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deepin-ocr/3rdparty/ncnn/docs/how-to-use-and-FAQ/ncnn-load-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 comprehensive model loading api table

load from alexnet.param alexnet.param.bin alexnet.bin
file path load_param(const char*) load_param_bin(const char*) load_model(const char*)
file descriptor load_param(FILE*) load_param_bin(FILE*) load_model(FILE*)
file memory load_param_mem(const char*) load_param(const unsigned char*) load_model(const unsigned char*)
android asset load_param(AAsset*) load_param_bin(AAsset*) load_model(AAsset*)
android asset path load_param(AAssetManager*, const char*) load_param_bin(AAssetManager*, const char*) load_model(AAssetManager*, const char*)
custom IO reader load_param(const DataReader&) load_param_bin(const DataReader&) load_model(const DataReader&)

points to note

  1. Either of the following combination shall be enough for loading model

    • alexnet.param + alexnet.bin
    • alexnet.param.bin + alexnet.bin

  2. Never modify Net opt member after loading

  3. Most loading functions return 0 if success, except loading alexnet.param.bin and alexnet.bin from file memory, which returns the bytes consumed after loading

    • int Net::load_param(const unsigned char*)
    • int Net::load_model(const unsigned char*)

  4. It is recommended to load model from Android asset directly to avoid copying them to sdcard on Android platform

  5. The custom IO reader interface can be used to implement on-the-fly model decryption and loading