Pietro-PPC/ml_training

K-NN Machine learning training

This project uses the PKLot dataset.

To get started, create a data directory in the root directory of this project, download the dataset and unpack it inside data.

$ mkdir data ; cd data
$ wget http://www.inf.ufpr.br/vri/databases/PKLot.tar.gz
$ tar -xf PKLot.tar.gz

You should also install the opencv and boost c++ libraries.

Usage

Before compiling, you should open the main.cpp file and set THREAD_NUM global variable to the number of threads to be used in the KNN testing phase.

Then, compile it with CMake and make. Finally, run the main binary file.

$ cmake .
$ make
$ ./main