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Viola and Jones Object Detection Framework (C++)


This is an implementation of the [Viola and Jones Object Detection Framework][1] in C++. It has been particularly optimized for the face detection paradigm:
  • Horizontal flipping face sample images in training phase.
  • Rotating negative sample images in training phase.
  • 4 Haar features implemented.
  • Integral image for faster processing.
  • Post-normalization speedup.
  • Scale invariant (feature scaling).

Installation --------------
git clone https://github.com/alexdemartos/ViolaAndJones.git violaandjones
cd violaandjones/src
g++ -std=c++0x -lpng -O3 Feature.cpp WeakClassifier.cpp StrongClassifier.cpp CascadeClassifier.cpp main.cpp -o vandj `libpng-config --ldflags`
chmod +x vandj

Usage

  • Run ./vandj without arguments to see the options.
  • No classification models are provided for object/face detection, you must train your own.
  • No images nor training samples are provided.

Example

I've used this program to train a face detection algorithm. Here are some results:

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Viola and Jones Object Detection Framework in C++

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  • C++ 99.7%
  • Shell 0.3%