detect.py

if __name__ == '__main__':parser = argparse.ArgumentParser()parser.add_argument('--weights', nargs='+', type=str, default='weights/license50.pt', help='model.pt path(s)')parser.add_argument('--source', type=str, default='inference/images', help='source')  # file/folder, 0 for webcamparser.add_argument('--output', type=str, default='inference/output', help='output folder')  # output folderparser.add_argument('--img-size', type=int, default=640, help='inference size (pixels)')parser.add_argument('--conf-thres', type=float, default=0.4, help='object confidence threshold')parser.add_argument('--iou-thres', type=float, default=0.5, help='IOU threshold for NMS')parser.add_argument('--device', default='', help='cuda device, i.e. 0 or 0,1,2,3 or cpu')parser.add_argument('--view-img', action='store_true', help='display results')parser.add_argument('--save-txt', action='store_true', help='save results to *.txt')parser.add_argument('--classes', nargs='+', type=int, help='filter by class: --class 0, or --class 0 2 3')parser.add_argument('--agnostic-nms', action='store_true', help='class-agnostic NMS')parser.add_argument('--augment', action='store_true', help='augmented inference')parser.add_argument('--update', action='store_true', help='update all models')opt = parser.parse_args()# print(opt)with torch.