tx2 ubuntu1804 opencv3.4 cuda10 compile

以前使用的jectpack3.3，上次搞Isaac就装成了jetpack4.2.2，我以前编译了tx2+cuda9的opencv版本，但是直接拿到1804下不能用，由于编译器的版本不对，所以就得重新编译了

主要参考

https://github.com/jetsonhacks/buildOpenCVTX2

编译过程中会出一些错误，记录在下面

1. libGL.so的错误，脚本里面有一个建立软连接，1804不需要，所以会报错。注释掉那一行

2、/usr/bin/gcc-5 没有，那就安装一下

sudo apt-get install gcc-5

sudo apt-get install g++5

再有就是

没有libjasper

更新为清华源，

deb http://mirrors.tuna.tsinghua.edu.cn/ubuntu-ports/ xenial main multiverse restricted universe
deb http://mirrors.tuna.tsinghua.edu.cn/ubuntu-ports/ xenial-security main multiverse restricted universe
deb http://mirrors.tuna.tsinghua.edu.cn/ubuntu-ports/ xenial-updates main multiverse restricted universe
deb http://mirrors.tuna.tsinghua.edu.cn/ubuntu-ports/ xenial-backports main multiverse restricted universe
deb-src http://mirrors.tuna.tsinghua.edu.cn/ubuntu-ports/ xenial main multiverse restricted universe
deb-src http://mirrors.tuna.tsinghua.edu.cn/ubuntu-ports/ xenial-security main multiverse restricted universe
deb-src http://mirrors.tuna.tsinghua.edu.cn/ubuntu-ports/ xenial-updates main multiverse restricted universe
deb-src http://mirrors.tuna.tsinghua.edu.cn/ubuntu-ports/ xenial-backports main multiverse restricted universe

然后

sudo apt-get update

sudo apt install libjasper1 libjasper-dev

再重新编译

 fatal error: webp/decode.h: No such file or directory
 #include
sudo apt install webp libwebp-dev

 

fatal error: Python.h: No such file or directory 解决方法

cd /usr/include

重新清理一下，然后再make即可

#!/bin/bash
# License: MIT. See license file in root directory
# Copyright(c) JetsonHacks (2017-2018)

OPENCV_VERSION=3.4.5
# Jetson TX2
ARCH_BIN=6.2
# Jetson TX1
# ARCH_BIN=5.3
INSTALL_DIR=/usr/local
# Download the opencv_extras repository
# If you are installing the opencv testdata, ie
#  OPENCV_TEST_DATA_PATH=../opencv_extra/testdata
# Make sure that you set this to YES
# Value should be YES or NO
DOWNLOAD_OPENCV_EXTRAS=NO
# Source code directory
OPENCV_SOURCE_DIR=$HOME
WHEREAMI=$PWD

CLEANUP=true

function usage
{
    echo "usage: ./buildOpenCVTX1.sh [[-s sourcedir ] | [-h]]"
    echo "-s | --sourcedir   Directory in which to place the opencv sources (default $HOME)"
    echo "-i | --installdir  Directory in which to install opencv libraries (default /usr/local)"
    echo "-h | --help  This message"
}

# Iterate through command line inputs
while [ "$1" != "" ]; do
    case $1 in
        -s | --sourcedir )      shift
				OPENCV_SOURCE_DIR=$1
                                ;;
        -i | --installdir )     shift
                                INSTALL_DIR=$1
                                ;;
        -h | --help )           usage
                                exit
                                ;;
        * )                     usage
                                exit 1
    esac
    shift
done

CMAKE_INSTALL_PREFIX=$INSTALL_DIR

source scripts/jetson_variables.sh

# Print out the current configuration
echo "Build configuration: "
echo " NVIDIA Jetson $JETSON_BOARD"
echo " Operating System: $JETSON_L4T_STRING [Jetpack $JETSON_JETPACK]"
echo " Current OpenCV Installation: $JETSON_OPENCV"
echo " OpenCV binaries will be installed in: $CMAKE_INSTALL_PREFIX"
echo " OpenCV Source will be installed in: $OPENCV_SOURCE_DIR"

if [ $DOWNLOAD_OPENCV_EXTRAS == "YES" ] ; then
 echo "Also installing opencv_extras"
fi

# Repository setup
sudo apt-add-repository universe
sudo apt-get update

# Download dependencies for the desired configuration
cd $WHEREAMI
sudo apt-get install -y \
    cmake \
    libavcodec-dev \
    libavformat-dev \
    libavutil-dev \
    libeigen3-dev \
    libglew-dev \
    libgtk2.0-dev \
    libgtk-3-dev \
    libjasper-dev \
    libjpeg-dev \
    libpng12-dev \
    libpostproc-dev \
    libswscale-dev \
    libtbb-dev \
    libtiff5-dev \
    libv4l-dev \
    libxvidcore-dev \
    libx264-dev \
    qt5-default \
    zlib1g-dev \
    pkg-config

# https://devtalk.nvidia.com/default/topic/1007290/jetson-tx2/building-opencv-with-opengl-support-/post/5141945/#5141945
cd /usr/local/cuda/include
sudo patch -N cuda_gl_interop.h $WHEREAMI'/patches/OpenGLHeader.patch' 
# Clean up the OpenGL tegra libs that usually get crushed
cd /usr/lib/aarch64-linux-gnu/
#sudo ln -sf tegra/libGL.so libGL.so

# Python 2.7
sudo apt-get install -y python-dev python-numpy python-py python-pytest
# Python 3.5
sudo apt-get install -y python3-dev python3-numpy python3-py python3-pytest

# GStreamer support
sudo apt-get install -y libgstreamer1.0-dev libgstreamer-plugins-base1.0-dev 

cd $OPENCV_SOURCE_DIR
#git clone https://github.com/opencv/opencv.git
cd opencv
git checkout -b v${OPENCV_VERSION} ${OPENCV_VERSION}
if [ $OPENCV_VERSION = 3.4.1 ] ; then
  # For 3.4.1, use this commit to fix samples/gpu/CMakeLists.txt
  git merge ec0bb66
  # For 3.4.1, use this to fix C compilation issues (like in YOLO)
  git cherry-pick 549b5df
fi

if [ $DOWNLOAD_OPENCV_EXTRAS == "YES" ] ; then
 echo "Installing opencv_extras"
 # This is for the test data
 cd $OPENCV_SOURCE_DIR
 git clone https://github.com/opencv/opencv_extra.git
 cd opencv_extra
 git checkout -b v${OPENCV_VERSION} ${OPENCV_VERSION}
fi

cd $OPENCV_SOURCE_DIR/opencv
mkdir build
cd build

# Here are some options to install source examples and tests
#     -D INSTALL_TESTS=ON \
#     -D OPENCV_TEST_DATA_PATH=../opencv_extra/testdata \
#     -D INSTALL_C_EXAMPLES=ON \
#     -D INSTALL_PYTHON_EXAMPLES=ON \
# There are also switches which tell CMAKE to build the samples and tests
# Check OpenCV documentation for details

time cmake -D CMAKE_BUILD_TYPE=RELEASE \
      -D CMAKE_INSTALL_PREFIX=${CMAKE_INSTALL_PREFIX} \
      -D WITH_CUDA=ON \
      -D CUDA_ARCH_BIN=${ARCH_BIN} \
      -D CUDA_ARCH_PTX="" \
      -D ENABLE_FAST_MATH=ON \
      -D CUDA_FAST_MATH=ON \
      -D WITH_CUBLAS=ON \
      -D WITH_LIBV4L=ON \
      -D WITH_GSTREAMER=ON \
      -D WITH_GSTREAMER_0_10=OFF \
      -D WITH_QT=ON \
      -D WITH_OPENGL=ON \
      ../

if [ $? -eq 0 ] ; then
  echo "CMake configuration make successful"
else
  # Try to make again
  echo "CMake issues " >&2
  echo "Please check the configuration being used"
  exit 1
fi

# Consider $ sudo nvpmodel -m 2 or $ sudo nvpmodel -m 0
NUM_CPU=$(nproc)
time make -j$(($NUM_CPU - 1))
if [ $? -eq 0 ] ; then
  echo "OpenCV make successful"
else
  # Try to make again; Sometimes there are issues with the build
  # because of lack of resources or concurrency issues
  echo "Make did not build " >&2
  echo "Retrying ... "
  # Single thread this time
  make
  if [ $? -eq 0 ] ; then
    echo "OpenCV make successful"
  else
    # Try to make again
    echo "Make did not successfully build" >&2
    echo "Please fix issues and retry build"
    exit 1
  fi
fi

echo "Installing ... "
sudo make install
if [ $? -eq 0 ] ; then
   echo "OpenCV installed in: $CMAKE_INSTALL_PREFIX"
else
   echo "There was an issue with the final installation"
   exit 1
fi

# check installation
IMPORT_CHECK="$(python -c "import cv2 ; print cv2.__version__")"
if [[ $IMPORT_CHECK != *$OPENCV_VERSION* ]]; then
  echo "There was an error loading OpenCV in the Python sanity test."
  echo "The loaded version does not match the version built here."
  echo "Please check the installation."
  echo "The first check should be the PYTHONPATH environment variable."
fi