From 3b9afd4cd2efcfeb9699f1d9658c8509e08e58fb Mon Sep 17 00:00:00 2001 From: AlexeyAB <alexeyab84@gmail.com> Date: Sun, 15 Jan 2017 21:44:41 +0000 Subject: [PATCH] Fixed behavior if missing library cudnn.lib --- README.md | 20 ++++++++++++++++++-- 1 files changed, 18 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 404534b..ca4a1f2 100644 --- a/README.md +++ b/README.md @@ -103,9 +103,9 @@ - (right click on project) -> properties -> C/C++ -> General -> Additional Include Directories, put here: `C:\opencv_2.4.9\opencv\build\include;..\..\3rdparty\include;%(AdditionalIncludeDirectories);$(CudaToolkitIncludeDir);$(cudnn)\include` -- right click on project -> Build dependecies -> Build Customizations -> set check on CUDA 8.0 or what version you have - for example as here: http://devblogs.nvidia.com/parallelforall/wp-content/uploads/2015/01/VS2013-R-5.jpg +- (right click on project) -> Build dependecies -> Build Customizations -> set check on CUDA 8.0 or what version you have - for example as here: http://devblogs.nvidia.com/parallelforall/wp-content/uploads/2015/01/VS2013-R-5.jpg - add to project all .c & .cu files from `\src` -- (right click on project) -> properties -> Linker -> General -> Additional Library Directories, put here: +- (right click on project) -> properties -> Linker -> General -> Additional Library Directories, put here: `C:\opencv_2.4.9\opencv\build\x64\vc12\lib;$(CUDA_PATH)lib\$(PlatformName);$(cudnn)\lib\x64;%(AdditionalLibraryDirectories)` - (right click on project) -> properties -> Linker -> Input -> Additional dependecies, put here: @@ -113,6 +113,12 @@ `..\..\3rdparty\lib\x64\pthreadVC2.lib;cublas.lib;curand.lib;cudart.lib;cudnn.lib;%(AdditionalDependencies)` - (right click on project) -> properties -> C/C++ -> Preprocessor -> Preprocessor Definitions +- open file: `\src\yolo.c` and change 3 lines to your OpenCV-version - `249` (for 2.4.9), `2413` (for 2.4.13), ... : + + * `#pragma comment(lib, "opencv_core249.lib")` + * `#pragma comment(lib, "opencv_imgproc249.lib")` + * `#pragma comment(lib, "opencv_highgui249.lib")` + `OPENCV;_TIMESPEC_DEFINED;_CRT_SECURE_NO_WARNINGS;GPU;WIN32;NDEBUG;_CONSOLE;_LIB;%(PreprocessorDefinitions)` - compile to .exe (X64 & Release) and put .dll-s near with .exe: @@ -205,6 +211,16 @@ 8. Start training by using the command line: `darknet.exe detector train data/obj.data yolo-obj.cfg darknet19_448.conv.23` +9. After training is complete - get result `yolo-obj_final.weights` from path `build\darknet\x64\backup\` + + * Also you can get result earlier than all 45000 iterations, for example, usually sufficient 2000 iterations for each class(object). I.e. for 6 classes to avoid overfitting - you can stop training after 12000 iterations and use `yolo-obj_12000.weights` to detection. + +### Custom object detection: + +Example of custom object detection: `darknet.exe detector test data/obj.data yolo-obj.cfg yolo-obj_3000.weights` + +|  |  | +|---|---| ## How to mark bounded boxes of objects and create annotation files: -- Gitblit v1.10.0