Improving GSTreamer and OpenCV performance in Nvidia Jetson TX2

[DaneLLL]

Hi,
The suggestion it to run a gstreamer pipeline and call NvBuffer APIs to get cv::cuda::GpuMat

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…

You can also get cv::Mat. Please refer to

NVBuffer (FD) to opencv Mat

Hi, We don’t observe the issue by applying following patch to 13_multi_camera: diff --git a/multimedia_api/ll_samples/samples/13_multi_camera/main.cpp b/multimedia_api/ll_samples/samples/13_multi_camera/main.cpp index 49a9ab8..0613f0b 100644 --- a/multimedia_api/ll_samples/samples/13_multi_camera/main.cpp +++ b/multimedia_api/ll_samples/samples/13_multi_camera/main.cpp @@ -39,6 +39,8 @@ #include <stdio.h> #include <stdlib.h> +#include <opencv2/opencv.hpp> + using namespace Argus; using n…