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Files to install deep learning

 

Fichiers Gstreamer, OpenCV et Qt

       
  Install Gstreamer-1.0...    
       
  Gstreamer plugins to install see below procedure    
 

gst-plugins-ugly
gst-plugins-base
gst-plugins-good
gst-plugins-bad

gst-libav
gst-plugins-vaapi

rtsp-server

   
       
  Gstreamer installation    
 
sudo apt update

sudo apt-get install --reinstall gstreamer1.0-alsa gstreamer1.0-libav gstreamer1.0-plugins-bad gstreamer1.0-plugins-base gstreamer1.0-plugins-good gstreamer1.0-plugins-ugly gstreamer1.0-pulseaudio libgstreamer-plugins-bad1.0-0 libgstreamer-plugins-base1.0-0 libgstreamer-plugins-good1.0-0 libgstreamer1.0-0

sudo apt-get install gstreamer1.0-vaapi
sudo apt install gir1.2-gst-rtsp-server-1.0
sudo apt-get build-dep libav-tools
sudo apt-get install libpulse-dev
sudo apt-get install build-essential libgl1-mesa-dev
   
       
 
sudo apt-get install -y --force-yes build-essential autotools-dev automake autoconf \
libtool autopoint libxml2-dev zlib1g-dev libglib2.0-dev \
pkg-config bison flex python3 git gtk-doc-tools libasound2-dev \
libgudev-1.0-dev libxt-dev libvorbis-dev libcdparanoia-dev \
libpango1.0-dev libtheora-dev libvisual-0.4-dev iso-codes \
libgtk-3-dev libraw1394-dev libiec61883-dev libavc1394-dev \
libv4l-dev libcairo2-dev libcaca-dev libspeex-dev libpng-dev \
libshout3-dev libjpeg-dev libaa1-dev libflac-dev libdv4-dev \
libtag1-dev libwavpack-dev libpulse-dev libsoup2.4-dev libbz2-dev \
libcdaudio-dev libdc1394-22-dev ladspa-sdk libass-dev \
libcurl4-gnutls-dev libdca-dev libdvdnav-dev \
libexempi-dev libexif-dev libfaad-dev libgme-dev libgsm1-dev \
libiptcdata0-dev libkate-dev libmimic-dev libmms-dev \
libmodplug-dev libmpcdec-dev libofa0-dev libopus-dev \
librsvg2-dev librtmp-dev \
libsndfile1-dev libsoundtouch-dev libspandsp-dev libx11-dev \
libxvidcore-dev libzbar-dev libzvbi-dev liba52-0.7.4-dev \
libcdio-dev libdvdread-dev libmad0-dev libmp3lame-dev \
libmpeg2-4-dev libopencore-amrnb-dev libopencore-amrwb-dev \
libsidplay1-dev libtwolame-dev libx264-dev libusb-1.0 \
python-gi-dev yasm python3-dev libgirepository1.0-dev
   
  Note: it may be necessary to recompile libav if the opencv version is newer.    
  Installer OpenCV-3.4.0+.    
  Script d' installation Ignacio López Quintero    
 
A new version of managerIPs integrating Deep Learning technology
is in development, it is advisable to install the openCV 3.4.0 version
in this context. The application has been compiled with OpenCV 3.4.0
The installation script was tested on a clean version of ubuntu - studio - 17.10 and ran normally.


Uninstall if earlier version.
sudo apt-get autoremove libopencv-dev python-opencv
sudo apt-get purge libopencv-* python-data python-opencv
Important:
In the installation directory, delete any reference or directory from an old OpenCV installation.

click install-opencv.sh and save the file to a directory of your choice ... (~ / src /)

In this directory click right open a terminal and right click on the file
-> permission-> permit
this file to be executed as a program.
script install-opencv.sh

in a terminal and in the selected directory

bash install-opencv-3.4.0.sh
   
  Use sudo cmake-gui if for some mysterious reason the installation was not done.    
 
Unchecked ENABLE_PRECOMPILED_HEADER.
Check if a dependency is missing and click on generate.
In the build directory,
sudo make && make install.
   
 

Install Qt libraries

   
 
wget http://download.qt.io/official_releases/qt/5.9/5.9.0/qt-opensource-linux-x64-5.9.0.run
chmod +x qt-opensource-linux-x64-5.9.0.run ./qt-opensource-linux-x64-5.9.0.run
sudo apt-get install build-essential
sudo apt-get install libfontconfig1
sudo apt-get install mesa-common-dev
sudo apt-get install libglu1-mesa-dev -y
   
 

Install arp-scan and / or nmap

sudo apt-get install arp-scan
sudo apt-get install nmap

If openssl is not installed:
sudo apt
-get install libssl-dev
   
 

   
 
Very Important: yolo.weights (203.9 MB) is no longer integrated in the directory darknet, in this directory execute the command:

wget https://pjreddie.com/media/files/yolo.weights

You can edit the yolo detection files and select others, if you have some control over the subject.
You have an nvidia graphics card and you have installed CUDA (not always simple):
In the darknet directory, modify makefile


GPU=1
Recompile with the instruction make.

   
  TIPS:

Put yourself in the nManagerIPs directory and open a terminal.
Run the application with the ./nManagerIPs command, if a dependency is missing,
you will be able to identify it.
or ldd nManagerIPs.
Install missing libraries using synaptic.
   
       

 

 
 
 
 
 

Please publish modules in offcanvas position.

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