ubuntu18.04下 c++安装opencv-3.4.6,c++安装opencv-3.4.9,clion配置opencv-3.4.6与 python安装 opencv-3.4.6

骑猪看日落 2023-03-01 09:57 13阅读 0赞

##                                                        c++安装**opencv-3.4.6** ##

**  卸载**

1. $ sudo make uninstall
    2. $ cd ..
    3. $ sudo rm -r build
    4. $ sudo rm -r /usr/local/include/opencv2 /usr/local/include/opencv /usr/include/opencv /usr/include/opencv2 /usr/local/share/opencv /usr/local/share/OpenCV /usr/share/opencv /usr/share/OpenCV /usr/local/bin/opencv* /usr/local/lib/libopencv*

**推荐下面第二段安装opencv-3.4.9的版本**

1.先要提前安装依赖库

sudo add-apt-repository "deb http://security.ubuntu.com/ubuntu xenial-security main" 
    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 libtiff-dev libjasper-dev libdc1394-22-dev

# 报： E: 无法定位软件包 #

一般是源的问题，请设置为阿里或清华源

2.将opencv源码库拷贝到系统中,解压;

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzE1MjA0MTc5_size_16_color_FFFFFF_t_70][]

opencv-3.4.6.tar.gz 库下载:

链接：https://pan.baidu.com/s/1IhukVJVe0NJtvb7voRqkkw   
提取码：8wy4

![2020072320135793.png][]

3. 在源码文件夹中,新建build目录,进到build目录运行cmake;

安装目录 /home/sukai/opencv\_libs  自己另外指定;

注意3.2 末尾的两个点 .. 不能少

控制台运行
    3.1 mkdir build cd build 
    3.2 cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/home/sukai/opencv_libs -D WITH_TBB=ON -D WITH_V4L=ON -D WITH_OPENGL=ON .. 
    3.3 make

3.4 安装  安装完成后才能看到在这个 /home/sukai/目录下看到 opencv\_libs 文件夹

sudo make install

**4.Clion中添加依赖**

4.1

打开clion 在当前工程下新建一个cmake文件夹，将 FindOpenCV.cmake 文件拷贝进去

改下安装opencv的路径  /home/sukai/opencv\_libs

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzE1MjA0MTc5_size_16_color_FFFFFF_t_70 1][]

FindOpenCV.cmake 文件:

# once done, this will define
    #OpenCV_FOUND        -  whether there is OpenCV in the prebuilt libraries
    #OpenCV_INCLUDE_DIRS -  include directories for OpenCV
    #OpenCV_LIBRARY_DIRS -  library directories for OpenCV
    #OpenCV_LIBRARIES    -  link this to use OpenCV
    
    unset(OpenCV_FOUND)
    
    set(PREBUILT_DIR /home/sukai/opecv_libs)
    
    set(OpenCV_DIR ${PREBUILT_DIR})
    
    MESSAGE(STATUS "TEST  ${PREBUILT_DIR}")
    
    set(OpenCV_INCLUDE_DIRS ${OpenCV_DIR}/include)
    SET(OpenCV_LIB_COMPONENTS opencv_videostab;opencv_video;opencv_superres;opencv_stitching;opencv_photo;
            opencv_objdetect;opencv_ml;opencv_imgproc;opencv_highgui;opencv_flann;opencv_features2d;
            opencv_core;opencv_calib3d;opencv_imgcodecs)
    find_path(OpenCV_INCLUDE_DIRS NAMES opencv.h HINTS ${OpenCV_DIR}/include NO_SYSTEM_ENVIRONMENT_PATH)
    
    set(OpenCV_LIBRARY_DIRS ${OpenCV_DIR}/lib)
    
    FOREACH(cvcomponent ${OpenCV_LIB_COMPONENTS})
      find_library(lib_${cvcomponent} NAMES ${cvcomponent} HINTS ${OpenCV_DIR}/lib NO_DEFAULT_PATH)
    
      set(OpenCV_LIBRARIES ${OpenCV_LIBRARIES};${lib_${cvcomponent}})
    ENDFOREACH()
    
    set(OpenCV_LIBS ${OpenCV_LIBRARIES})
    
    set(OpenCV_INCLUDE_DIRS ${OpenCV_INCLUDE_DIRS};${OpenCV_INCLUDE_DIRS}/opencv)
    
    if (OpenCV_INCLUDE_DIRS AND OpenCV_LIBRARIES)
      set(OpenCV_FOUND TRUE)
    endif (OpenCV_INCLUDE_DIRS AND OpenCV_LIBRARIES)
    
    if (OpenCV_FOUND)
      if (NOT OpenCV_FIND_QUIETLY)
        message(STATUS "Found OpenCV: ${OpenCV_LIBRARIES}")
      endif (NOT OpenCV_FIND_QUIETLY)
    else(OpenCV_FOUND)
      if (OpenCV_FIND_REQUIRED)
        message(FATAL_ERROR "Could not find the OpenCV library")
      endif ()
    endif (OpenCV_FOUND)
    
    # 导入opencv相关的头文件
    include_directories(${OpenCV_INCLUDE_DIRS})

4.2  cmakeList.txt 配置文件

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzE1MjA0MTc5_size_16_color_FFFFFF_t_70 2][]

cmakeList.txt 文件

cmake_minimum_required(VERSION 3.14)
    project(CalibrationCamera)
    
    set(CMAKE_CXX_STANDARD 14)
    
    set(OUTPUT_DIRECTORY_ROOT ${CMAKE_CURRENT_SOURCE_DIR}/build) # ${CMAKE_BUILD_TYPE}
    set(CMAKE_RUNTIME_OUTPUT_DIRECTORY "${OUTPUT_DIRECTORY_ROOT}/bin" CACHE PATH "Runtime directory" FORCE)
    set(CMAKE_LIBRARY_OUTPUT_DIRECTORY "${OUTPUT_DIRECTORY_ROOT}/lib" CACHE PATH "Library directory" FORCE)
    set(CMAKE_ARCHIVE_OUTPUT_DIRECTORY "${OUTPUT_DIRECTORY_ROOT}/lib" CACHE PATH "Archive directory" FORCE)
    
    # 设置CMAKE模块路径
    #set(CMAKE_MODULE_PATH ${CMAKE_MODULE_PATH} ~/3rdparty/OpenCV-3.4.9/share/OpenCV)
    set(CMAKE_MODULE_PATH ${CMAKE_MODULE_PATH} ${CMAKE_CURRENT_SOURCE_DIR}/cmake)
    
    find_package(OpenCV REQUIRED)
    
    include_directories(${OpenCV_INCLUDE_DIRS})
    
    add_executable(CalibrationCamera main.cpp)
    
    add_subdirectory(src)

\-----------------------------------------------------------------

参考:https://docs.opencv.org/3.4.1/d7/d9f/tutorial\_linux\_install.html

**下载opencv库**

cd ~/<my\_working\_directory>

git clone https://github.com/opencv/opencv.git

git clone https://github.com/opencv/opencv\_contrib.git

=========================================================================================

推荐安装这个：

# **                                     c++安装opencv-3.4.9** #

## 安装opencv依赖库 ##

### 准备源码 ###

链接：https://pan.baidu.com/s/1qaUe1BUJwPJlTrwgpVOPUA   
提取码：pzjr

![20200728132629249.png][]

# 编译工具 #

sudo apt-get install build-essential

# 必须的 #

sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev libv4l-dev

# 可选的 #

sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev

sudo apt-get install gtk-3.0-dev

sudo apt-get install libatlas-base-dev gfortran

mkdir ~/opencvenv

cd ~/opencvenv

# 如果网络好就直接执行命令 , 总共700MB #

git clone -b 3.4 https://github.com/opencv/opencv.git git clone -b 3.4 https://github.com/opencv/opencv_contrib.git

# 或者直接使用资料中下好的文件 #

# 将这两个文件拷贝到opencv\_env路径下 #

opencv-3.4.9.zip opencv\_contrib.tar.gz

# 使用tar -zxvf 将上述两个文件进行解压 #

\`\`\`

## 准备离线文件 ##

` 把这个cache.tar.gz 拷贝到 `*opencv*en 文件夹下

在当前opencven 文件夹下解压运行

tar -zxvf cache.tar.gz -C opencv-3.4.9/

保证源码目录中有`.cache`在后边执行cmake时候, 会自动检查本地是否有这些文件, 如果有, 则不再联网下载.

### 配置&编译&安装 ###

# 进入Opencv目录 #

cd opencv-3.4.9

# 创建一个build目录 #

mkdir build

# 进入build目录 #

cd build

# cmake编译配置：也可以自行使用cmake-gui配置 #

注意末尾的两个点 .. 不能少

# 或者指定任意输出目录，例如我把OpenCV输出到 ~/3rdparty/OpenCV-3.4.9 用这个  （用这个,cmake结束后直接 sudo make install ） #

OPENCV\_EXTRA\_MODULES\_PATH=/home/sk/opencvenv/opencv\_contrib-3.4.9/modules 指定的是第三方源码目录

拷贝执行以下其中一条：

1.需要改自己的目录     /home/sukai/3rdparty/OpenCV-3.4.9

cmake -D CMAKE_BUILD_TYPE=RELEASE -D BUILD_opencv_python2=OFF -D BUILD_opencv_python3=ON -D INSTALL_PYTHON_EXAMPLES=ON -D CMAKE_INSTALL_PREFIX=/home/sk/3rdparty/OpenCV-3.4.9 -D OPENCV_EXTRA_MODULES_PATH=/home/sk/opencvenv/opencv_contrib-3.4.9/modules  -D BUILD_EXAMPLES=ON ..

2.不需要改目录    ~/3rdparty/OpenCV-3.4.9

cmake -D CMAKE_BUILD_TYPE=RELEASE -D BUILD_opencv_python2=OFF -D BUILD_opencv_python3=ON -D INSTALL_PYTHON_EXAMPLES=ON -D CMAKE_INSTALL_PREFIX=~/3rdparty/OpenCV-3.4.9 -D OPENCV_EXTRA_MODULES_PATH=~/opencvenv/opencv_contrib-3.4.9/modules  -D BUILD_EXAMPLES=ON ..

# 注意末尾的两个点 .. 不能少，注意最后一个参数要根据你自己的路径来 #

cmake -D CMAKE*BUILD*TYPE=Release \\ -D BUILD*opencvpython2=OFF \\ -D BUILDopencv*python3=ON ..

# 或者用这个，可以编译安装一些Python和C++案例 #

cmake -D CMAKE*BUILD*TYPE=Release \\ -D BUILD*opencvpython2=OFF \\ -D BUILDopencv*python3=ON \\ -D CMAKE*INSTALL*PREFIX=/usr/local \\ -D INSTALL*PYTHONEXAMPLES=ON \\*

*-D * OPENCV\_EXTRA\_MODULES\_PATH=/home/sk/opencvenv/opencv\_contrib-3.4.9/modules *\\ -D BUILD*EXAMPLES=ON ..

# 或者指定任意输出目录，例如我把OpenCV输出到 ~/3rdparty/OpenCV-3.4.9 #

cmake -D CMAKE*BUILD*TYPE=Release \\ -D BUILD*opencvpython2=OFF \\ -D BUILDopencv*python3=ON \\ -D INSTALL*PYTHON*EXAMPLES=ON \\ -D CMAKE*INSTALLPREFIX=~/3rdparty/OpenCV-3.4.9 \\ -D * OPENCV\_EXTRA\_MODULES\_PATH=/home/sk/opencvenv/opencv\_contrib-3.4.9/modules *\\ -D BUILD*EXAMPLES=ON ..

# **或者指定任意输出目录，例如我把OpenCV输出到 ~/3rdparty/OpenCV-3.4.9** #

cmake -D CMAKE\_BUILD\_TYPE=Release \\  
      -D BUILD\_opencv\_python2=OFF \\  
      -D BUILD\_opencv\_python3=ON \\  
      -D INSTALL\_PYTHON\_EXAMPLES=ON \\  
      -D CMAKE\_INSTALL\_PREFIX=~/3rdparty/OpenCV-3.4.9 \\  
      -D OPENCV\_EXTRA\_MODULES\_PATH=/home/sk/opencvenv/opencv\_contrib-3.4.9/modules \\  
      -D BUILD\_EXAMPLES=ON ..

# 开启8个线程 #

make -j8

# 编译成功之后,再执行, 会安装到刚刚CMAKE*INSTALL*PREFIX指定的路径 #

sudo make install

### 出现的问题 ###

建议在直接将cache.tar.gz内容解压缩到源码根目录下的.cache，即可避免由于需要在线下载会出现的问题。

1. ippicv

由于是外国服务器原因，这里极大概率会出现下载错误，会提示`ippicv_2019_lnx_intel64_general_20180723.tgz` 下载失败!！解决方式如下

**方式1：**推荐

将`ippicv_2019_lnx_intel64_general_20180723.tgz`拷贝为`opencv/.cache/ippicv/c0bd78adb4156bbf552c1dfe90599607-ippicv_2019_lnx_intel64_general_20180723.tgz`即可

**方式2：**

\`\`\`shell

# 打开终端，输入 #

gedit ~/opencv\_env/opencv/3rdparty/ippicv/ippicv.cmake \#就是这个文件的路径

# 将47行的 #

"https://raw.githubusercontent.com/opencv/opencv*3rdparty/$\{IPPICV*COMMIT\}ippicv/"

# 改为步骤1中手动下载的文件的本地路径(也就是将网络下载的模式改为本地文件下载的模式): #

"file:///home/itheima/opencv\_env/" \#（仅供参考，根据自己的路径填写,ippicv所在的目录） \`\`\`

2. face*landmark*model.dat

cmake过程中会到[https://raw.githubusercontent.com/opencv/opencv*3rdparty/8afa57abc8229d611c4937165d20e2a2d9fc5a12/face*landmark\_model.dat][https_raw.githubusercontent.com_opencv_opencv_3rdparty_8afa57abc8229d611c4937165d20e2a2d9fc5a12_face_landmark_model.dat]下载dat文件，这里提前准备好，就不需要联网下啦，进入opencv源码根目录，执行：

\`\`\` mkdir -p .cache/data

cp face*landmark*model.dat .cache/data/7505c44ca4eb54b4ab1e4777cb96ac05-face*landmark*model.dat \`\`\`

3. opencv boostdesc\_bgm.i

> opencv boostdesc\_bgm.i: No such file or directory

查看下载失败的文件

`shell opencv-3.4.9/build$ cat CMakeDownloadLog.txt`

直接自行下载到指定目录，或将一下文件拷贝到指定目录

### Clion中添加依赖 ###

**4.Clion中添加依赖**

4.1

打开clion 在当前工程下新建一个cmake文件夹，将 FindOpenCV.cmake 文件拷贝进去

改下安装opencv的路径  */home/sukai/3rdparty/OpenCV-3.4.9*

![20200728113541561.png][]

FindOpenCV.cmake 文件:

# once done, this will define
    #OpenCV_FOUND        -  whether there is OpenCV in the prebuilt libraries
    #OpenCV_INCLUDE_DIRS -  include directories for OpenCV
    #OpenCV_LIBRARY_DIRS -  library directories for OpenCV
    #OpenCV_LIBRARIES    -  link this to use OpenCV
    
    set(OpenCV_DIR ~/3rdparty/OpenCV-3.4.9)
    
    unset(OpenCV_FOUND)
    
    MESSAGE(STATUS "OpenCV_DIR TEST  ${PREBUILT_DIR}")
    
    set(OpenCV_INCLUDE_DIRS "${OpenCV_DIR}/include" "${OpenCV_DIR}/include/opencv")
    set(OpenCV_LIB_COMPONENTS opencv_core;opencv_ml;opencv_calib3d;opencv_highgui;opencv_superres;opencv_photo;
            opencv_imgcodecs;opencv_features2d;opencv_flann;opencv_shape;opencv_stitching;opencv_dnn;
            opencv_videostab;opencv_imgproc;opencv_objdetect;opencv_video;opencv_videoio;opencv_reg;opencv_aruco;
            opencv_dpm;opencv_xobjdetect;opencv_xfeatures2d;opencv_surface_matching;opencv_plot;opencv_hfs;
            opencv_tracking;opencv_rgbd;opencv_text;opencv_dnn_objdetect;opencv_face;opencv_optflow;opencv_bgsegm;
            opencv_bioinspired;opencv_ximgproc;opencv_saliency;opencv_freetype;opencv_stereo;opencv_img_hash;
            opencv_fuzzy;opencv_ccalib;opencv_line_descriptor;opencv_datasets;opencv_phase_unwrapping;
            opencv_xphoto;opencv_structured_light)
    
    find_path(OpenCV_INCLUDE_DIRS NAMES opencv.h HINTS ${OpenCV_DIR}/include NO_SYSTEM_ENVIRONMENT_PATH)
    
    set(OpenCV_LIBRARY_DIRS ${OpenCV_DIR}/lib)
    
    FOREACH(cvcomponent ${OpenCV_LIB_COMPONENTS})
      find_library(lib_${cvcomponent} NAMES ${cvcomponent} HINTS ${OpenCV_DIR}/lib NO_DEFAULT_PATH)
    
      set(OpenCV_LIBRARIES ${OpenCV_LIBRARIES};${lib_${cvcomponent}})
    ENDFOREACH()
    
    set(OpenCV_LIBS ${OpenCV_LIBRARIES})
    
    set(OpenCV_INCLUDE_DIRS ${OpenCV_INCLUDE_DIRS};${OpenCV_INCLUDE_DIRS}/opencv)
    
    if (OpenCV_INCLUDE_DIRS AND OpenCV_LIBRARIES)
      set(OpenCV_FOUND TRUE)
    endif (OpenCV_INCLUDE_DIRS AND OpenCV_LIBRARIES)
    
    if (OpenCV_FOUND)
      if (NOT OpenCV_FIND_QUIETLY)
        message(STATUS "Found OpenCV: ${OpenCV_LIBRARIES}")
      endif (NOT OpenCV_FIND_QUIETLY)
    else(OpenCV_FOUND)
      if (OpenCV_FIND_REQUIRED)
        message(FATAL_ERROR "Could not find the OpenCV library")
      endif ()
    endif (OpenCV_FOUND)

4.2  cmakeList.txt 配置文件

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzE1MjA0MTc5_size_16_color_FFFFFF_t_70 2][]

cmakeList.txt 文件

cmake_minimum_required(VERSION 3.16)
    project(opencv)
    
    set(CMAKE_CXX_STANDARD 14)
    
    set(CMAKE_MODULE_PATH ${CMAKE_MODULE_PATH} ${CMAKE_CURRENT_SOURCE_DIR}/cmake)
    find_package(OpenCV REQUIRED)
    
    
    add_executable(opencv_cpp main.cpp)
    target_link_libraries(opencv_cpp ${OpenCV_LIBS})
    
    add_executable(zfngtu 04_图像直方图.cpp)
    target_link_libraries(zfngtu ${OpenCV_LIBS})

## 代码测试 ##

### Mat类 ###

数据类型定义

\`\`\`c++ CV\_位数(S|U|F)C通道数量 位数: 8位 , 16位, 32位 ,64位 单通道颜色取值范围是0-255,所以通常是8位

S|U|F: S--代表---signed int---有符号整形 U--代表--unsigned int--无符号整形 F--代表--float---------单精度浮点型

C通道数量: 通道数量 = 1：灰度图片,单通道图像 通道数量 = 3：灰度图片,单通道图像 通道数量 = 4：带Alph通道的RGB图像,png图片是这种

\`\`\`

## ##

===========================================================================================

### opencv 卸载 ###

### [https://blog.csdn.net/Bluenapa/article/details/84024272][https_blog.csdn.net_Bluenapa_article_details_84024272] ###

### ================================================================== ###

###   ubuntu18.04 ros 使用anaconda创建虚拟环境 python.7安装 opencv-3.4.6 ###

**ps:**ros系统python2.7与 python3.7安装 OpenCV有冲突所以使用anaconda创建虚拟环境,在虚拟环境中使用opencv-3.4.6

1. ubuntu 把pip也换成国内源

mkdir ~/.pip
     
    cd ~/.pip
     
    touch pip.conf
     
    sudo nano ~/.pip/pip.conf

打开pip.conf 文件后，添加以下内容:

[global]
     
    index-url =  http://mirrors.aliyun.com/pypi/simple/
     
     
     
    [install]
     
    trusted-host = pypi.tuna.tsinghua.edu.cn

更新一下：

sudo apt-get update

2.下载 与安装anaconda

自己百度! 或用我准备好的;

链接：https://pan.baidu.com/s/1rs4rpQV78LuLhk-4O687ew   
提取码：e6bc   
![20200728132944544.png][]

3.使用anaconda创建虚拟环境 2和3版本都可以,但是安装opencv时要注意版本号;

# 1.
    export PATH=~/anaconda3/bin:$PATH
    或 配置环境变量
    echo "export PATH=~/anaconda3/bin:\$PATH" >> ~/.bashrc
    
    
    # 2. 创建虚拟环境
    conda create -n opencvenv python=3.7
    
    安装这一步时会报以下错 :
    Solving environment: failed
    # >>>>>>>>>>>>>>>>>>>>>> ERROR REPORT <<<<<<<<<<<<<<<<<<<<<<
    `$ /home/sk/anaconda3/bin/conda create -n opencvenv python=3.7`
    
      environment variables:
                     CIO_TEST=<not set>
            CMAKE_PREFIX_PATH=/opt/ros/melodic
                   CONDA_ROOT=/home/sk/anaconda3
    
    
    这是因为anaconda3文件没有权限 ，给它个权限,如果还是报这个错就多执行几次这命令，因为有可能对方服务器没及时响应
    
    sudo chmod  777 -R anaconda3
    
    # 3. 激活新创建的环境
    source activate
    source deactivate
    conda activate opencvenv
    
    # 4. 安装opencv-python
    conda install opencv==3.4.2
    
    
    # 5. 这时我们还需要安装扩展包
    pip install opencv-contrib-python==3.4.2.17
    上面报错就用下面这行 后面的版本跟上; 不跟版本默认最新的,最新的没试过可能存在问题
    pip install --user -i https://pypi.tuna.tsinghua.edu.cn/simple opencv-contrib-python==3.4.2.17
    
    # 6.
    sudo apt-get install libcanberra-gtk-module
    
    # 7. 可能会出现下面问题：
    QObject::moveToThread: Current thread (0x55fd81f67a60) is not the object's thread (0x55fd820ef150). Cannot move to target thread (0x55fd81f67a60)
    
    切换到自己的 虚拟环境中
    conda info -e 查看自己的环境
    conda activate python_env 切换到需要的环境中然后执行下面的命令
      执行： conda install pyqt 可以就绝上述问题 
    
    
    pycharm中如果编写代码没有提示，可以考虑将工程下面的.idea文件删除，再重新打开pycharm
    
    
    # 采用这种方式安装,在当前版本中会出现如下异常
    The function is not implemented. Rebuild the library with Windows, GTK+ 2.x or Carbon support. If you are on Ubuntu or Debian, install libgtk2.0-dev and pkg-config, then re-run cmake or configure script in function 'cvShowImage'

**如果 报conda 不存在: **

1.控制台执行这个 export PATH=~/anaconda3/bin:$PATH

或

修改环境变量

vim ~/.bashrc

在最后添加：

export PATH=~/anaconda3/bin:$PATH

重启环境变量：

source ~/.bashrc

也可以在pychram 中的控制台中执行,但前提是要配编译环境,编译环境配置在最下面

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzE1MjA0MTc5_size_16_color_FFFFFF_t_70 3][]

pycharm 添加环境

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzE1MjA0MTc5_size_16_color_FFFFFF_t_70 4][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzE1MjA0MTc5_size_16_color_FFFFFF_t_70 5][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzE1MjA0MTc5_size_16_color_FFFFFF_t_70 6][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzE1MjA0MTc5_size_16_color_FFFFFF_t_70 7][]

运行 cv.imshow("src",imwrite)  显示以下黑框原因是你安装了 4.3 版本的openCV,安装时一定要跟上版本号;

![20200719140951690.png][]

控制台报错：

QObject::moveToThread: Current thread (0x56175a10a400) is not the object's thread (0x56175a2abbe0).  
Cannot move to target thread (0x56175a10a400)

执行：

尝试以下 一个一个试不要一次性都执行
    切换到自己的 虚拟环境中
    conda info -e 查看自己的环境
    conda activate python_env 切换到需要的环境中然后执行下面的命令
    conda install pyqt
    sudo pip uninstall opencv-python
    sudo pip install libopencv-dev opencv-python
    sudo apt-get install libopencv-dev opencv-python

**以下安装notebook看自己需求,需要就安装notebook**

安装jupyter notebook

conda install jupyter notebook

安装jupyter notebook的代码提示功能

pip install jupyter_contrib_nbextensions
    
    //上一行报错就用这行代替
    pip install --user -i https://pypi.tuna.tsinghua.edu.cn/simple  jupyter_contrib_nbextensions
    
    jupyter contrib nbextension install --user --skip-running-check

启动jupyter notebook

jupyter notebook

点开 Nbextensions 的选项，并勾选 Hinterland

[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzE1MjA0MTc5_size_16_color_FFFFFF_t_70]: /images/20230209/e5afa6259e59472387dbae08536a8746.png
[2020072320135793.png]: /images/20230209/cc3f2335eedb4bd49c45c41dca7c79b8.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzE1MjA0MTc5_size_16_color_FFFFFF_t_70 1]: /images/20230209/019b478a9ee2495e9b983130ad8200a4.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzE1MjA0MTc5_size_16_color_FFFFFF_t_70 2]: /images/20230209/5e7d13547da44a64bdd3d83d37eefc57.png
[20200728132629249.png]: /images/20230209/51610984398d4b93ba357df2fcdc1444.png
[https_raw.githubusercontent.com_opencv_opencv_3rdparty_8afa57abc8229d611c4937165d20e2a2d9fc5a12_face_landmark_model.dat]: https://raw.githubusercontent.com/opencv/opencv_3rdparty/8afa57abc8229d611c4937165d20e2a2d9fc5a12/face_landmark_model.dat
[20200728113541561.png]: /images/20230209/391b167638144ce0bf44946d1fb4aabf.png
[https_blog.csdn.net_Bluenapa_article_details_84024272]: https://blog.csdn.net/Bluenapa/article/details/84024272
[20200728132944544.png]: /images/20230209/9d65f2a4c1c647d5a23ea2435fa696af.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzE1MjA0MTc5_size_16_color_FFFFFF_t_70 3]: /images/20230209/b909dd59f2c545a3b274aba2ce74d04a.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzE1MjA0MTc5_size_16_color_FFFFFF_t_70 4]: /images/20230209/f0596a66053d4e208f4d1dfc97594137.png
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[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzE1MjA0MTc5_size_16_color_FFFFFF_t_70 7]: /images/20230209/eba6e0457e5a4bbaad48576328d74654.png
[20200719140951690.png]: /images/20230209/e5e73abd0e154d539e2fc60967bb10c9.png