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update coco.yaml
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@ -10,7 +10,7 @@
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# train and val data as 1) directory: path/images/, 2) file: path/images.txt, or 3) list: [path1/images/, path2/images/]
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train: ../coco/train2017.txt # 118287 images
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val: ../coco/val2017.txt # 5000 images
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test: ../coco/test-dev2017.txt # 20288 of 40670 images for submission to https://competitions.codalab.org/competitions/20794
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test: ../coco/test-dev2017.txt # 20288 of 40670 images, submit to https://competitions.codalab.org/competitions/20794
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# number of classes
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nc: 80
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@ -30,4 +30,4 @@ names: ['person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 't
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# with open('data/coco.yaml') as f:
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# d = yaml.load(f, Loader=yaml.FullLoader) # dict
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# for i, x in enumerate(d['names']):
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# print(i, x)
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# print(i, x)
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@ -23,4 +23,4 @@ names: ['person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 't
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'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch',
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'potted plant', 'bed', 'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone',
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'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear',
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'hair drier', 'toothbrush']
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'hair drier', 'toothbrush']
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