# Copyright (c) OpenMMLab. All rights reserved. import asyncio from argparse import ArgumentParser import time import sys sys.path.append("/home/shanwei-luo/userdata/mmdetection") from mmdet.apis import (async_inference_detector, inference_detector, init_detector, show_result_pyplot) #python demo/image_demo.py /home/shanwei-luo/userdata/mmdetection/test_image/2-11-0-000.bmp /home/shanwei-luo/userdata/mmdetection/work_dirs/AD_pcb_test11/AD_pcb_test11.py /home/shanwei-luo/userdata/mmdetection/work_dirs/AD_pcb_test11/epoch_60.pth def parse_args(): parser = ArgumentParser() parser.add_argument('img', help='Image file') parser.add_argument('config', help='Config file') parser.add_argument('checkpoint', help='Checkpoint file') parser.add_argument( '--device', default='cuda:0', help='Device used for inference') parser.add_argument( '--score-thr', type=float, default=0.3, help='bbox score threshold') parser.add_argument( '--async-test', action='store_true', help='whether to set async options for async inference.') args = parser.parse_args() return args def main(args): # build the model from a config file and a checkpoint file model = init_detector(args.config, args.checkpoint, device=args.device) # test a single image for i in range(1): start = time.time() result = inference_detector(model, args.img) end = time.time() print(end-start) print(result) # show the results show_result_pyplot(model, args.img, result, score_thr=args.score_thr) async def async_main(args): # build the model from a config file and a checkpoint file model = init_detector(args.config, args.checkpoint, device=args.device) # test a single image tasks = asyncio.create_task(async_inference_detector(model, args.img)) result = await asyncio.gather(tasks) # show the results show_result_pyplot(model, args.img, result[0], score_thr=args.score_thr) if __name__ == '__main__': args = parse_args() if args.async_test: asyncio.run(async_main(args)) else: main(args)