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Fix DetectionRandomAffine target-size to be in row-column format #2012

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merged 4 commits into from
Jun 5, 2024
Merged

Fix DetectionRandomAffine target-size to be in row-column format #2012

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1458b07
Fix the target size to be in row-column format and work with all aspe…
cansik May 31, 2024
f2a90f0
Merge branch 'master' into hotfix/DetectionRandomAffine-fix-target-size
cansik Jun 3, 2024
26ac056
added more precise comment and unpacked values for more clarity
cansik Jun 4, 2024
9164fe4
clarified docstring in random_affine as well
cansik Jun 4, 2024
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4 changes: 2 additions & 2 deletions src/super_gradients/training/transforms/transforms.py
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Original file line number Diff line number Diff line change
Expand Up @@ -660,7 +660,7 @@ def apply_to_sample(self, sample: DetectionSample) -> DetectionSample:
targets=targets,
targets_seg=None,
crowd_targets=crowd_targets,
target_size=self.target_size or tuple(reversed(sample.image.shape[:2])),
target_size=self.target_size or tuple(sample.image.shape[:2]),
degrees=self.degrees,
translate=self.translate,
scales=self.scale,
Expand Down Expand Up @@ -1510,7 +1510,7 @@ def random_affine(

M = get_affine_matrix(img.shape[:2], target_size, degrees, translate, scales, shear)

img = cv2.warpAffine(img, M, dsize=target_size, borderValue=(border_value, border_value, border_value))
img = cv2.warpAffine(img, M, dsize=target_size[::-1], borderValue=(border_value, border_value, border_value))
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# Transform label coordinates
if len(targets) > 0:
Expand Down