Created
December 28, 2022 11:12
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| if self.ultralytics_loss: | |
| labels = torch.from_numpy(labels) | |
| out_bboxes = torch.zeros((labels.shape[0], 6)) | |
| if len(labels): | |
| out_bboxes[..., 1:] = labels | |
| img = img.transpose((2, 0, 1)) | |
| img = np.ascontiguousarray(img) | |
| return torch.from_numpy(img), out_bboxes if self.ultralytics_loss else labels |
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