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| if self.transform: | |
| batch_n = idx // self.bs | |
| if batch_n % 2 == 0: | |
| self.transform[1].p = 1 | |
| else: | |
| self.transform[1].p = 0 | |
| # albumentations requires bboxes to be (x,y,w,h,class_idx) | |
| augmentations = self.transform(image=img, | |
| bboxes=np.roll(labels, axis=1, shift=4) | |
| ) | |
| img = augmentations["image"] | |
| # loss fx requires bboxes to be (class_idx,x,y,w,h) | |
| labels = np.array(augmentations["bboxes"]) | |
| if len(labels): | |
| labels = np.roll(labels, axis=1, shift=1) |
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