存档2020年7月9日

C++
1. brew
brew install homebrew/science/opencv
#若要安装opencv3,如下，可同时存在2与3
brew install homebrew/science/opencv3
or
cd “$(brew –repo)”
git remote set-url origin https://mirrors.tuna.tsinghua.edu.cn/git/homebrew/brew.git
cd “$(brew –repo)/Library/Taps/homebrew/homebrew-core”
git remote set-url origin https://mirrors.tuna.tsinghua.edu.cn/git/homebrew/homebrew-core.git
cd
brew update
brew install opencv
CLion项目中的CMakeLists.txt
cmake_minimum_required(VERSION 3.9)
project(untitled1)
set(CMAKE_CXX_STANDARD 11)
#find_library(OpenCV)
find_package(OpenCV)
include_directories(${OpenCV_INCLUDE_DIRS})
add_executable(untitled1 main.cpp)
target_link_libraries(untitled1 ${OpenCV_LIBS})
如果出现一些cmake莫名其妙的错误，可以进入Tools | CMake | Reset Cache and Reload Project清空一下CMake缓存。
选中“WITH_OPENGL”、“WITH_QT”，将“WITH_IPP”取消。然后再次点【Configure】
1. 源码 https://opencv.org/releases/
在Download/opencv-3.4.2/创建build文件夹用来存编译后文件
cmake.org/download/
打开CMake，填好OpenCV路径和build的路径->configure->Done->等->Generate
打开终端，用cd命令进入build文件夹目录，然后输入命令make
然后，等它编译到100%，然后输入命令 sudo make install

编译命令为：g++ Cpp_Opencv.cpp -o Cpp_Opencv `pkg-config --cflags --libs opencv`
或者直接将链接库列出来：g++ Cpp_Opencv.cpp  -L/usr/local/lib/ -lopencv_highgui.3.4.2 -lopencv_core.3.4.2 -lopencv_imgcodecs

---

python
pip安装
https://pypi.org/project/opencv-python/
opencv_python-4.3.0.36-cp37-cp37m-macosx_10_9_x86_64.whl
pip安装opencv无法在pycharm的anconda环境找到扩展包解决方案
不要直接pip install，进入D:\anaconda3\Scripts
将pip.exe和pip-script.py修改为condapip.exe和condapip-script.py（不加conda加别的也行，只为了和系统pip区分开）
condapip install opencv_python-4.3.0.36-cp37-cp37m-macosx_10_9_x86_64.whl
之后刷新pycharm interpretor或者重启一下，就可以成功在pycharm anaconda环境下import cv2了。

a. Packages for standard desktop environments (Windows, macOS, almost any GNU/Linux distribution)

run pip install opencv-python if you need only main modules
run pip install opencv-contrib-python if you need both main and contrib modules (check extra modules listing from OpenCV documentation)

b. Packages for server (headless) environments
These packages do not contain any GUI functionality. They are smaller and suitable for more restricted environments.

run pip install opencv-python-headless if you need only main modules
run pip install opencv-contrib-python-headless if you need both main and contrib modules (check extra modules listing from OpenCV documentation)

Import the package:
import cv2

conda install –channel https://conda.anaconda.org/menpo opencv3
conda install -c menpo opencv3

---