampling when no keypoints are present#2801MMathisLab merged 2 commits intopytorch_dlcfrom
KeypointAwareCrop: uniform sampling when no keypoints are present#2801MMathisLab merged 2 commits intopytorch_dlcfrom
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Addresses issue #2769. When all keypoints labeled in an image are augmented outside of the image (e.g. they are close to the edge and a rotation is applied), no keypoints are left. Then, density-based sampling of the crop center fails as there are no keypoints to sample from.
Address a few other typos when it comes to image augmentation:
Affinetransform, thetranslationparameter must be given as(-translation, translation)0s (not visible) and not-1(not defined)