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Update lib/dataset/DemoDataset.py
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lib/dataset/DemoDataset.py
CHANGED
@@ -110,7 +110,7 @@ class LoadImages: # for inference
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path = self.files[self.count]
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self.new_video(path)
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ret_val, img0 = self.cap.read()
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-
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self.frame += 1
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print('\n video %g/%g (%g/%g) %s: ' % (self.count + 1, self.nf, self.frame, self.nframes, path), end='')
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@@ -122,9 +122,11 @@ class LoadImages: # for inference
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#img0 = cv2.cvtColor(img0, cv2.COLOR_BGR2RGB)
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assert img0 is not None, 'Image Not Found ' + path
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print('image %g/%g %s: \n' % (self.count, self.nf, path), end='')
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# Padded resize
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img, ratio, pad = letterbox_for_img(img0, new_shape=self.img_size, auto=True)
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h, w = img.shape[:2]
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shapes = (h0, w0), ((h / h0, w / w0), pad)
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path = self.files[self.count]
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self.new_video(path)
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ret_val, img0 = self.cap.read()
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+
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self.frame += 1
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print('\n video %g/%g (%g/%g) %s: ' % (self.count + 1, self.nf, self.frame, self.nframes, path), end='')
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#img0 = cv2.cvtColor(img0, cv2.COLOR_BGR2RGB)
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assert img0 is not None, 'Image Not Found ' + path
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print('image %g/%g %s: \n' % (self.count, self.nf, path), end='')
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+
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# Padded resize
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h0, w0 = img0.shape[:2]
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img0 = cv2.resize(img0,(1280,720),interpolation = cv2.INTER_LINEAR)
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img, ratio, pad = letterbox_for_img(img0, new_shape=self.img_size, auto=True)
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h, w = img.shape[:2]
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shapes = (h0, w0), ((h / h0, w / w0), pad)
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