updates
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@ -126,6 +126,26 @@ def xywh2xyxy(x):
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return y
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# def xywh2xyxy(box):
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# # Convert nx4 boxes from [x, y, w, h] to [x1, y1, x2, y2]
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# if isinstance(box, torch.Tensor):
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# x, y, w, h = box.t()
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# return torch.stack((x - w / 2, y - h / 2, x + w / 2, y + h / 2)).t()
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# else: # numpy
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# x, y, w, h = box.T
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# return np.stack((x - w / 2, y - h / 2, x + w / 2, y + h / 2)).T
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#
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#
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# def xyxy2xywh(box):
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# # Convert nx4 boxes from [x1, y1, x2, y2] to [x, y, w, h]
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# if isinstance(box, torch.Tensor):
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# x1, y1, x2, y2 = box.t()
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# return torch.stack(((x1 + x2) / 2, (y1 + y2) / 2, x2 - x1, y2 - y1)).t()
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# else: # numpy
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# x1, y1, x2, y2 = box.T
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# return np.stack(((x1 + x2) / 2, (y1 + y2) / 2, x2 - x1, y2 - y1)).T
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def scale_coords(img1_shape, coords, img0_shape, ratio_pad=None):
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# Rescale coords (xyxy) from img1_shape to img0_shape
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if ratio_pad is None: # calculate from img0_shape
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