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https://github.com/open-mmlab/mmclassification.git
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922a31a68e
* add repmlp * refactor backbone code * add checkpoint, readme, unit tests * unchange demo * improve docstring. * update pic * refactor patch embed * refactor unit tests * fix lint * update tools * update tools * Update checkpoint path Co-authored-by: mzr1996 <mzr1996@163.com>
29 lines
924 B
Python
29 lines
924 B
Python
# Copyright (c) OpenMMLab. All rights reserved.
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from argparse import ArgumentParser
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from mmcls.apis import inference_model, init_model, show_result_pyplot
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def main():
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parser = ArgumentParser()
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parser.add_argument('img', help='Image file')
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parser.add_argument('config', help='Config file')
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parser.add_argument('checkpoint', help='Checkpoint file')
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parser.add_argument(
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'--device', default='cuda:0', help='Device used for inference')
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args = parser.parse_args()
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# build the model from a config file and a checkpoint file
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model = init_model(args.config, args.checkpoint, device=args.device)
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for i, stage in enumerate(model.backbone.stages):
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print(i, len(stage))
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print(i, stage[0])
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# test a single image
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result = inference_model(model, args.img)
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# show the results
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show_result_pyplot(model, args.img, result)
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if __name__ == '__main__':
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main()
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