目录

一. 上传opencv 预编译包

二. 自己手动写一个测试包并上传

三. 自己写一个app, 引用包

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一. 上传opencv 预编译包

1. 下载Opencv, 并用cmake 打开

打开工程之后，编译，install， 目录如下

2. 准备conan 包

把Debug 和 Release 分开放

3. 然后执行如下命令创建本地的包
conan create . --user=moz  --channel=stable -s build_type=Debug
conan create . --user=moz  --channel=stable -s build_type=Release
4. 上传包到remote
conan upload opencv -r=moz_stable

二. 自己手动写一个测试包并上传

1）.用如下命令生成一个包

conan new cmake_lib -d name=lib_example -d version=1.0

2). 修改代码

然后在test_package中调用

代码写完之后，修改conanfile.py

然后执行

conan create . --user=moz  --channel=stable -s build_type=Debug

执行上述命令的时候，报如下错误：

-- Configuring done (2.1s)
CMake Error in CMakeLists.txt:
  IMPORTED_IMPLIB not set for imported target "opencv_calib3d" configuration
  "MinSizeRel".


CMake Error in CMakeLists.txt:
  IMPORTED_IMPLIB not set for imported target "opencv_core" configuration
  "MinSizeRel".


CMake Error in CMakeLists.txt:
  IMPORTED_IMPLIB not set for imported target "opencv_dnn" configuration
  "MinSizeRel".

原因： OpenCV 自己的bug

解决办法： 需要在example 的CMakeLists find_package(opencv) 之前，添加如下代码：

set(OPENCV_MAP_IMPORTED_CONFIG "")

 然后再执行上述命令，就顺利完成了

conan create . --user=moz  --channel=stable -s build_type=Release 

然后上传

 conan upload lib_example  -r=moz_stable

三. 自己写一个app, 引用包

1. 写conanfile.py

import os

from conan import ConanFile
from conan.tools.cmake import CMakeToolchain, CMake, cmake_layout, CMakeDeps

class TestRecipe(ConanFile):
    settings = "os", "compiler", "build_type", "arch"
    name = "opencv_test"
    version = "1.0"
    package_type = "application"
    # generators = "CMakeToolchain", "CMakeDeps"

    def requirements(self):
        self.requires("opencv/4.10.0@moz/stable")

    def generate(self):
        deps = CMakeDeps(self)
        deps.generate()
        tc = CMakeToolchain(self)
        tc.generate()

    def build(self):
        cmake = CMake(self)
        cmake.configure()
        cmake.build()

    def package(self):
        cmake = CMake(self)
        cmake.install()

2. 准备 CMakeLists.txt

cmake_minimum_required(VERSION 3.5)

project(opencv_test LANGUAGES CXX)

set(CMAKE_CXX_STANDARD 14)
set(CMAKE_CXX_STANDARD_REQUIRED ON)

#list(APPEND CMAKE_PREFIX_PATH "C:\\Qt5.15\\5.15.2\\msvc2019_64")

message("-----CMAKE_PREFIX_PATH: ${CMAKE_PREFIX_PATH}")

set(OPENCV_MAP_IMPORTED_CONFIG "")
find_package(OpenCV REQUIRED)

message(${OpenCV_INCLUDE_DIRS})
#message(${OpenCV_LIBRARY_DIRS})
include_directories(${OpenCV_INCLUDE_DIRS})
link_directories(${OpenCV_LIBRARY_DIRS})

add_executable(opencv_test main.cpp)
target_link_libraries(opencv_test ${OpenCV_LIBRARIES})

install(TARGETS opencv_test
    LIBRARY DESTINATION ${CMAKE_INSTALL_LIBDIR})

3. 写一个demo app

#include <iostream>
#include <opencv2/opencv.hpp>

using namespace std;

using namespace cv;

Mat img;
Mat lab_img;
int l_value = 100, a_value = 128, b_value = 128;
int max_lvalue = 200;
int max_avalue = 255;
int max_bvalue = 255;


void onTrackbarChange(int, void*) {
    Mat disp_img;
    lab_img.copyTo(disp_img);
    // forEach
    // 指针
    for (int i = 0; i < lab_img.rows; ++i) {
        for (int j = 0; j < lab_img.cols; ++j) {
            Vec3b& color = disp_img.at<Vec3b>(i, j);
            int L = color[0];
            int a = color[1] - 128;
            int b = color[2] - 128;

            L = L + l_value  - 100;
            a = a + a_value - 128 ;
            b = b + b_value - 128;

            L = std::max(0.0, std::min(255.0, L*1.0));
            a = std::max(-128.0, std::min(127.0, a*1.0));
            b = std::max(-128.0, std::min(127.0, b*1.0));
            color[0] = L ;
            color[1] = a + 128 ;
            color[2] = b + 128;
        }
    }

    cvtColor(disp_img, disp_img, COLOR_Lab2BGR);

    imshow("Lab Color", disp_img);
}


void onMouse(int event, int x, int y, int flags, void* param) {
    if (event == EVENT_LBUTTONUP) {
        Vec3b color = lab_img.at<Vec3b>(y, x);
        double l = color[0];
        double a = color[1];
        double b = color[2];
        std::cout << "L=" << l << ", a=" << a << ", b=" << b << std::endl;
    }
}


int main() {
    img = imread("test.png");

    if (img.empty()) {
        std::cout << "Please input correct image path." << std::endl;
        return -1;
    }

    namedWindow("Lab Color", WINDOW_NORMAL);
    setMouseCallback("Lab Color", onMouse);

    cvtColor(img, lab_img, COLOR_BGR2Lab);

    createTrackbar("L Value", "Lab Color", &l_value, max_lvalue, onTrackbarChange);
    createTrackbar("a Value", "Lab Color", &a_value, max_avalue, onTrackbarChange);
    createTrackbar("b Value", "Lab Color", &b_value, max_bvalue, onTrackbarChange);


    while (true) {
        char key = waitKey(10);
        if (key == 27) { // Press Esc to exit
            break;
        }
    }

    destroyAllWindows();
    return 0;
}

4. 用conan 构建

1. 下载缺失的库
conan install . --output-folder=build --build=missing
2. build
conan build .

两步之后，就可以正常生成了，只是没有生成到build目录下，然后release 下面就有一个生成的exe