Hi! I’ve started working with a Jetson AGX Orin and I’ve noticed that CUDA was not enabled. I’ve built OpenCV 4.7 from source in virtual environment with the following parameters for the cmake to make sure cuda was enabled and the python version for build would be python 3.
cmake -D CMAKE_BUILD_TYPE=RELEASE \ -D CMAKE_INSTALL_PREFIX=/usr/local \ -D WITH_TBB=ON \ -D ENABLE_FAST_MATH=1 \ -D CUDA_FAST_MATH=1 \ -D WITH_CUBLAS=1 \ -D WITH_CUDA=ON \ -D BUILD_opencv_cudacodec=OFF \ -D WITH_CUDNN=ON \ -D OPENCV_DNN_CUDA=ON \ -D WITH_V4L=ON \ -D WITH_QT=OFF \ -D WITH_OPENGL=ON \ -D WITH_GSTREAMER=ON \ -D OPENCV_GENERATE_PKGCONFIG=ON \ -D OPENCV_PC_FILE_NAME=opencv.pc \ -D OPENCV_ENABLE_NONFREE=ON \ -D OPENCV_PYTHON3_INSTALL_PATH=~/lib/python3.8/site-packages \ -D PYTHON_INCLUDE_DIR=/usr/include/python3.8 \ -D OPENCV_EXTRA_MODULES_PATH=/home/seems/opencv_contrib/modules \ -D INSTALL_PYTHON_EXAMPLES=ON \ -D INSTALL_C_EXAMPLES=OFF \ -D WITH_LIBV4L=ON \ -D CUDNN_INCLUDE_DIR=/usr/include \ -D BUILD_opencv_python3=ON \ -D HAVE_opencv_python3=ON \ -D BUILD_opencv_python2=OFF \ -D BUILD_NEW_PYTHON_SUPPORT=ON \ -D PYTHON3_EXECUTABLE=~/.virtualenvs/opencv_dnn_cuda/bin/python3 \ -D PYTHON_DEFAULT_EXECUTABLE=~/.virtualenvs/opencv_dnn_cuda/bin/python3 \ -D BUILD_TESTS=OFF \ -D BUILD_PERF_TESTS=OFF \ -D BUILD_EXAMPLES=OFF ..
At first, CUDA was enabled and the when I was printing in the virtual environment the number of CUDA enabled devices it returned 1.
After some days, I’ve noticed that although I was able to access CUDA, a yolov4 model that I was trying to run had low performance and using jtop from the terminal I saw that the GPU was not reaching more than 15% when running the model. When printing the CUDA enabled device count, it started return 0. The info on jtop shows the correct openCV version (4.7.0) with CUDA: YES
Is there something that could have caused that? Apart from rebuilding the OpenCV from source is there any other way to solve this issue?