Compile opencv 4 with Cuda and GStreamer on windows

Compile OpenCV with Cuda is an easy task. All you need is the right HW from NVIDIA, drivers, and software. Additionally, the processed output video should be stream out from the OpenCV using the GStreamer. I am putting the GStreamer now as the standard option of my installation of OpenCV on the Windows machine. Let's go through step by step compilation of OpenCV from source, including Cuda, Gstreamer, and contribution modules. It is just a small increment to my previous tutorial that focuses just on the GStreamer setting in the Windows CMAKE project. This is a simplified version, verified on a different machine than the previous tutorials. You can found some details in this tutorial Install Opencv Gstreamer on windows step by step.

Software prerequisites

Install cuda, This is my version of network installer cuda_11.0.2_win10_network
Visual Studio 2019 community
Cmake 3.17.4
Opencv 4.4
Opencv_contrib

Opencv Compilation in windows steps by step with GStreamer

Extract or get through git opencv-4.4

Extract or get through git opencv_contrib-master

Create empty folder build_cuda

Get and install GStreamer (optional step)

Download both 1.16.2 runtime and development installer

Install both into the same directory

You will need to set up an environmental variable for runtime GStreamer to be able to open pipeline in OpenCV program. This is not required to build OpenCV with GStreamer.

Opencv Cmake setting

Open Cmake and set basic path, where the source is located and where to build the result

Tip: Use all path specified in CMake as with this / slash. (when you copy the path from explorer C:\gstreamer\1.0\x86_64 \ causing problems)

Hit configure
Set the Visual studio 2019 compiler
Set extra modules from contrib (/)

Set WITH_GSTREMER to yes
Set WITH_FFMPEG to yes
Set GStremer concrete lib location and header folder, The name of CMAKE Variables is equal to the concrete .lib file
INCLUDE_DIR refers to a directory.
HIT configure again
Set WITH_CUDA to yes
Optionally specify CUDA_TOOLKIT_ROOT_DIR (usually founded automatically)
Specify opencv_cuda modules you want to build
Hit configure
Read the messages, if cmake is red and correct the settings. Not all your combination are posible for your HW and SW environment

Check OpenCV CMAKE configuration

I am looking in the CMAKE General configuration for the following information:

FFMPEG is YES, GSTremer is YES, NVIDIA CUDA is YES, I got all I want.

General configuration for OpenCV 4.4.0 =====================================

Extra modules:

Location (extra): C:/opencv/opencv_contrib-master/opencv_contrib-master/modules

Version control (extra): unknown

Video I/O:

DC1394: NO

FFMPEG: YES (prebuilt binaries)

avcodec: YES (58.54.100)

avformat: YES (58.29.100)

avutil: YES (56.31.100)

swscale: YES (5.5.100)

avresample: YES (4.0.0)

GStreamer: YES (1.16.2)

DirectShow: YES

Media Foundation: YES

DXVA: YES

NVIDIA CUDA: YES (ver 11.0, CUFFT CUBLAS)

NVIDIA GPU arch: 35 37 50 52 60 61 70 75 80

NVIDIA PTX archs:

Configuring done

HiT generate and open project in CMAKE and jump to Visual Studio

Hit Generate in CMAKE
Hit Open Project in CMAKE

Compile OpenCV, CUDA with GStreamer in Visual Studio

Change setting of Visual Studio to Release, x64
Right-click on Project ALL_BUILD -> hit build option
This will take a lot of time since the CUDA is compiling
IF you compile the project without errors (warnings are ok)
Right-click on Project INSTALL -> hit build option

Use your custom Opencv library

Your OpenCV after successfully build of INSTALL project is located here:

Set up your first Visual Studio Project in a standard way. Your library is installed in build_cuda/install.

Headers are located under include and libs under x64. Enjoy your custom Opencv Library.

Opencv GStreamer Windows APP tutorial

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OpenCV 4.5 simple optical flow GPU tutorial cuda::FarnebackOpticalFlow