Nvvidconv colorspace conversion difficulties

[DaneLLL]

Hi,
There are samples demonstrating gstreamer + cv::gpuMat and jetson_multimedia_api + cv::cpuMat. Please take a look:

Nano not using GPU with gstreamer/python. Slow FPS, dropped frames

Hi, Attached a sample for reference. Please follow the steps: 0. Install CUDA, tegra_multimedia_api samples through sdkmanager Down the script [s]https://github.com/AastaNV/JEP/blob/master/script/install_opencv4.1.1_Jetson.sh[/s] JEP/install_opencv4.5.0_Jetson.sh at master · AastaNV/JEP · GitHub Add the option and execute the script to build OCV4.1.1 -D OPENCV_GENERATE_PKGCONFIG=YES Execute $ sudo ldconfig -v Build and run the sample ~/gst_cv_gpumat$ CUDA_VER=10.0 make Compiling: gs…

LibArgus EGLStream to nvivafilter

Attach a sample to demonstrate tegra_multimedia_api + OpenCV GpuMat. 1 Do not install OpenCV 3.3.1 via Jetpack. It is installed by default. Please un-check OpenCV 3.3.1 2 Jetpack will ban installing the sample package if you un-check OpenCV, so please download it from https://developer.nvidia.com/embedded/dlc/multimedia-api-r2821 3 Get the script https://github.com/AastaNV/JEP/blob/master/script/install_opencv3.4.0_TX2.sh 4 Execute the script $ mkdir OpenCV $ ./install_opencv3.4.0_TX2.sh O…

LibArgus EGLStream to nvivafilter

Hi, On r32.2.1, you can add ‘-D OPENCV_GENERATE_PKGCONFIG=YES’ to the script and build OpenCV: https://github.com/AastaNV/JEP/blob/master/script/install_opencv4.1.1_Jetson.sh The patch is still valid with minor changes: +CVLDFLAGS:=`pkg-config --libs <b>opencv4</b>` +CVCCFLAGS:=`pkg-config --cflags <b>opencv4</b>`

See if you can apply it to your usecase.