This project is about optimizing the weights of a computational framework that detects salient objects in camera frames.

• The algorithm used for optimization is a Genetic Algorithm.
• The weights [w_1, w_2, w_3] are represented in binary strings.
• The objective function used is the Euclidean Distance between the color images and their equivalent groundtruth in the SED1 and SED2 databases.
• The parents are selected using Tournament Selection.
• A 2-point Crossover is implemented.
• Flip-bit Mutation is implemented.

The framework is implemented in C++. The following libraries are used:

• C++ Standard
• xtensor
• OpenCV

You can compile the code with:

g++ -I "/home/usr/ProjectDirectory/xtl/include" -o myGAsaliency my_GA_saliency_framework.cpp `pkg-config opencv --cflags --libs`