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Computer vision and deep learning implementations

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cv

Usage of classical computer vision techniques or machine/deep learning for:

  • Image processing operations
  • Feature extraction
  • Object recognition
  • Classification

Building (macOS)

Required packages: cmake pkg-config wget jpeg libpng libtiff openexr eigen tbb hdf5

Venv & OpenCV setup: make setup

Building (linux)

sudo add-apt-repository "deb http://security.ubuntu.com/ubuntu xenial-security main"

build-essential checkinstall cmake pkg-config yasm gfortran libjpeg8-dev libpng-dev libjasper1 libjasper-dev libtiff-dev libavcodec-dev libavformat-dev libswscale-dev libdc1394-22-dev libxine2-dev libv4l-dev libgstreamer1.0-dev libgstreamer-plugins-base1.0-dev libgtk2.0-dev libtbb-dev qt5-default libatlas-base-dev libfaac-dev libmp3lame-dev libtheora-dev libvorbis-dev libxvidcore-dev libopencore-amrnb-dev libopencore-amrnb-dev libavresample-dev x264 v4l-utils libeigen3-dev libhdf5-dev

Running

make run SRC={script path} PARAMS={optional params}

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