mirror of
https://github.com/open-mmlab/mmdeploy.git
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2c18fbd2c8
* support-kwargs * make '__call__' as single image inference and add 'batch' API to deal with batch images inference * fix linting error and typo * fix lint
33 lines
848 B
Python
33 lines
848 B
Python
# Copyright (c) OpenMMLab. All rights reserved.
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import argparse
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import cv2
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from mmdeploy_python import Classifier
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def parse_args():
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parser = argparse.ArgumentParser(
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description='show how to use sdk python api')
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parser.add_argument('device_name', help='name of device, cuda or cpu')
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parser.add_argument(
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'model_path',
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help='path of mmdeploy SDK model dumped by model converter')
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parser.add_argument('image_path', help='path of an image')
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args = parser.parse_args()
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return args
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def main():
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args = parse_args()
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img = cv2.imread(args.image_path)
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classifier = Classifier(
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model_path=args.model_path, device_name=args.device_name, device_id=0)
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result = classifier(img)
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for label_id, score in result:
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print(label_id, score)
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if __name__ == '__main__':
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main()
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