Jetson TX1 install Opencv3
https://jkjung-avt.github.io/opencv3-on-tx2/
注意:在编译的时候会遇到内存空间不足的情况,可以插入U盘,将程序拷贝到U盘内编译,然后安装到Jetson上。U盘格式化采用NTFS,其他格式可能无法识别。
Installation Steps
I’d start by cleaning up older opencv packages and installing necessary dependencies for building opencv.
Regarding the python matplotlibrc modifications below, refer to this StackOverflow thread for more details.
### Remove all old opencv stuffs installed by JetPack (or OpenCV4Tegra)
$ sudo apt-get purge libopencv*
### I prefer using newer version of numpy (installed with pip), so
### I'd remove this python-numpy apt package as well
$ sudo apt-get purge python-numpy
### Remove other unused apt packages
$ sudo apt autoremove
### Upgrade all installed apt packages to the latest versions (optional)
$ sudo apt-get update
$ sudo apt-get dist-upgrade
### Update gcc apt package to the latest version (highly recommended)
$ sudo apt-get install --only-upgrade g++-5 cpp-5 gcc-5
### Install dependencies based on the Jetson Installing OpenCV Guide
$ sudo apt-get install build-essential make cmake cmake-curses-gui \
g++ libavformat-dev libavutil-dev \
libswscale-dev libv4l-dev libeigen3-dev \
libglew-dev libgtk2.0-dev
### Install dependencies for gstreamer stuffs
$ sudo apt-get install libdc1394-22-dev libxine2-dev \
libgstreamer1.0-dev \
libgstreamer-plugins-base1.0-dev
### Install additional dependencies according to the pyimageresearch
### article
$ sudo apt-get install libjpeg8-dev libjpeg-turbo8-dev libtiff5-dev \
libjasper-dev libpng12-dev libavcodec-dev
$ sudo apt-get install libxvidcore-dev libx264-dev libgtk-3-dev \
libatlas-base-dev gfortran
$ sudo apt-get install libopenblas-dev liblapack-dev liblapacke-dev
### Install Qt5 dependencies
$ sudo apt-get install qt5-default
### Install dependencies for python3
$ sudo apt-get install python3-dev python3-pip python3-tk
$ sudo pip3 install numpy
$ sudo pip3 install matplotlib
### Modify matplotlibrc (line #41) as 'backend : TkAgg'
$ sudo vim /usr/local/lib/python3.5/dist-packages/matplotlib/mpl-data/matplotlibrc
### Also install dependencies for python2
### Note that I install numpy with pip, so that I'd be using a newer
### version of numpy than the apt-get package
$ sudo apt-get install python-dev python-pip python-tk
$ sudo pip2 install numpy
$ sudo pip2 install matplotlib
### Modify matplotlibrc (line #41) as 'backend : TkAgg'
$ sudo vim /usr/local/lib/python2.7/dist-packages/matplotlib/mpl-data/matplotlibrc
Before downloading and building opencv-3.4.0, I’d first do some modifications according to this post, in order to fix OpenGL related compilation problems . More specifically, I’d modify /usr/local/cuda/include/cuda_gl_interop.h and fix the symbolic link of libGL.so.
$ sudo vim /usr/local/cuda/include/cuda_gl_interop.h
$ cd /usr/lib/aarch64-linux-gnu/
$ sudo ln -sf tegra/libGL.so libGL.so
Here’s how the relevant lines (line #62~68) of cuda_gl_interop.h look like after the modification.
//#if defined(__arm__) || defined(__aarch64__)
//#ifndef GL_VERSION
//#error Please include the appropriate gl headers before including cuda_gl_interop.h
//#endif
//#else
#include <GL/gl.h>
//#endif
Next, download opencv-3.4.0 source code, cmake and compile. Note that opencv_contrib modules (cnn/dnn stuffs) would cause problem on pycaffe, so after some experiments I decided not to include those modules at all.
### Download opencv-3.4.0 source code
$ mkdir -p ~/src
$ cd ~/src
$ wget https://github.com/opencv/opencv/archive/3.4.0.zip \
-O opencv-3.4.0.zip
$ unzip opencv-3.4.0.zip
### Build opencv (CUDA_ARCH_BIN="6.2" for TX2, or "5.3" for TX1)
$ cd ~/src/opencv-3.4.0
$ mkdir build
$ cd build
$ cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local \
-D WITH_CUDA=ON -D CUDA_ARCH_BIN="6.2" -D CUDA_ARCH_PTX="" \
-D WITH_CUBLAS=ON -D ENABLE_FAST_MATH=ON -D CUDA_FAST_MATH=ON \
-D ENABLE_NEON=ON -D WITH_LIBV4L=ON -D BUILD_TESTS=OFF \
-D BUILD_PERF_TESTS=OFF -D BUILD_EXAMPLES=OFF \
-D WITH_QT=ON -D WITH_OPENGL=ON ..
$ make -j4
$ sudo make install
Just for reference, here’s the resulting opencv-3.4.0 cmake configuration for my Jetson TX2 system.
-- General configuration for OpenCV 3.4.0 =====================================
-- Version control: unknown
--
-- Platform:
-- Timestamp: 2018-01-29T07:58:45Z
-- Host: Linux 4.4.38-tegra aarch64
-- CMake: 3.5.1
-- CMake generator: Unix Makefiles
-- CMake build tool: /usr/bin/make
-- Configuration: RELEASE
--
-- CPU/HW features:
-- Baseline: NEON FP16
-- required: NEON
-- disabled: VFPV3
--
-- C/C++:
-- Built as dynamic libs?: YES
-- C++ Compiler: /usr/bin/c++ (ver 5.4.0)
-- C++ flags (Release): -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -Wuninitialized -Winit-self -Wno-narrowing -Wno-delete-non-virtual-dtor -Wno-comment -fdiagnostics-show-option -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -fvisibility=hidden -fvisibility-inlines-hidden -O3 -DNDEBUG -DNDEBUG
-- C++ flags (Debug): -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wundef -Winit-self -Wpointer-arith -Wshadow -Wsign-promo -Wuninitialized -Winit-self -Wno-narrowing -Wno-delete-non-virtual-dtor -Wno-comment -fdiagnostics-show-option -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -fvisibility=hidden -fvisibility-inlines-hidden -g -O0 -DDEBUG -D_DEBUG
-- C Compiler: /usr/bin/cc
-- C flags (Release): -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wuninitialized -Winit-self -Wno-narrowing -Wno-comment -fdiagnostics-show-option -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -fvisibility=hidden -O3 -DNDEBUG -DNDEBUG
-- C flags (Debug): -fsigned-char -W -Wall -Werror=return-type -Werror=non-virtual-dtor -Werror=address -Werror=sequence-point -Wformat -Werror=format-security -Wmissing-declarations -Wmissing-prototypes -Wstrict-prototypes -Wundef -Winit-self -Wpointer-arith -Wshadow -Wuninitialized -Winit-self -Wno-narrowing -Wno-comment -fdiagnostics-show-option -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -fvisibility=hidden -g -O0 -DDEBUG -D_DEBUG
-- Linker flags (Release):
-- Linker flags (Debug):
-- ccache: NO
-- Precompiled headers: YES
-- Extra dependencies: dl m pthread rt /usr/lib/aarch64-linux-gnu/libGLU.so /usr/lib/aarch64-linux-gnu/libGL.so cudart nppc nppial nppicc nppicom nppidei nppif nppig nppim nppist nppisu nppitc npps cublas cufft -L/usr/local/cuda-8.0/lib64
-- 3rdparty dependencies:
--
-- OpenCV modules:
-- To be built: calib3d core cudaarithm cudabgsegm cudacodec cudafeatures2d cudafilters cudaimgproc cudalegacy cudaobjdetect cudaoptflow cudastereo cudawarping cudev dnn features2d flann highgui imgcodecs imgproc ml objdetect photo python2 python3 python_bindings_generator shape stitching superres video videoio videostab
-- Disabled: js world
-- Disabled by dependency: -
-- Unavailable: java ts viz
-- Applications: apps
-- Documentation: NO
-- Non-free algorithms: NO
--
-- GUI:
-- QT: YES (ver 5.5.1)
-- QT OpenGL support: YES (Qt5::OpenGL 5.5.1)
-- GTK+: NO
-- OpenGL support: YES (/usr/lib/aarch64-linux-gnu/libGLU.so /usr/lib/aarch64-linux-gnu/libGL.so)
-- VTK support: NO
--
-- Media I/O:
-- ZLib: /usr/lib/aarch64-linux-gnu/libz.so (ver 1.2.8)
-- JPEG: /usr/lib/aarch64-linux-gnu/libjpeg.so (ver )
-- WEBP: build (ver encoder: 0x020e)
-- PNG: /usr/lib/aarch64-linux-gnu/libpng.so (ver 1.2.54)
-- TIFF: /usr/lib/aarch64-linux-gnu/libtiff.so (ver 42 / 4.0.6)
-- JPEG 2000: /usr/lib/aarch64-linux-gnu/libjasper.so (ver 1.900.1)
-- OpenEXR: build (ver 1.7.1)
--
-- Video I/O:
-- DC1394: YES (ver 2.2.4)
-- FFMPEG: YES
-- avcodec: YES (ver 56.60.100)
-- avformat: YES (ver 56.40.101)
-- avutil: YES (ver 54.31.100)
-- swscale: YES (ver 3.1.101)
-- avresample: NO
-- GStreamer:
-- base: YES (ver 1.8.3)
-- video: YES (ver 1.8.3)
-- app: YES (ver 1.8.3)
-- riff: YES (ver 1.8.3)
-- pbutils: YES (ver 1.8.3)
-- libv4l/libv4l2: 1.10.0 / 1.10.0
-- v4l/v4l2: linux/videodev2.h
-- gPhoto2: NO
--
-- Parallel framework: pthreads
--
-- Trace: YES (built-in)
--
-- Other third-party libraries:
-- Lapack: NO
-- Eigen: YES (ver 3.2.92)
-- Custom HAL: YES (carotene (ver 0.0.1))
--
-- NVIDIA CUDA: YES (ver 8.0, CUFFT CUBLAS FAST_MATH)
-- NVIDIA GPU arch: 62
-- NVIDIA PTX archs:
--
-- OpenCL: YES (no extra features)
-- Include path: /home/nvidia/src/opencv-3.4.0/3rdparty/include/opencl/1.2
-- Link libraries: Dynamic load
--
-- Python 2:
-- Interpreter: /usr/bin/python2.7 (ver 2.7.12)
-- Libraries: /usr/lib/aarch64-linux-gnu/libpython2.7.so (ver 2.7.12)
-- numpy: /usr/local/lib/python2.7/dist-packages/numpy/core/include (ver 1.14.0)
-- packages path: lib/python2.7/dist-packages
--
-- Python 3:
-- Interpreter: /usr/bin/python3 (ver 3.5.2)
-- Libraries: /usr/lib/aarch64-linux-gnu/libpython3.5m.so (ver 3.5.2)
-- numpy: /usr/local/lib/python3.5/dist-packages/numpy/core/include (ver 1.14.0)
-- packages path: lib/python3.5/dist-packages
--
-- Python (for build): /usr/bin/python2.7
--
-- Java:
-- ant: NO
-- JNI: NO
-- Java wrappers: NO
-- Java tests: NO
--
-- Matlab: NO
--
-- Install to: /usr/local
-- -----------------------------------------------------------------
--
-- Configuring done
-- Generating done
-- Build files have been written to: /home/nvidia/src/opencv-3.4.0/build
To verify the installation:
$ ls /usr/local/lib/python3.5/dist-packages/cv2.*
/usr/local/lib/python3.5/dist-packages/cv2.cpython-35m-aarch64-linux-gnu.so
$ ls /usr/local/lib/python2.7/dist-packages/cv2.*
/use/local/lib/python2.7/dist-packages/cv2.so
$ python3 -c 'import cv2; print(cv2.__version__)'
3.4.0
$ python2 -c 'import cv2; print(cv2.__version__)'
3.4.0
Bonus:
Jetson TX1 install Opencv3的更多相关文章
- Jetson TX1 install py-faster-rcnn
Install py-faster-rcnn following the official version https://github.com/rbgirshick/py-faster-rcnn ...
- Jetson TX1使用usb camera采集图像 (1)
使用python实现 https://jkjung-avt.github.io/tx2-camera-with-python/ How to Capture and Display Camera Vi ...
- [转]Jetson TX1 开发教程(1)配置与刷机
开箱 Jetson TX1是英伟达公司新出的GPU开发板,拥有世界上先进的嵌入式视觉计算系统,提供高性能.新技术和极佳的开发平台.在进行配置和刷机工作之前,先来一张全家福: 可以看到,Jetson T ...
- Jetson TX1刷机
刷机流程 https://blog.csdn.net/c406495762/article/details/70786700 注意:教程中包含两步,首先安装Ubuntu系统,然后重启安装程序,安装其他 ...
- Jetson tx1 安装ROS
注意,是 Jetson TX1 系统版本: R24.2 参考链接: https://www.youtube.com/watch?v=-So2P0kRYsk
- 【并行计算-CUDA开发】 NVIDIA Jetson TX1
概述 NVIDIA Jetson TX1是计算机视觉系统的SoM(system-on-module)解决方案.它组合了最新的NVIDIAMaxwell GPU架构,其具有ARM Cortex-A57 ...
- 基于英伟达Jetson TX1的GPU处理平台
基于英伟达Jetson TX1 GPU的HDMI图像输入的深度学习套件 [309] 本平台基于英伟达的Jetson TX1视觉计算的全功能开发板,配合本公司研发的HDMI输入图像采集板:Jetson ...
- NVIDIA Jetson™ TX1 Module
NVIDIA® Jetson TX1 是一台模块式计算机,代表了视觉计算领域近20年的研发成就,其尺寸仅有信用卡大小.Jetson TX1 基于NVIDIA Maxwell™ 架构,配有256个 NV ...
- NVIDIA Jetson™ TX1
NVIDIA® Jetson TX1 是一台模块式计算机,代表了视觉计算领域近20年的研发成就,其尺寸仅有信用卡大小.Jetson TX1 基于崭新 NVIDIA Maxwell™ 架构,配有256个 ...
随机推荐
- C++ 编程技巧笔记记录(持续更新)
C++是博大精深的语言,特性复杂得跟北京二环一样,继承乱得跟乱伦似的. 不过它仍然是我最熟悉且必须用在游戏开发上的语言,这篇文章用于挑选出一些个人觉得重要的条款/经验/技巧进行记录总结. 文章最后列出 ...
- RDIFramework.NET V3.3 Web版新增日程管理功能模块
功能描述 在RDIFramework.NET V3.3 Web版本我们新增了日程管理.基于月.周.日的日历视图,把安排到每一天的具体时间点,让每一天的时间都充分利用:甚至您也可以把个人非工作事项也安排 ...
- Git 安装配置手册
Git 安装配置手册 首先我们要了解 Git 是类似于 SVN 用来管理项目的 首先要先下载 Git ,这个东西相当于一个核,是该功能的核心 下载地址(<https://gitforwindow ...
- tomcat部署项目后,war包是否可刪?war包存在必要性!
在tomcat中webapps目錄上傳war包后, 对war解压时候. war不能在tomcat运行时删除,否则会删除自动解压的工程. 你可以停止tomcat后删除war. 当你重新部署的时候,如果 ...
- spring2.0 mybatis JDBC配置
mybatis 搭建 <!--连接池--> <dependency> <groupId>org.springframework.boot</groupId&g ...
- Saslauthd服务实现SMTP发信认证
一.SMTP发信认证 通过sasl库中的saslauthd服务实现SMTP认证 二.部署 1.先安装postifx 略 2.生成sasl配置文件,实现使用sasl认证 vim /usr/lib64/s ...
- 关于时间的那些事--PHP、JavaScript、MySQL操作时间
PHP篇 PHP中时间操作单位是秒 一.将时间戳转为普通日期格式 //当前时间戳 time(); //当前时间格式 date("Y-m-d H:i:s",time()); //昨天 ...
- IntelliJ IDEA下的使用git
1.git简介 git是目前流行的分布式版本管理系统.它拥有两套版本库,本地库和远程库,在不进行合并和删除之类的操作时这两套版本库互不影响.也因此其近乎所有的操作都是本地执行,所以在断网的情况下任然可 ...
- HTML文档命名规则
HTML文档是展示Web前段开发工程师成果的最好表示方式,为了便于文档规范化管理,在编写HTML文档时,必须遵循HTML文件命名规则. HTML文档命名规则如下: (1)文档的扩展名为htm或者htm ...
- 我带着小程序和Springboot后端终于战胜了WebSocket!!!胜利( •̀ ω •́ )y
WebSocket项目笔记 1. What is WebSocket? (以下内容来源于百度百科) WebSocket是一种在单个TCP连接上进行全双工通信的协议 WebSocket使得客户端和服务器 ...