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Deprecated

This poject is no longer maintained. See [FoxMask](https://github.com/edevost/foxmask) for the updated and actively developed version.

pyclassifier2

Python classifier to analyse images and count objects based on background detection and subtraction.

Software structure

This sofware consist of two main python components

  • generatemasks.py
  • foxcountRW.py

and two cpp libraries

  • background_estimation_code
  • foreground_detection_code

Python installation

Documenting installation on Manjaro linux.

Needed libraries

  • Open CV

sudo pacman -Sy opencv

  • python-pyexiftool

yaourt python-pyexiftool

  • python-pandas

sudo pacman -Sy python2-pandas

  • python-matplotlib

sudo pacman -Sy python2-matplotlib

  • python2-xlrd

sudo pacman -Sy python2-xlrd

  • python2-scipy

sudo pacman -Sy python2-scipy

CPP libraries installation

Needed libraries

  • armadillo

yaourt armadillo

To compile background_estimation_code on manjaro/archlinux

  • cd cpplibs/background_estimation_code

g++ -L/usr/lib64 -L/usr/lib -I/usr/include -I/usr/include/opencv main.cpp SequentialBge.cpp SequentialBgeParams.cpp -O3 -larmadillo -lopencv_core -lopencv_highgui -fopenmp -o "EstimateBackground"

To compile foreground_detection_code on manjaro/archlinux

  • cd cpplibs/foreground_estimation_code

g++ -o ForegroundSegmentation main.cpp input_preprocessor.cpp -O2 -fopenmp -I/usr/include/opencv -I/usr/include/opencv -L/usr/lib64 -L/usr/lib -larmadillo -lopencv_core -lopencv_highgui -lopencv_imgproc

Usage

You first need to generate the masks with generatemasks.py. Once you have your masks, you can run foxcountRW.py on theses masks. See code for detailed documentation.