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test.py
2
test.py
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@ -174,7 +174,7 @@ if __name__ == '__main__':
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parser.add_argument('--iou-thres', type=float, default=0.5, help='iou threshold required to qualify as detected')
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parser.add_argument('--iou-thres', type=float, default=0.5, help='iou threshold required to qualify as detected')
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parser.add_argument('--conf-thres', type=float, default=0.3, help='object confidence threshold')
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parser.add_argument('--conf-thres', type=float, default=0.3, help='object confidence threshold')
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parser.add_argument('--nms-thres', type=float, default=0.45, help='iou threshold for non-maximum suppression')
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parser.add_argument('--nms-thres', type=float, default=0.45, help='iou threshold for non-maximum suppression')
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parser.add_argument('--coco_map', action='store_true', help='use pycocotools mAP')
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parser.add_argument('--coco-map', action='store_true', help='use pycocotools mAP')
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parser.add_argument('--img-size', type=int, default=416, help='size of each image dimension')
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parser.add_argument('--img-size', type=int, default=416, help='size of each image dimension')
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opt = parser.parse_args()
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opt = parser.parse_args()
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print(opt, end='\n\n')
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print(opt, end='\n\n')
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@ -7,7 +7,7 @@ bash yolov3/data/get_coco_dataset.sh
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# Start
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# Start
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sudo rm -rf yolov3 && git clone https://github.com/ultralytics/yolov3
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sudo rm -rf yolov3 && git clone https://github.com/ultralytics/yolov3
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sudo rm -rf cocoapi && git clone https://github.com/cocodataset/cocoapi && cd cocoapi/PythonAPI && make && cd ../.. && cp -r cocoapi/PythonAPI/pycocotools yolov3
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sudo rm -rf cocoapi && git clone https://github.com/cocodataset/cocoapi && cd cocoapi/PythonAPI && make && cd ../.. && cp -r cocoapi/PythonAPI/pycocotools yolov3
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cd yolov3 && python3 train.py
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cd yolov3 && python3 test.py --coco-map
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# Resume
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# Resume
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python3 train.py --resume
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python3 train.py --resume
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