Ubuntu 安裝 exiv2, 開發 exif 相關程式

參考 https://github.com/Exiv2/exiv2/tree/main

參考 https://github.com/Exiv2/exiv2/tree/main#PlatformLinux

download cmake from https://cmake.org/download/

$ tar xvfz cmake-3.27.6.tar.gz

$ cd cmake-3.27.6

$ sudo apt-get install libssl-dev

$ ./bootstrap

$ make -j4

$ sudo make install

$ git clone https://github.com/Exiv2/exiv2.git

$ cd exiv2

$ sudo apt-get install --yes build-essential ccache clang cmake git google-mock libbrotli-dev libcurl4-openssl-dev libexpat1-dev libgtest-dev libinih-dev libssh-dev libxml2-utils libz-dev python3 zlib1g-dev

$ cmake -S . -B build -G "Unix Makefiles"

$ cmake --build build

$ ctest --test-dir build --verbose

$ sudo cmake --install build

$ g++ -o exifprint exifprint.cpp -lexiv2

使用 sudo 不輸入密碼

增加可以 reboot 的 myuser

$ sudo deluser myuser

$ adduser myuser

$ sudo gpasswd -a myuser sudo

$ echo "myuser ALL = NOPASSWD: /usr/sbin/reboot" | sudo tee /etc/sudoers.d/60_myuser

$ sudo chmod 0440 /etc/sudoers.d/60_myuser

若不幸輸入錯字，會產生如下錯誤

>>> /etc/sudoers: syntax error near line 24 <<<

sudo: parse error in /etc/sudoers near line 24

sudo: no valid sudoers sources found, quitting

sudo: unable to initialize policy plugin

使用下列方法修復

$ pkexec visudo

What now? 會停在此處，別怕按下 Enter

Options are:

  (e)dit sudoers file again

  e(x)it without saving changes to sudoers file

  (Q)uit and save changes to sudoers file (DANGER!)

使用 ssh 不用輸入密碼

hostA$ ssh-keygen

hostA$ ssh-copy-id "user@hostB -p 22"

hostA$ ssh user@hostB "command.sh arg1 arg2"

gstreamer fpsdisplaysink videorate

$ export URI=rtsp://root:A1234567@192.168.112.202:554/live1s1.sdp

$ export GST_DEBUG=fpsdisplaysink:5

利用 videotestsrc 測試 fpsdisplaysink

$ gst-launch-1.0 videotestsrc ! 'video/x-raw,width=1280,height=720,framerate=60/1' ! videoconvert ! fpsdisplaysink text-overlay=true

fpsdisplaysink 不使用 text-overlay

$ gst-launch-1.0 rtspsrc location=$URI protocols=tcp+udp ! application/x-rtp, media=video ! decodebin  ! nvvideoconvert ! nvegltransform ! fpsdisplaysink text-overlay=0 video-sink=nveglglessink

fpsdisplaysink 使用 text-overlay

$ gst-launch-1.0 rtspsrc location=$URI protocols=tcp+udp ! application/x-rtp, media=video ! decodebin  ! nvvideoconvert ! fpsdisplaysink text-overlay=1 video-sink=autovideosink

利用 videorate 設定 framerate

$ gst-launch-1.0 rtspsrc location=$URI protocols=tcp+udp ! application/x-rtp, media=video ! decodebin ! nvvideoconvert ! videorate ! video/x-raw,framerate=60/1 ! nvvideoconvert ! fpsdisplaysink text-overlay=1 video-sink=autovideosink

加入 rtpjitterbuffer,  但好像沒用

$ gst-launch-1.0 rtspsrc location=$URI protocols=tcp+udp ! application/x-rtp, media=video ! rtpjitterbuffer latency=0 ! decodebin  ! nvvideoconvert ! fpsdisplaysink text-overlay=1 video-sink=autovideosink

不顯示, 但從 log 中可查看出 fps

$ gst-launch-1.0 rtspsrc location=$URI protocols=tcp+udp ! application/x-rtp, media=video ! decodebin  ! nvvideoconvert ! fpsdisplaysink text-overlay=0 video-sink=fakesink

輸出

:00:02.590692019 1665816 0xffff6001d700 DEBUG         fpsdisplaysink fpsdisplaysink.c:372:display_current_fps:<fpsdisplaysink0> Updated max-fps to 1.102534

0:00:02.590778644 1665816 0xffff6001d700 DEBUG         fpsdisplaysink fpsdisplaysink.c:376:display_current_fps:<fpsdisplaysink0> Updated min-fps to 1.102534

$ gst-launch-1.0 rtspsrc location=$URI protocols=tcp+udp ! application/x-rtp, media=video ! decodebin  ! nvvideoconvert ! videorate ! video/x-raw,framerate=60/1 ! nvvideoconvert ! fpsdisplaysink text-overlay=0 video-sink=fakesink

ubuntu 多網卡之 default route

$ cd /etc/NetworkManager/system-connections/

編輯相對網卡的檔案, 在 [ipv4] 下, 加入 route

$ sudo vi 'Wired connection 1.nmconnection'

[ipv4]

route1=0.0.0.0/0,192.168.0.254,1

install pytorch in ubuntu

參考 PyTorch 官方網站

參考 安裝舊版本

參考 安裝版本文件

$ python3 -m venv pytorch

$ source pytorch/bin/activate

$ pip3 install --upgrade --no-cache-dir pip

$ sudo update-alternatives --config cuda

$ pip3 install torch==1.10.2+cu113 torchvision==0.11.3+cu113 torchaudio==0.10.2+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html

DeepStream 之 nvinfer(primary mode) 執行 classifier, 使用在 ROI 上

試了很久, 無法利用 nvdspreprocess 的 ROI 放在 nvinfer 之前

參考 How to run classifier in primary mode only in specific ROI? 

發現直接使用 nvvideoconvert 的 ROI 可以正常運作

參數設定 src-crop="left:top:width:height", 如

g_object_set(G_OBJECT(pre_proc), "src-crop", "50:0:320:240", NULL);