updates
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test.py
2
test.py
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@ -32,7 +32,7 @@ num_classes = int(data_config['classes'])
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model = Darknet(opt.cfg, opt.img_size)
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model = Darknet(opt.cfg, opt.img_size)
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# Load weights
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# Load weights
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weights_path = 'checkpoints/yolov3.pt'
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weights_path = 'checkpoints/yolov3.weights'
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if weights_path.endswith('.weights'): # darknet format
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if weights_path.endswith('.weights'): # darknet format
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load_weights(model, weights_path)
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load_weights(model, weights_path)
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elif weights_path.endswith('.pt'): # pytorch format
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elif weights_path.endswith('.pt'): # pytorch format
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@ -68,7 +68,7 @@ class ListDataset(): # for training
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if platform == 'darwin': # macos
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if platform == 'darwin': # macos
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self.img_files = [path.replace('\n', '').replace('/images', '/Users/glennjocher/Downloads/DATA/coco/images')
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self.img_files = [path.replace('\n', '').replace('/images', '/Users/glennjocher/Downloads/DATA/coco/images')
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for path in self.img_files]
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for path in self.img_files]
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else:
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else: # linux (gcp cloud)
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self.img_files = [path.replace('\n', '').replace('/images', '../coco/images') for path in self.img_files]
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self.img_files = [path.replace('\n', '').replace('/images', '../coco/images') for path in self.img_files]
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self.label_files = [path.replace('images', 'labels').replace('.png', '.txt').replace('.jpg', '.txt') for path in
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self.label_files = [path.replace('images', 'labels').replace('.png', '.txt').replace('.jpg', '.txt') for path in
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