Build and install OpenCV for the NVIDIA Jetson TX2
These scripts build OpenCV version 3.4 for the NVIDIA Jetson TX2 Development Kit.
OpenCV is a rich environment which can be configured in many different ways. You should configure OpenCV for your needs, by modifying the build file "buildOpenCV.sh". Note that selecting different options in OpenCV may also have additional library requirements which are not included in these scripts. Please read the notes below for other important points before installing.
To run the the build file:
$ ./buildOpenCV.sh
This will build and install OpenCV is the /usr/local directory.
The folder ~/opencv and ~/opencv_extras contain the source, build and extra data files. If you wish to remove them after installation, a convenience script is provided:
$ ./removeOpenCVSources.sh
There may be issues if different version of OpenCV are installed. JetPack normally installs OpenCV in the /usr folder. You will need to consider if this is appropriate for your application. It is important to realize that many packages may rely on OpenCV. The standard installation by JetPack places the OpenCV libraries in the /usr directory.
You may consider removing OpenCV installed by JetPack before performing this script installation:
$ sudo apt-get purge libopencv*
With this script release, the script now installs OpenCV in /usr/local. Earlier versions of this script installed in /usr. You may have to set your include and libraries and/or PYTHONPATH to point to the new version. See the Examples folder. Alternatively, you may want to change the script to install into the /usr directory.
The Jetson is an aarch64 machine, which means that the OpenCV configuration variable ENABLE_NEON is ignored. The compiler includes NEON support for all machines with aarch64 architecture.
These scripts rely on OpenCV finding the correct CUDA version, instead of setting it manually.
Most of this information is derived from:
http://docs.opencv.org/3.2.0/d6/d15/tutorial_building_tegra_cuda.html
May 2018
- L4T 28.2
- OpenCV 3.4
- OpenGL support added to build script
- Fast Math support (cuBLAS) added
September 2017
- L4T 28.1
- OpenCV 3.3
- GStreamer support added to build script
- GStreamer OpenCV examples using the Jetson onboard camera
April 2017
- Initial Release
- L4T 27.1
- OpenCV 3.2
MIT License
Copyright (c) 2017-2018 Jetsonhacks
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
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