OpenCV 4.10 windows 上编译并上传conan

[一. 上传opencv 预编译包](#一. 上传opencv 预编译包)

[二. 自己手动写一个测试包并上传](#二. 自己手动写一个测试包并上传)

[三. 自己写一个app, 引用包](#三. 自己写一个app, 引用包)

一. 上传opencv 预编译包

下载Opencv, 并用cmake 打开

打开工程之后，编译，install，目录如下

准备conan 包

把Debug 和 Release 分开放

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

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

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()

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})

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;

}

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