mirror of https://github.com/AlexeyAB/darknet.git
Added DLL for CPU (without GPU) - yolo_cpp_dll_no_gpu.sln
This commit is contained in:
parent
d8bafc7284
commit
665fa11fd5
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Microsoft Visual Studio Solution File, Format Version 12.00
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# Visual Studio 14
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Project("{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}") = "yolo_cpp_dll_no_gpu", "yolo_cpp_dll_no_gpu.vcxproj", "{4CF5694F-12A5-4012-8D94-9A0915E9FEB5}"
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EndProject
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Global
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Debug|x64 = Debug|x64
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Debug|x86 = Debug|x86
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{4CF5694F-12A5-4012-8D94-9A0915E9FEB5}.Release|x64.ActiveCfg = Release|x64
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{4CF5694F-12A5-4012-8D94-9A0915E9FEB5}.Release|x64.Build.0 = Release|x64
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{4CF5694F-12A5-4012-8D94-9A0915E9FEB5}.Release|x86.ActiveCfg = Release|Win32
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@ -0,0 +1,270 @@
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||||
<ClCompile Include="..\..\src\activations.c" />
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<ClCompile Include="..\..\src\activation_layer.c" />
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@ -35,12 +35,16 @@ struct detector_gpu_t{
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YOLODLL_API Detector::Detector(std::string cfg_filename, std::string weight_filename, int gpu_id)
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{
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int old_gpu_index;
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#ifdef GPU
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cudaGetDevice(&old_gpu_index);
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#endif
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detector_gpu_ptr = std::make_shared<detector_gpu_t>();
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detector_gpu_t &detector_gpu = *reinterpret_cast<detector_gpu_t *>(detector_gpu_ptr.get());
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#ifdef GPU
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cudaSetDevice(gpu_id);
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#endif
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network &net = detector_gpu.net;
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net.gpu_index = gpu_id;
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//gpu_index = i;
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@ -66,7 +70,9 @@ YOLODLL_API Detector::Detector(std::string cfg_filename, std::string weight_file
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detector_gpu.probs = (float **)calloc(l.w*l.h*l.n, sizeof(float *));
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for (j = 0; j < l.w*l.h*l.n; ++j) detector_gpu.probs[j] = (float *)calloc(l.classes, sizeof(float));
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#ifdef GPU
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cudaSetDevice(old_gpu_index);
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#endif
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}
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@ -84,12 +90,16 @@ YOLODLL_API Detector::~Detector()
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free(detector_gpu.probs);
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int old_gpu_index;
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#ifdef GPU
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cudaGetDevice(&old_gpu_index);
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cudaSetDevice(detector_gpu.net.gpu_index);
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#endif
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free_network(detector_gpu.net);
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#ifdef GPU
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cudaSetDevice(old_gpu_index);
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#endif
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}
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@ -150,8 +160,10 @@ YOLODLL_API std::vector<bbox_t> Detector::detect(image_t img, float thresh)
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detector_gpu_t &detector_gpu = *reinterpret_cast<detector_gpu_t *>(detector_gpu_ptr.get());
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network &net = detector_gpu.net;
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int old_gpu_index;
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#ifdef GPU
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cudaGetDevice(&old_gpu_index);
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cudaSetDevice(net.gpu_index);
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#endif
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//std::cout << "net.gpu_index = " << net.gpu_index << std::endl;
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//float nms = .4;
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@ -198,7 +210,9 @@ YOLODLL_API std::vector<bbox_t> Detector::detect(image_t img, float thresh)
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if(sized.data)
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free(sized.data);
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||||
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||||
#ifdef GPU
|
||||
cudaSetDevice(old_gpu_index);
|
||||
#endif
|
||||
|
||||
return bbox_vec;
|
||||
}
|
||||
|
|
Loading…
Reference in New Issue