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LibArgus and CUDA interaction Libraries, Samples, and Demos

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# Argus Camera

This is a collection of sample applications which utilize various functionalities of LibArgus and CUDA.

These applications work with any Argus or Nvidia friendly cameras - as well as any i2c devices that mount properly on Ubuntu.

The collection of applications is built, or thrown together from various implementations of CUDA, LibArgus, and V4L2 functionalties found in APIs and standard documentation of those things.

The Samples Applications found in samples are good GPU benchmarking tools and be scripted easily as such.

## Included

- Argus API headers ('include/')

- Sample applications ('samples/')

- Applications ('apps/')

## Building Samples And Apps

### Requirements

- cmake
  sudo apt-get install cmake

- build-essential
  sudo apt-get install build-essential

- pkg-config
  sudo apt-get install pkg-config

- X11
  sudo apt-get install libx11-dev

- GTK3
  sudo apt-get install libgtk-3-dev

- expat
  sudo apt-get install libexpat1-dev

- JPEG
  sudo apt-get install libjpeg-dev

- gstreamer-1.0
  sudo apt-get install libgstreamer1.0-dev

- CUDA
  Samples requiring CUDA (ie. cudaHistogram and syncSensor) will be silently
  ignored during the build process if the CUDA toolkit is not installed.

Note that CUDA does not support gcc versions newer than gcc-6, so compiling
  samples that use CUDA will also require the installation of gcc-6:

sudo apt-get install gcc-6 g++-6
      sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-6 10
      sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-6 10

## Building and Installing

Start in the source directory (e.g. '~/ArgusSDK/').

1) Create and go into a build directory:
       'mkdir build && cd build'

1) Create the makefiles:
       'cmake ..'
     Additional options:
       - If CMake cannot find an include path for any dependencies, it may be
         required to provide them explicitly. Eg:
           'cmake -DOPENGLES_INCLUDE_DIR=/path/to/khronos/includes ..'
       - The DISABLE_MULTIPROCESS option may be provided to use the single-process
         Argus implementation (ie. does not require nvargus-daemon service):
           'cmake -DDISABLE_MULTIPROCESS=ON ..'

2) Build all apps (optional flag -jN for parallel build where N is the job count):
       'make [-jN]'
     Alternatively, build individual executables:
       'make [-jN] argus_openglbox'

3) Install:
       'sudo make install'

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