KV260视觉入门套件smartcamera体验

一、基础环境 硬件：KV260视觉入门套件 摄像头：海康720P USB摄像头（因为部署Vitis AI之后懒得poweroff插MIPI camera了，直接USB上） 软件：Ubuntu 22.04 + Vitis AI v3.0 root@kria:~# uname -a Linux kria 5.15.0-1020-xilinx-zynqmp #22-Ubuntu SMP Fri Feb 2414:14:20 UTC 2023 aarch64 aarch64 aarch64 GNU/Linux root@kria:~# 二、初步体验 Vitis AI 3.0的用户手册如下，基本概念和指南很清晰，只需要一步一步照着做即可。 Vitis AI — Vitis™ AI 3.0 documentation (xilinx.github.io) 先拿smartcam来开刀，展示下具体流程，先apt update/upgrade全部走一遍。 （一）Docker安装&配置 Vitis AI v3.0通过Docker部署，故需要安装&配置Docker环境。 apt install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin 随后验证安装是否成功： 因为一直root，所以可以忽略Docker用户权限。 之后添加国内Docker镜像源，否则2.4G的smartcam镜像一晚上根本下不完。 先在/etc/docker/ 目录下增加daemon.json文件，将国内镜像源加进去，文件内容如下： { "registry-mirrors": [ "https://ccr.ccs.tencentyun.com", "https://docker.mirrors.ustc.edu.cn", "https://hub-mirror.c.163.com", "https://mirror.baidubce.com", "https://registry.docker-cn.com" ] } 之后service docker restart重启Docker服务，再docker info检查是否OK，差不多就是下面的样子： Cgroup Version: 2 Plugins: Volume: local Network: bridge host ipvlan macvlan null overlay Log: awslogs fluentd gcplogs gelf journald json-file local logentries splunk syslog Swarm: inactive Runtimes: io.containerd.runc.v2 runc Default Runtime: runc Init Binary: docker-init containerd version: 8165feabfdfe38c65b599c4993d227328c231fca runc version: v1.1.8-0-g82f18fe init version: de40ad0 Security Options: apparmor seccomp Profile: builtin cgroupns Kernel Version: 5.15.0-1023-xilinx-zynqmp Operating System: Ubuntu 22.04.3 LTS OSType: linux Architecture: aarch64 CPUs: 4 Total Memory: 3.814GiB Name: kria ID: d0241500-7aff-4090-bba3-e961db7c1818 Docker Root Dir: /var/lib/docker Debug Mode: false Experimental: false Insecure Registries: 127.0.0.0/8 Registry Mirrors: https://ccr.ccs.tencentyun.com/ https://docker.mirrors.ustc.edu.cn/ https://hub-mirror.c.163.com/ https://mirror.baidubce.com/ https://registry.docker-cn.com/ Live Restore Enabled: false （二）配置Vitis AI 先添加Xilinx软件包源，通过add-apt-repository ppa:xilinx-apps/ppa和add-apt-repository ppa:ubuntu-xilinx/updates两个cmd设置额外的apt repository。 之后，apt update更新所有package。 root@kria:~/Vitis-AI# apt update Hit:1 https://download.docker.com/linux/ubuntu jammy InRelease Hit:2 http://ports.ubuntu.com/ubuntu-ports jammy InRelease Hit:3 http://ports.ubuntu.com/ubuntu-ports jammy-updates InRelease Hit:4 http://oem.archive.canonical.com/updates jammy-limerick InRelease Hit:5 https://ppa.launchpadcontent.net/ubuntu-xilinx/sdk/ubuntu jammy InRelease Hit:6 http://ports.ubuntu.com/ubuntu-ports jammy-backports InRelease Hit:7 http://ports.ubuntu.com/ubuntu-ports jammy-security InRelease Hit:8 https://ppa.launchpadcontent.net/ubuntu-xilinx/updates/ubuntu jammy InRelease Hit:9 https://ppa.launchpadcontent.net/xilinx-apps/ppa/ubuntu jammy InRelease Reading package lists... Done Building dependency tree... Done Reading state information... Done 5 packages can be upgraded. Run 'apt list --upgradable' to see them. root@kria:~/Vitis-AI# apt upgrade Reading package lists... Done Building dependency tree... Done Reading state information... Done Calculating upgrade... Done Get more security updates through Ubuntu Pro with 'esm-apps' enabled: python2.7-minimal libjs-jquery-ui libopenexr25 libavcodec58 libavutil56 libswscale5 libswresample3 libavformat58 python2.7 libpython2.7-minimal libpython2.7-stdlib Learn more about Ubuntu Pro at https://ubuntu.com/pro The following packages have been kept back: gjs libgjs0g libsmbclient libwbclient0 samba-libs 0 upgraded, 0 newly installed, 0 to remove and 5 not upgraded. 后续，继续apt install xlnx-firmware-kv260-smartcam下载smartcam固件。 root@kria:~/Vitis-AI# apt install xlnx-firmware-kv260-smartcam Reading package lists... Done Building dependency tree... Done Reading state information... Done The following NEW packages will be installed: xlnx-firmware-kv260-smartcam 0 upgraded, 1 newly installed, 0 to remove and 5 not upgraded. Need to get 2973 kB of archives. After this operation, 7921 kB of additional disk space will be used. Get:1 https://ppa.launchpadcontent.net/xilinx-apps/ppa/ubuntu jammy/main arm64 xlnx-firmware-kv260-smartcam arm64 0.9-0xlnx1 [2973 kB] Fetched 2973 kB in 4s (727 kB/s) Scanning processes... Restarting services...ocessor microcode upgrades. Package configuration 通过xmutil命令xmutil listapps查看： Active_slot为0的表示正在运行，可以xmutil unloadapp停止掉，这之前还要xmutil desktop_disable禁用桌面，奇怪的是xmutil unloadapp运行后，风扇狂转，按理来说停止服务应该资源消耗变小了，可是fan那么激动做啥？ 还有个提醒memory leak的ERROR，有知道的大佬吗？ root@kria:~/Vitis-AI# xmutil unloadapp [ 8191.766515] OF: ERROR: memory leak, expected refcount 1 instead of 2, of_node_get()/of_node_put() unbalanced - destroy cset entry: attach overlay node /axi/zyxclmm_drm [ 8191.781699] OF: ERROR: memory leak before free overlay changeset, /axi/isp_vcap_csi/ports/port@0/endpoint [ 8191.793445] OF: ERROR: memory leak, expected refcount 1 instead of -1073741824, of_node_get()/of_node_put() unbalanced - destroy cset entry: attach overlay node /axi/isp_vcap_csi/ports/port@0/endpoint [ 8191.811821] OF: ERROR: memory leak before free overlay changeset, /axi/scaler@b0100000/ports/port@1/endpoint [ 8191.821849] OF: ERROR: memory leak, expected refcount 1 instead of -1073741824, of_node_get()/of_node_put() unbalanced - destroy cset entry: attach overlay node /axi/scaler@b0100000/ports/port@1/endpoint [ 8191.840101] OF: ERROR: memory leak before free overlay changeset, /axi/scaler@b0100000/ports/port@0/endpoint [ 8191.850111] OF: ERROR: memory leak, expected refcount 1 instead of -1073741824, of_node_get()/of_node_put() unbalanced - destroy cset entry: attach overlay node /axi/scaler@b0100000/ports/port@0/endpoint [ 8191.868361] OF: ERROR: memory leak, expected refcount 1 instead of 2, of_node_get()/of_node_put() unbalanced - destroy cset entry: attach overlay node /axi/scaler@b0100000/ports [ 8191.884328] OF: ERROR: memory leak before free overlay changeset, /axi/csiss@80000000/ports/port@1/endpoint [ 8191.894253] OF: ERROR: memory leak, expected refcount 1 instead of -1073741824, of_node_get()/of_node_put() unbalanced - destroy cset entry: attach overlay node /axi/csiss@80000000/ports/port@1/endpoint [ 8191.912406] OF: ERROR: memory leak before free overlay changeset, /axi/csiss@80000000/ports/port@0/endpoint [ 8191.922328] OF: ERROR: memory leak, expected refcount 1 instead of -1073741824, of_node_get()/of_node_put() unbalanced - destroy cset entry: attach overlay node /axi/csiss@80000000/ports/port@0/endpoint [ 8191.940542] OF: ERROR: memory leak, expected refcount 1 instead of 2, of_node_get()/of_node_put() unbalanced - destroy cset entry: attach overlay node /axi/i2c@80030000/i2c-mux@74/i2c@0/isp@3c/sensors/sensor@0 remove from slot 0 returns: 0 (Ok) （三）启动Docker 先下载xilinx/smartcam的Docker IMG，通过docker pull xilinx/smartcam命令。 root@kria:~/Vitis-AI# docker pull xilinx/smartcam Using default tag: latest latest: Pulling from xilinx/smartcam 00f50047d606: Pull complete d7951c234d55: Pull complete 05265a2d1f35: Pull complete 90b46a25b424: Pull complete 80e164c37cc5: Pull complete 3d8f42a1f194: Pull complete b98fe3f03a5b: Pull complete 59a6d05de11d: Pull complete c3201d2e9455: Pull complete 5a86aa1eda97: Pull complete 1c16e9132328: Pull complete d5655ba163b7: Pull complete 3044adb41328: Pull complete f5dc15e1f4ef: Pull complete Digest: sha256:da2e52629011aeec332152a0f468d3ff156917dba9b596cf6d0de958d5dc29d7 Status: Downloaded newer image for xilinx/smartcam:latest docker.io/xilinx/smartcam:latest 用了国内的源，速度就是快，很快就下载完成。再看看imgs： root@kria:~/Vitis-AI# docker images REPOSITORY TAG IMAGE ID CREATED SIZE hello-world latest b038788ddb22 4 months ago 9.14kB xilinx/smartcam latest aa0270aef908 11 months ago 1.41GB 通过命令启动xilinx/smartcam镜像， 此时root@xlnx-docker:/# 提示进入Docker环境。 三、运行 如文章之初所说，因为部署Vitis AI之后懒得poweroff插MIPI camera了（直接带电插MIPI camera又感觉有风险），那就直接USB camera上吧。 先确定USB camera的名字，通过拔插USB摄像头确定是/dev/media1，为什么不是/dev/video*？一个问号。 root@xlnx-docker:/# ls /dev/media* /dev/media0 /dev/media1 本来想smartcam --usb=1 -W 640 -H 480 --target=dp，接上HDMI显示器后不能显示，貌似显示器不支持这个分辨率，为什么是640X480这个奇葩的分辨率，是因为海康USB摄像头为720P，所以选了个摄像头支持的分辨率。 root@xlnx-docker:/# smartcam --usb=1 -W 640 -H 480 --target=dp Resize: mean_r=128.000000 Resize: mean_g=128.000000 Resize: mean_b=128.000000 Resize: scale_r=1.000000 Resize: scale_g=1.000000 Resize: scale_b=1.000000 [ 9484.157137] zynqmp-display fd4a0000.display: Layer width:height must be 640:480 [ 9484.187386] zynqmp-display fd4a0000.display: Layer width:height must be 640:480 [ 9484.202081] zynqmp-display fd4a0000.display: Layer width:height must be 640:480 [ 9484.224098] zynqmp-display fd4a0000.display: Layer width:height must be 640:480 [ 9484.264872] zynqmp-display fd4a0000.display: Layer width:height must be 640:480 那就RTSP吧，smartcam --usb=1 -W 640 -H 480 --target=rtsp伺候： root@xlnx-docker:/# smartcam --usb=1 -W 640 -H 480 --target=rtsp stream ready at: rtsp://172.17.0.1:554/test rtsp://192.168.99.238:554/test 用支持RTSP的播放器再同一网段内连接，本人头像就不照了，刚好在刷抖音，刷个人脸来看看。 效果不错，最后，来一张合影,基本上各种线缆都接上了。