34 lines
1.0 KiB
Python
34 lines
1.0 KiB
Python
# Copyright (c) OpenMMLab. All rights reserved.
|
|
from argparse import ArgumentParser
|
|
|
|
import mmcv
|
|
|
|
from mmcls.apis import inference_model, init_model, show_result_pyplot
|
|
|
|
|
|
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(
|
|
'--show',
|
|
action='store_true',
|
|
help='Whether to show the predict results by matplotlib.')
|
|
parser.add_argument(
|
|
'--device', default='cuda:0', help='Device used for inference')
|
|
args = parser.parse_args()
|
|
|
|
# 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(mmcv.dump(result, file_format='json', indent=4))
|
|
if args.show:
|
|
show_result_pyplot(model, args.img, result)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
main()
|