Yuzuki Lizard Allwinner V851S development board – compile OPENCV 4.5.4

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Yuzuki Lizard Allwinner V851S development board – compile OPENCV 4.5.4 [Copy link]

 

**1. Refer to the tutorial address mainly, and combine multiple tutorials for actual operation. ** [https://blog.csdn.net/Flag_ing/article/details/109508374](https://blog.csdn.net/Flag_ing/article/details/109508374) **2. Put the unzipped file downloaded from OPENCV RELEASE, and also put the corresponding version of the contribute unzipped file** ```gow /root/opencv-4.5.4 /root/opencv-4.5.4/build6 ```    Here we need to find three places to modify; 1. Check BUILD_opencv_world 2. Fill in CMAKE_BUILD_TYPE with: RELEASE **3. Fill in the path of opencv-contrib/modules after OPENCV_EXTRA_MODULES_PATH** For example, mine is: /home/wsx/opencv/opencv/opencv_contrib/modules After completion, click the Configure button again, wait a moment, and then click the Generate button (all red errors can be turned off) Cross-compilation toolchain address: ``` /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/ ```  Note: * Cancel WITH_GTK Cancel WITH_TIFF, PNG, JPG All red error functions, do not check them, or do it yourself. * If you click configure and it prompts that the processor is not recognized, then execute vi /root/opencv-4.5.4/cmake/OpenCVDetectCXXCompiler.cmake. You can write set(CMAKE_SYSTEM_PROCESSOR arm) on line 47 (you will be prompted, so be sure to do this.)  **4. If you want to change the default install folder, you must modify it before clicking Generate. The modification method is as follows** `vi /root/opencv-4.5.4/build6/CMakeCache.txt` Modify CMAKE_INSTALL_PREFIX:PATH=/root/opencv-4.5.4/build6 **5. Enter the directory** /root/opencv-4.5.4/build6/ Execute cmake . Execute export STAGING_DIR=/root/tina-v853-docker/prebuilt/rootfsbuilt/arm/toolchain-sunxi-musl-gcc-830/toolchain/bin Execute make -j20 (see your own number of threads, set)  The compilation is successful here**6. Compiled files** Dynamic library file /usr/local/lib/ File library /usr/local/include/opencv4/ Note that the firmware successfully compiled in the following steps does not contain a dynamic library, so the dynamic library used during compilation must be copied to the /usr/lib/ of the board simultaneously. Otherwise, an error will be reported that the dynamic library cannot be found. **7. Compile an opencv example** First execute ``` export STAGING_DIR=/root/tina-v853-docker/prebuilt/rootfsbuilt/arm/toolchain-sunxi-musl-gcc-830/toolchain/bin ``` Create 3 files in any directory 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/) # Change to your path 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/") # Change to your path 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: [url=home.php?mod=space&uid=43340]@echo[/url ] 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); //Draw a filled rectangle cv::rectangle(mat, cv::Rect(180, 180, 85, 21), cv::Scalar(255), -1, cv::LINE_8, 0); //Draw a filled rectangle std::cout << "mat.rows = " << mat.rows << std::endl; std::cout << "mat.cols = " << mat.cols << std::endl; } return 0; } ``` **8. Compile opencv example** In the created directory, execute ``` cmake . make ```  **9. Push the file to the board and add permission to execute** **10. Push the corresponding dynamic library into /usr/lib** For example, world, core…. **11. Finally, execute the terminal and push the file in. ** ./Test_OpenCV/example to this opencv 4.5.4 compiled successfully, and ran opencv example successfully. This article is reproduced from the Allwinner Online Developer Forum</iostream></opencv2>

Jacktang

The compiled firmware does not contain dynamic libraries, so the dynamic libraries used during compilation need to be copied to the board's /usr/lib/ synchronously. Otherwise, an error message will be displayed saying that the dynamic library cannot be found.

Thanks for sharing