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Predictor support (#65)

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Laughing-q <1185102784@qq.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Ayush Chaurasia 2022-12-07 10:33:10 +05:30 • committed by GitHub
parent 479992093c
commit e6737f1207
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22 changed files with 916 additions and 48 deletions
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13
ultralytics/yolo/data/augment.py
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@ -459,7 +459,7 @@ class LetterBox:
self.stride = stride
def __call__(self, labels={}, image=None):
img = image or labels["img"]
img = labels.get("img") if image is None else image
shape = img.shape[:2] # current shape [height, width]
new_shape = labels.pop("rect_shape", self.new_shape)
if isinstance(new_shape, int):
@ -491,10 +491,13 @@ class LetterBox:
img = cv2.copyMakeBorder(img, top, bottom, left, right, cv2.BORDER_CONSTANT,
value=(114, 114, 114)) # add border
labels = self._update_labels(labels, ratio, dw, dh)
labels["img"] = img
labels["resized_shape"] = new_shape
return labels
if len(labels):
labels = self._update_labels(labels, ratio, dw, dh)
labels["img"] = img
labels["resized_shape"] = new_shape
return labels
else:
return img
def _update_labels(self, labels, ratio, padw, padh):
"""Update labels"""