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https://github.com/PaddlePaddle/FastDeploy.git
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f2619b0546
* Refactor js submodule * Remove change-log * Update ocr module * Update ocr-detection module * Update ocr-detection module * Remove change-log
54 lines
1.8 KiB
Python
54 lines
1.8 KiB
Python
#!/usr/bin/env python
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# -*- coding: UTF-8 -*-
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import collections
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import argparse
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import traceback
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from paddlejslite import lite
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import pkg_resources
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from packaging import version
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lite_version = pkg_resources.get_distribution("paddlelite").version
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def optimizeModel(inputDir, modelPath, paramPath, outputDir):
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""" 使用opt python接口执行模型优化 """
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opt = lite.Opt()
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if inputDir:
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# 分片参数文件优化
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opt.set_model_dir(inputDir)
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else:
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# 合并参数文件优化
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opt.set_model_file(modelPath)
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opt.set_param_file(paramPath)
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opt.set_valid_places("arm")
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opt.set_model_type("protobuf")
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opt.set_optimize_out(outputDir)
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opt.run()
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def main():
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try:
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p = argparse.ArgumentParser('模型优化参数解析')
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p.add_argument('--inputDir', help='fluid模型所在目录。当且仅当使用分片参数文件时使用该参数。将过滤modelPath和paramsPath参数，且模型文件名必须为`__model__`', required=False)
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p.add_argument('--modelPath', help='fluid模型文件所在路径，使用合并参数文件时使用该参数', required=False)
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p.add_argument('--paramPath', help='fluid参数文件所在路径，使用合并参数文件时使用该参数', required=False)
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p.add_argument("--outputDir", help='优化后fluid模型目录，必要参数', required=True)
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args = p.parse_args()
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inputDir = args.inputDir
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modelPath = args.modelPath
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paramPath = args.paramPath
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outputDir = args.outputDir
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optimizeModel(inputDir, modelPath, paramPath, outputDir)
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except Exception as identifier:
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print("\033[31mA fetal error occured. Failed to optimize model.\033[0m")
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print(traceback.format_exc())
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pass
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if __name__ == "__main__":
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main()
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