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dev/v20
deepin-ocr/3rdparty/ncnn/docs/how-to-use-and-FAQ/use-ncnnoptimize-to-optimize-model.md
wangzhengyang 718c41634f feat: 切换后端至PaddleOCR-NCNN，切换工程为CMake 
1.项目后端整体迁移至PaddleOCR-NCNN算法，已通过基本的兼容性测试
2.工程改为使用CMake组织，后续为了更好地兼容第三方库，不再提供QMake工程
3.重整权利声明文件，重整代码工程，确保最小化侵权风险

Log: 切换后端至PaddleOCR-NCNN，切换工程为CMake
Change-Id: I4d5d2c5d37505a4a24b389b1a4c5d12f17bfa38c
2022-05-10 10:22:11 +08:00

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the typical usage

ncnnoptimize mobilenet.param mobilenet.bin mobilenet-opt.param mobilenet-opt.bin 65536

operator fusion

  • batchnorm - scale
  • convolution - batchnorm
  • convolutiondepthwise - batchnorm
  • deconvolution - batchnorm
  • deconvolutiondepthwise - batchnorm
  • innerproduct - batchnorm
  • convolution - relu
  • convolutiondepthwise - relu
  • deconvolution - relu
  • deconvolutiondepthwise - relu
  • innerproduct - relu

eliminate noop operator

  • innerproduct - dropout
  • flatten after global pooling

prefer better operator

  • replace convolution with innerproduct after global pooling