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update segment training (#57)

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: ayush chaurasia <ayush.chaurarsia@gmail.com>
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Laughing 2022-11-29 05:30:08 -06:00 • committed by GitHub
parent d0b0fe2592
commit 3a241e4cea
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14 changed files with 460 additions and 144 deletions
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ultralytics/yolo/data/augment.py
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@ -578,8 +578,8 @@ class Albumentations:
# TODO: add supports of segments and keypoints
if self.transform and random.random() < self.p:
new = self.transform(image=im, bboxes=bboxes, class_labels=cls) # transformed
labels["img"] = new["image"]
labels["cls"] = np.array(new["class_labels"])
labels["img"] = new["image"]
labels["cls"] = np.array(new["class_labels"])
labels["instances"].update(bboxes=bboxes)
return labels
@ -635,7 +635,7 @@ class Format:
def _format_img(self, img):
if len(img.shape) < 3:
img = np.expand_dims(img, -1)
img = np.ascontiguousarray(img.transpose(2, 0, 1))
img = np.ascontiguousarray(img.transpose(2, 0, 1)[::-1])
img = torch.from_numpy(img)
return img