mmpretrain/demo/image_demo.py

32 lines
1002 B
Python

# Copyright (c) OpenMMLab. All rights reserved.
from argparse import ArgumentParser
from mmengine.fileio import dump
from rich import print_json
from mmcls.apis import inference_model, init_model
from mmcls.utils import register_all_modules
def main():
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')
args = parser.parse_args()
# register all modules and set mmcls as the default scope.
register_all_modules()
# build the model from a config file and a checkpoint file
model = init_model(args.config, args.checkpoint, device=args.device)
# test a single image
result = inference_model(model, args.img)
# show the results
print_json(dump(result, file_format='json', indent=4))
if __name__ == '__main__':
main()