100ASK_V853-PRO开发板支持opencv和ffmpeg

100ASK_V853-PRO开发板支持opencv和ffmpeg

0.前言

​ 感谢Yuzuki大佬提供的两个支持包,原贴链接:V853/V851s 增加 OpenCV, FFmpeg 编译包 | 全志在线开发者论坛

​ opencv支持包:opencv.tar.gz

​ ffmpeg支持包:ffmpeg.tar.gz

1.安装opencv和ffmpeg

​ 将下载的两个压缩包opencv.tar.gzffmpeg.tar.gz传入Ubuntu中,可以放置在任意目录中,假设我放在/home/book/workspaces目录下

book@100ask:~/workspaces$ ls
tina-v853-open     opencv.tar.gz     ffmpeg.tar.gz

解压两个压缩包输入

tar -xzvf opencv.tar.gz 
tar -xzvf ffmpeg.tar.gz 

例如:

book@100ask:~/workspaces$ tar -xzvf opencv.tar.gz 
opencv/
opencv/patches/
opencv/patches/010-uclibc-ng.patch
opencv/patches/020-l_tmpnam.patch
opencv/Makefile
opencv-sample/
opencv-sample/opencv-camera/
opencv-sample/opencv-camera/src/
opencv-sample/opencv-camera/src/main.cpp
opencv-sample/opencv-camera/src/Makefile
opencv-sample/opencv-camera/Makefile
opencv-sample/yolov5-post-opencv/
opencv-sample/yolov5-post-opencv/src/
opencv-sample/yolov5-post-opencv/src/main.cpp
opencv-sample/yolov5-post-opencv/src/Makefile
opencv-sample/yolov5-post-opencv/Makefile
book@100ask:~/workspaces$ tar -xzvf ffmpeg.tar.gz 
ffmpeg/
ffmpeg/patches/
ffmpeg/patches/030-h264-mips.patch
ffmpeg/patches/050-glibc.patch
ffmpeg/patches/010-pkgconfig.patch
ffmpeg/Config.in
ffmpeg/Makefile

将解压出来的文件拷贝到tina-v853-open/openwrt/package/目录下

book@100ask:~/workspaces$ cp -rfd opencv tina-v853-open/openwrt/package/
book@100ask:~/workspaces$ cp -rfd opencv-sample tina-v853-open/openwrt/package/
book@100ask:~/workspaces$ cp -rfd ffmpeg tina-v853-open/openwrt/package/

查看该目录可看到复制过来的三个文件

book@100ask:~/workspaces$ ls tina-v853-open/openwrt/package/
allwinner  feeds  ffmpeg  opencv  opencv-sample  thirdparty

2.编译opencv和ffmpeg

进入Tina根目录下,配置Tina环境,选择100ASK_V853-PRO开发板。

book@100ask:~/workspaces$ cd tina-v853-open/
book@100ask:~/workspaces/tina-v853-open$ source build/envsetup.sh 
NOTE: The SDK(/home/book/workspaces/tina-v853-open) was successfully loaded
load openwrt... ok
Please run lunch next for openwrt.
load buildroot,bsp...ok
Please run ./build.sh config next for buildroot,bsp.
book@100ask:~/workspaces/tina-v853-open$ lunch

You're building on Linux

Lunch menu... pick a combo:
     1  v853-100ask-tina
     2  v853-vision-tina
Which would you like? [Default v853-100ask]: 1
Jump to longan autoconfig
/home/book/workspaces/tina-v853-open/build.sh autoconfig -o openwrt -i v853 -b 100ask           -n default 
========ACTION List: mk_autoconfig -o openwrt -i v853 -b 100ask -n default;========
options : 
INFO: Prepare toolchain ...
INFO: kernel defconfig: generate /home/book/workspaces/tina-v853-open/kernel/linux-4.9/.config by /home/book/workspaces/tina-v853-open/device/config/chips/v853/configs/100ask/linux-4.9/config-4.9
INFO: Prepare toolchain ...
make: Entering directory '/home/book/workspaces/tina-v853-open/kernel/linux-4.9'
*** Default configuration is based on '../../../../../device/config/chips/v853/configs/100ask/linux-4.9/config-4.9'
#
# configuration written to .config
#
make: Leaving directory '/home/book/workspaces/tina-v853-open/kernel/linux-4.9'
INFO: clean buildserver

Usage:
 kill [options] <pid> [...]

Options:
 <pid> [...]            send signal to every <pid> listed
 -<signal>, -s, --signal <signal>
                        specify the <signal> to be sent
 -l, --list=[<signal>]  list all signal names, or convert one to a name
 -L, --table            list all signal names in a nice table

 -h, --help     display this help and exit
 -V, --version  output version information and exit

For more details see kill(1).
INFO: prepare_buildserver

进入Tina的配置界面

book@100ask:~/workspaces/tina-v853-open$ make menuconfig

进入如下目录中,选中opencv-camerayolov5-post-opencv

 > lizard 
 	> opencv-sample 
 		<*> opencv-camera............ opencv camera, capture video and display to fb0             
		< > yolov5-post-opencv....................... yolov5 post process with opencv

其中opencv-camera是使用opencv通过video获取图像并显示在fb0节点上;yolov5-post-opencv为使用opencv编写的yolov5后处理程序。

​ 这里选中opencv-camera完成后保存并退出Tina配置界面。

​ 编译opencv和例程,在Tina根目录下输入make

book@100ask:~/workspaces/tina-v853-open$ make
...

等待编译完成。

编译完成后,将镜像重新烧写到开发板上。


按照教程操作,遇到了问题,pip subprocess to install build dependencies did not run successfully

python的版本是python3.8

我查看了您发的帖子,无法了解您在哪一步出现了问题,请再详细的描述一下。