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ultralytics 8.0.197 save P, R, F1 curves to metrics (#5354)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: erminkev1 <83356055+erminkev1@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Andy <39454881+yermandy@users.noreply.github.com>
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Glenn Jocher 2023-10-13 02:49:31 +02:00 • committed by GitHub
parent 7fd5dcbd86
commit 12e3eef844
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33 changed files with 337 additions and 195 deletions
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ultralytics/data/augment.py
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@ -491,7 +491,7 @@ class RandomPerspective:
border = labels.pop('mosaic_border', self.border)
self.size = img.shape[1] + border[1] * 2, img.shape[0] + border[0] * 2 # w, h
# M is affine matrix
# scale for func:`box_candidates`
# Scale for func:`box_candidates`
img, M, scale = self.affine_transform(img, border)
bboxes = self.apply_bboxes(instances.bboxes, M)
@ -894,7 +894,7 @@ class Format:
return labels
def _format_img(self, img):
"""Format the image for YOLOv5 from Numpy array to PyTorch tensor."""
"""Format the image for YOLO from Numpy array to PyTorch tensor."""
if len(img.shape) < 3:
img = np.expand_dims(img, -1)
img = np.ascontiguousarray(img.transpose(2, 0, 1)[::-1])