718c41634f
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
130 lines
3.8 KiB
Markdown
130 lines
3.8 KiB
Markdown
### param is too old, please regenerate
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Your model file is being the old format converted by an old caffe2ncnn tool.
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Checkout the latest ncnn code, build it and regenerate param and model binary files, and that should work.
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Make sure that your param file starts with the magic number 7767517.
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you may find more info on [use-ncnn-with-alexnet](use-ncnn-with-alexnet)
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### find_blob_index_by_name XYZ failed
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That means ncnn couldn't find the XYZ blob in the network.
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You shall call Extractor::input()/extract() by blob name instead of layer name.
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For models loaded from binary param file or external memory, you shall call Extractor::input()/extract() by the enum defined in xxx.id.h because all the visible string literals have been stripped in binary form.
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This error usually happens when the input layer is not properly converted.
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You shall upgrade caffe prototxt/caffemodel before converting it to ncnn. Following snippet type shall be ok.
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```
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layer {
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name: "data"
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type: "Input"
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top: "data"
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input_param { shape: { dim: 1 dim: 3 dim: 227 dim: 227 } }
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}
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```
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you may find more info on [use-ncnn-with-alexnet](use-ncnn-with-alexnet).
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### layer XYZ not exists or registered
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Your network contains some operations that are not implemented in ncnn.
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You may implement them as custom layer followed in [how-to-implement-custom-layer-step-by-step](how-to-implement-custom-layer-step-by-step).
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Or you could simply register them as no-op if you are sure those operations make no sense.
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```cpp
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class Noop : public ncnn::Layer {};
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DEFINE_LAYER_CREATOR(Noop)
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net.register_custom_layer("LinearRegressionOutput", Noop_layer_creator);
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net.register_custom_layer("MAERegressionOutput", Noop_layer_creator);
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```
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### fopen XYZ.param/XYZ.bin failed
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File not found or not readable. Make sure that XYZ.param/XYZ.bin is accessible.
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### network graph not ready
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You shall call Net::load_param() first, then Net::load_model().
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This error may also happens when Net::load_param() failed, but not properly handled.
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For more information about the ncnn model load api, see [ncnn-load-model](ncnn-load-model)
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### memory not 32-bit aligned at XYZ
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The pointer passed to Net::load_param() or Net::load_model() is not 32bit aligned.
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In practice, the head pointer of std::vector<unsigned char> is not guaranteed to be 32bit aligned.
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you can store your binary buffer in ncnn::Mat structure, its internal memory is aligned.
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### undefined reference to '__kmpc_XYZ_XYZ'
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use clang for building android shared library
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comment the following line in your Application.mk
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```
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NDK_TOOLCHAIN_VERSION := 4.9
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```
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### crash on android with '__kmp_abort_process'
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This usually happens if you bundle multiple shared library with openmp linked
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It is actually an issue of the android ndk https://github.com/android/ndk/issues/1028
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On old android ndk, modify the link flags as
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```
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-Wl,-Bstatic -lomp -Wl,-Bdynamic
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```
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For recent ndk >= 21
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```
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-fstatic-openmp
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```
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### dlopen failed: library "libomp.so" not found
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Newer android ndk defaults to dynamic openmp runtime
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modify the link flags as
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```
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-fstatic-openmp -fopenmp
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```
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### crash when freeing a ncnn dynamic library(*.dll/*.so) built with openMP
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for optimal performance, the openmp threadpool spin waits for about a second prior to shutting down in case more work becomes available.
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If you unload a dynamic library that's in the process of spin-waiting, it will crash in the manner you see (most of the time).
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Just set OMP_WAIT_POLICY=passive in your environment, before calling loadlibrary. or Just wait a few seconds before calling freelibrary.
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You can also use the following method to set environment variables in your code:
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for msvc++:
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```
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SetEnvironmentVariable(_T("OMP_WAIT_POLICY"), _T("passive"));
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```
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for g++:
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```
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setenv("OMP_WAIT_POLICY", "passive", 1)
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```
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reference: https://stackoverflow.com/questions/34439956/vc-crash-when-freeing-a-dll-built-with-openmp
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