updates
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@ -73,7 +73,7 @@ class LoadWebcam: # for inference
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ret_val, img0 = self.cam.read()
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assert ret_val, 'Webcam Error'
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img_path = 'webcam_%g.jpg' % self.count
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img0 = cv2.flip(img0, 1)
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img0 = cv2.flip(img0, 1) # flip left-right
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# Padded resize
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img, _, _, _ = letterbox(img0, height=self.height)
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@ -155,7 +155,10 @@ class LoadImagesAndLabels: # for training
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# Load labels
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if os.path.isfile(label_path):
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labels0 = np.loadtxt(label_path, dtype=np.float32).reshape(-1, 5)
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# labels0 = np.loadtxt(label_path, dtype=np.float32).reshape(-1, 5) # SLOWER
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with open(label_path, 'r') as file:
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lines = file.read().splitlines()
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labels0 = np.array([x.split() for x in lines], dtype=np.float32)
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# Normalized xywh to pixel xyxy format
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labels = labels0.copy()
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