Overview In 2019, a commit was merged that added the option to use the CUDA backend for inference in OpenCV’s DNN module, resulting in faster inference on Nvidia GPUs. If you wish to use this CUDA backend with OpenCV for Unity, it is necessary to build and set up OpenCV as a dynamic library on your own. This article will provide guidance on the process. Steps Build the OpenCV library with the OPENCV_DNN_CUDA flag enabled. Please refer to the article below for instructions on how to build OpenCV with OPENCV_DNN_CUDA enabled. https://learnopencv.com/how-to-use-opencv-dnn-module-with-nvidia-gpu-on-windows/ https://www.jamesbowley.co.uk/qmd/opencv_cuda_python_windows.html https://medium.com/geekculture/setup-opencv-dnn-module-with-cuda-backend-support-for-windows-7f1856691da3 Build with OPENCV_EXTRA_MODULES_PATH and BUILD_SHARED_LIBS enabled. In addition, it is recommended that you download and build the same revision of the source as the OpenCV git link provided in the ReadMe.pdf. OPENCV_EXTRA_MODULES_PATH:PATH=C:/Users/xxxxx/opencv_contrib/modules BUILD_SHARED_LIBS:BOOL=ON Copy the built dll files to the Plugins folder. Replace the opencvforunity.dll file in the Extra package with opencvforunity.dll in the Plugins folder. To enable the CUDA backend, change the code as follows. net.setPreferableBackend( Dnn.DNN_BACKEND_CUDA); net.setPreferableTarget( Dnn.DNN_TARGET_CUDA); Result

This is a list of implemented matrix operations that can be combined in arbitrary complex expressions (here A, B stand for matrices ( Mat ), s for a scalar ( Scalar ), alpha for a real-valued scalar ( double )): Note: In C++, the left-hand operand of compound assignment operators like “A += B” is reused, and operations such as “Core.add(A, B, A)” are performed internally. However, in C#, it is not possible to explicitly overload compound assignment operators. Instead, binary operator overloading is used implicitly, which results in a new Mat object being created and assigned to A each time an operator is used. This behavior leads to different memory management between C++ and C#.  c++OpenCVForUnity(C#)Addition, subtraction, negation: A+B, A-B, A+s, A-s, s+A, s-A, -AA + BM1 + M2Core.add (M1, M2, M_dst)A – BM1 – M2Core.subtract (M1, M2, M_dst)A + sM1 + sCore.add (M1, s, M_dst)A – sM1 – sCore.subtract (M1, s, M_dst)-A-M1Core.multiply (M1, Scalar.all (-1), M_dst)Scaling: A*alpha A/alphaA * αM1 * 3Core.multiply (M1, Scalar.all (3), M_dst)A / αM1 / 3Core.divide (M1, Scalar.all (3), M_dst)Per-element multiplication and division: A.mul(B), A/B, alpha/AA.mul(B)M1.mul(M2)M1.mul (M2)A / BM1 / M2Core.divide (M1, M2, M_dst)α / A3 / M1Core.divide (new Mat (M1.size (), M1.type (), Scalar.all (3)), M1, M_dst)Matrix multiplication: A*BA * BM1 * M2Core.gemm (M1, M2, 1, new Mat (), 0, M_dst)Comparison: A cmpop B, A cmpop alpha, alpha cmpop A, where […]