Detection() device bug fix (#1455)
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@ -183,7 +183,8 @@ class Detections:
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self.names = names # class names
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self.xyxy = pred # xyxy pixels
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self.xywh = [xyxy2xywh(x) for x in pred] # xywh pixels
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gn = [torch.Tensor([*[im.shape[i] for i in [1, 0, 1, 0]], 1., 1.]) for im in imgs] # normalization gains
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d = pred[0].device # device
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gn = [torch.tensor([*[im.shape[i] for i in [1, 0, 1, 0]], 1., 1.], device=d) for im in imgs] # normalizations
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self.xyxyn = [x / g for x, g in zip(self.xyxy, gn)] # xyxy normalized
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self.xywhn = [x / g for x, g in zip(self.xywh, gn)] # xywh normalized
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self.n = len(self.pred)
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