Yuzuki Lizard 全志V851S开发板 –编译 OPENCV 4.5.4

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Yuzuki Lizard 全志V851S开发板 –编译 OPENCV 4.5.4 [复制链接]

 

**1.主要参考教程地址，实际操作结合多个教程。** [https://blog.csdn.net/Flag_ing/article/details/109508374](https://blog.csdn.net/Flag_ing/article/details/109508374) **2.放从OPENCV RELEASE 下载的解压出来的文件，里面还要放对应版本的contribute 解压文件** ```gow /root/opencv-4.5.4 /root/opencv-4.5.4/build6 ```    在这里要找到三个地方进行修改; 1、勾选上BUILD_opencv_world 2、在CMAKE_BUILD_TYPE后填上：RELEASE **3、在OPENCV_EXTRA_MODULES_PATH后填上opencv-contrib/modules的路径** 比如我是：/home/wsx/opencv/opencv/opencv_contrib/modules 完成之后再次点击Configure按钮，稍等片刻，之后在点击Generate按钮 （所有红色报错，全部关掉即可） 交叉编译工具链地址： ``` /root/tina-v853-docker/prebuilt/rootfsbuilt/arm/toolchain-sunxi-musl-gcc-830/toolchain/bin/arm-openwrt-linux-gcc /root/tina-v853-docker/prebuilt/rootfsbuilt/arm/toolchain-sunxi-musl-gcc-830/toolchain/bin/arm-openwrt-linux-g++ /root/tina-v853-docker/prebuilt/rootfsbuilt/arm/toolchain-sunxi-musl-gcc-830/bin/ ```  注意： * 取消WITH_GTK 取消WITH_TIFF , PNG ,JPG 所有红色报错的功能，都不要勾选，或者自己搞定。 * 如果点击configure提示处理器未识别 那么执行vi /root/opencv-4.5.4/cmake/OpenCVDetectCXXCompiler.cmake 可以在第47行，写入 set(CMAKE_SYSTEM_PROCESSOR arm) （一定会提示，一定要这么做。）  **4、 如果要修改默认的install文件夹，要在点击Generate之前修改，修改方式如下** `vi /root/opencv-4.5.4/build6/CMakeCache.txt` 修改CMAKE_INSTALL_PREFIX:PATH=/root/opencv-4.5.4/build6 **5、进入目录** /root/opencv-4.5.4/build6/ 执行 cmake . 执行 export STAGING_DIR=/root/tina-v853-docker/prebuilt/rootfsbuilt/arm/toolchain-sunxi-musl-gcc-830/toolchain/bin 执行 make -j20 (看自己的线程数，设定）  到此编译成功 **6、编译出来的文件** 动态库文件 /usr/local/lib/ 文件库 /usr/local/include/opencv4/ 注意下面步骤中成功编译出来的固件，是不含动态库的，所以还需要编译时所用的动态库，同步复制到板子的/usr/lib/ 里面去。否则报错找不到动态库 **7、编译一个opencv example** 首先 执行 ``` export STAGING_DIR=/root/tina-v853-docker/prebuilt/rootfsbuilt/arm/toolchain-sunxi-musl-gcc-830/toolchain/bin ``` 任意目录下创建3个文件 1.CMakeLists.txt ``` cmake_minimum_required(VERSION 3.10) set (ARM_LINUX_GCC_PATH /root/tina-v853-docker/prebuilt/rootfsbuilt/arm/toolchain-sunxi-musl-gcc-830/toolchain/bin/) # 改成你的路径 set (CMAKE_C_COMPILER ${ARM_LINUX_GCC_PATH}arm-openwrt-linux-gcc) set (CMAKE_CXX_COMPILER ${ARM_LINUX_GCC_PATH}arm-openwrt-linux-g++) project(Test_OpenCV_Mobile) set(CMAKE_CXX_STANDARD 11) set(OpenCV_DIR "/root/opencv-4.5.4/") # 改成你的路径 find_package(OpenCV REQUIRED) FIND_PACKAGE(OpenMP REQUIRED) add_executable(Test_OpenCV_Mobile main.cpp) target_link_libraries(Test_OpenCV_Mobile pthread) target_link_libraries(Test_OpenCV_Mobile dl) target_link_libraries(Test_OpenCV_Mobile -fopenmp) target_link_libraries(Test_OpenCV_Mobile ${OpenCV_LIBS}) ``` 2.makefile ``` OPENCV_DIR := /root/opencv-4.5.4/ THIRD_PART_INCLUDE := -I$(OPENCV_DIR)include/opencv4 -I$(OPENCV_DIR)include/opencv4/opencv2 THIRD_PART_LIBRARY := $(OPENCV_DIR)lib/libopencv_highgui.a $(OPENCV_DIR)lib/libopencv_features2d.a $(OPENCV_DIR)lib/libopencv_imgproc.a $(OPENCV_DIR)lib/libopencv_photo.a $(OPENCV_DIR)lib/libopencv_video.a $(OPENCV_DIR)lib/libopencv_core.a TARGET = Test_OpenCV_Mobile START:     <a href="http://bbs.eeworld.com.cn/home.php?mod=space&uid=43340" target="_blank">@echo</a> START     rm -rf $(TARGET)     /root/tina-v853-docker/prebuilt/rootfsbuilt/arm/toolchain-sunxi-musl-gcc-830/toolchain/bin/arm-openwrt-linux-g++ -O2 -std=c++11 -lpthread -fopenmp -ldl $(CFLAGS) $(THIRD_PART_INCLUDE) -o $(TARGET) ./main.cpp $(THIRD_PART_LIBRARY) .PHONY:clean clean:     rm -rf $(BINDIR) ``` 3.main.cpp ``` #include <opencv2/opencv.hpp> #include <iostream> int main() {     cv::Mat mat = cv::Mat::zeros(256,256, CV_8UC1);     {         cv::rectangle(mat, cv::Rect(40, 45, 51, 65), cv::Scalar(255), -1, cv::LINE_8, 0);//绘制填充矩形         cv::rectangle(mat, cv::Rect(180, 180, 85, 21), cv::Scalar(255), -1, cv::LINE_8, 0);//绘制填充矩形         std::cout << "mat.rows = " << mat.rows << std::endl;         std::cout << "mat.cols = " << mat.cols << std::endl;     }     return 0; } ``` **8.编译 opencv example** 在创建的目录里面，执行 ``` cmake . make ```  **9、将文件推进板子，并添加权限执行** **10、推送相应的动态库进入 /usr/lib** 比如 world,core…. **11、最后终端执行，推送进来的文件。** ./Test_OpenCV/example 到此 opencv 4.5.4 编译成功，并运行opencv example成功。 本文转载自全志在线开发者论坛

Jacktang

编译出来的固件，是不含动态库的，所以还需要编译时所用的动态库，同步复制到板子的/usr/lib/ 里面去。否则报错找不到动态库

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