import os.path as osp
from argparse import ArgumentParser
from mmdet.apis import inference_detector, init_detector, show_result_pyplot
def main():
parser = ArgumentParser()
parser.add_argument('--img', default='demo/demo.jpg', help='Image file')
parser.add_argument(
'--config',
default='configs/ssd/ssd300_coco_npu.py',
help='Config file')
parser.add_argument(
'--checkpoint',
default='work_dirs/ssd300_coco_npu_8p/latest.pth',
help='Checkpoint file')
parser.add_argument(
'--device', default='npu:0', help='Device used for inference')
parser.add_argument(
'--score-thr', type=float, default=0.3, help='bbox score threshold')
parser.add_argument('--show', action='store_true', help='show results')
parser.add_argument(
'--show-dir',
default='show_dir',
help='directory where painted images will be saved')
args = parser.parse_args()
model = init_detector(args.config, args.checkpoint, device=args.device)
result = inference_detector(model, args.img)
if args.show_dir:
out_file = osp.join(args.show_dir, osp.basename(args.img))
else:
out_file = None
model.show_result(
args.img,
result,
show=args.show,
out_file=out_file,
score_thr=args.score_thr)
if __name__ == '__main__':
main()