1.去http://opencv.org/releases.html下載,選擇3.4.6 sources版本
2.創建名爲caffe-ssd虛擬環境(使用python3.6,順便安裝numpy):
conda create -n caffe-ssd python=3.6 numpy
3.激活虛擬環境:
source activate caffe-ssd
4.安裝opencv所需的依賴
sudo apt-get update
sudo apt-get upgrade
sudo apt-get install build-essential cmake pkg-config libatlas-base-dev gfortran unzip
sudo apt install python-pip
pip install numpy
#可選擇安裝
sudo apt-get install build-essential
sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff5-dev libdc1394-22-dev # 處>理圖像所需的包
sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev liblapacke-dev
sudo apt-get install libxvidcore-dev libx264-dev # 處理視頻所需的包
sudo apt-get install libatlas-base-dev gfortran # 優化opencv功能
sudo apt-get install ffmpeg
sudo apt-get install cmake #如果已經安裝過cmake,則該步驟省略
sudo apt-get install build-essential libgtk2.0-dev libgtk-3-dev libavcodec-dev libavformat-dev libjpeg-dev libswscale-dev libtiff5-dev
# python3支持
sudo apt install python3-dev python3-numpy
# streamer支持
sudo apt install libgstreamer-plugins-base1.0-dev libgstreamer1.0-dev
# 可選的依賴
sudo apt install libpng-dev libopenexr-dev libtiff-dev libwebp-dev
5.編譯安裝opencv,解壓剛纔下載的包
unzip opencv-3.4.6.zip
cd opencv-3.4.6
mkdir build && cd build
#這步中的CMAKE_INSTALL_PREFIX是安裝路徑,默認的可以是/usr/local,也可以像我一樣裝在conda的虛擬環境下,PYTHON_EXECUTABLE是用到的python,可以在命令行中輸入which python查看用到的是哪個python(替換成你自己虛擬環境中的python)
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/home/abc/anaconda3/envs/caffe-ssd -D PYTHON_EXECUTABLE=/home/abc/anaconda3/envs/caffe-ssd/bin/python -D BUILD_EXAMPLES=ON -D BUILD_SHARED_LIBS=ON ..
make -j20
#如果前面CMAKE_INSTALL_PREFIX選擇的是/usr/local,這裏需改爲sudo make install
make install
6、驗證安裝是否成功
python
>>> import cv2
>>> cv2.__version__
'3.4.6'