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https://github.com/open-mmlab/mmdeploy.git
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0d609701df
* check in python demos * check in text detector python demo * check in roatated object python demo * check in pose python demo * ignore the output class number when testing metrics with sdk as a backend * fix object_detection * rollback segmentation_model and python/segmentor.cpp
32 lines
821 B
Python
32 lines
821 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(
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'model_path', help='the directory path of mmdeploy model')
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parser.add_argument('image_path', help='the path of an image')
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parser.add_argument(
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'--device-name', default='cpu', help='the name of device, cuda or cpu')
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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(args.model_path, args.device_name, 0)
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result = classifier([img])
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for label_id, score in result[0]:
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print(label_id, score)
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if __name__ == '__main__':
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main()
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