saliency_opencv's Introduction

saliency_opencv

Reusing the OpenCV's Saliency algorithms for research purpose

Directions to install OpenCV 3.1.0 with OpenCV_contrib modules

Do this step by step

sudo apt-get install build-essential
sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev
git clone https://github.com/Itseez/opencv.git
git clone https://github.com/Itseez/opencv_contrib.git
cd opencv
mkdir release
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D OPENCV_EXTRA_MODULES_PATH=source_directory/opencv_contrib/modules source_directory/opencv/
make -j6
sudo make install

Check the installation by typing the following command

pkg-config --modversion opencv

This should show the version of your openCV. Hopefully 3.1.0.

Lets try out the Saliency Example now. Clone this directory

git clone https://github.com/surjithbs17/saliency_opencv.git
git checkout master

Make the file using CMAKE

cd saliency_opencv
Run "cmake ."
Run "make"
Execute the code by typing "./saliency airplane.mp4 MOTION threshold_value"

Example commands:

./saliency DRONE-NET_TEST-10-29-16.mp4 STATIC 200
./saliency DRONE-NET_TEST-10-29-16.mp4 MOTION 200

This should show four outputs(Original Video frame, SaliencyMap(Spectral Residual and Motion saliency), binarymap(extracted from saliency map),thresholded binary map(Thresholded according to input arguments on SaliencyMap) and background subtracted(MOG).

Reference:

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