opencv 安装

opencv 安装

工具

bash 复制代码
sudo apt-get install cmake

依赖包

bash 复制代码
sudo apt-get install build-essential libgtk2.0-dev libavcodec-dev libavformat-dev libjpeg.dev libtiff4.dev libswscale-dev libjasper-dev
bash 复制代码
sudo make
sudo make install
  • 配置环境
bash 复制代码
sudo /bin/bash -c 'echo "/usr/local/lib" > /etc/ld.so.conf.d/opencv.conf'
bash 复制代码
sudo ldconfig
bash 复制代码
sudo vim /etc/bash.bashrc  
bash 复制代码
PKG_CONFIG_PATH=$PKG_CONFIG_PATH:/usr/local/lib/pkgconfig  
export PKG_CONFIG_PATH  
bash 复制代码
source /etc/bash.bashrc  
bash 复制代码
sudo updatedb  

测试

bash 复制代码
cd opencv-3.4.1/samples/cpp/example_cmake

cmake .
make
./opencv_example
bash 复制代码
cd /home/syh/temp/opencv2/helloworld

vim CMakeLists.txt

cmake .
make
./helloworld
bash 复制代码
vim zz.cpp
vim 复制代码
#include "opencv2/core.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/videoio.hpp"
#include <iostream>
using namespace cv;
using namespace std;
int main()
{
    cout << "Built with OpenCV " << CV_VERSION << endl;
    Mat image = imread("000001.JPEG");
    cout << image.cols <<"," << image.rows << endl;

    resize(image, image, Size(360, 202));

    cout << "after resize:" << endl;
    cout << image.cols <<"," << image.rows << endl;
    cvtColor(image, image, CV_RGB2GRAY);
}
bash 复制代码
vim CMakeLists.txt
vim 复制代码
# cmake needs this line
cmake_minimum_required(VERSION 2.8)

# Define project name
project(helloworld_project)

# Find OpenCV, you may need to set OpenCV_DIR variable
# to the absolute path to the directory containing OpenCVConfig.cmake file
# via the command line or GUI
find_package(OpenCV REQUIRED)

# If the package has been found, several variables will
# be set, you can find the full list with descriptions
# in the OpenCVConfig.cmake file.
# Print some message showing some of them
message(STATUS "OpenCV library status:")
message(STATUS "    version: ${OpenCV_VERSION}")
message(STATUS "    libraries: ${OpenCV_LIBS}")
message(STATUS "    include path: ${OpenCV_INCLUDE_DIRS}")

if(CMAKE_VERSION VERSION_LESS "2.8.11")
  # Add OpenCV headers location to your include paths
  include_directories(${OpenCV_INCLUDE_DIRS})
endif()

# Declare the executable target built from your sources
add_executable(helloworld zz.cpp)

# Link your application with OpenCV libraries
target_link_libraries(helloworld PRIVATE ${OpenCV_LIBS})

Error

bash 复制代码
undefined reference to TIFFReadEncodedStrip@LIBTIFF_4.0'

# 解决方案
sudo mv /usr/local/anaconda3/lib/libtiff.so* ~/temp
相关推荐
math_hongfan几秒前
鸿蒙多模态AI交互高级:图文+语音+手势融合交互/多模态大模型端侧适配/跨模态检索高阶实战
人工智能·学习·华为·交互·语音识别·harmonyos·鸿蒙
fthux2 分钟前
MCP协议开发实战:从零搭建AI Agent工具链
前端·人工智能·ai·开源·github
一次旅行17 分钟前
Ollama本地私有化大模型完整工程实战
人工智能·机器学习·github
松果财经17 分钟前
从买家电到设计生活!卡萨帝AI全场景体验重塑渠道价值
人工智能
盼小辉丶19 分钟前
PyTorch计算机视觉(5)——生成对抗网络(Generative Adversarial Network,GAN)
pytorch·生成对抗网络·计算机视觉
云端漫步198720 分钟前
HarmonyOS NEXT AI 智能生活助手:源码解析与项目复盘
人工智能·华为·生活·harmonyos
华科大胡子25 分钟前
GitHub Copilot 能换成本地模型吗?—— 本地化替代方案深度解析
人工智能·github·copilot
独隅26 分钟前
从 Copilot 到 Agent:AI 驱动的开发工作流重构指南
人工智能·重构·copilot
新知图书31 分钟前
6.2 PPT与演讲内容策划实战
人工智能·ai助手·千问
math_hongfan31 分钟前
鸿蒙AI应用性能高级评测:推理延迟/内存占用/功耗/准确率四维指标评测体系与极致调优方案
人工智能·学习·华为·harmonyos·鸿蒙