Please refer to each of the scripts for more information on how the code works or how to run the code.
image_link_downloader.py - downloads sample images from Image-Net for positive and negative sames into their respective folders.
find_trash.py - finds certain images and removes them from the samples, this compares the images in the trash directory with either the positive or negative directories. This helps clean up unwanted images in either pools.
descriptors.py - file generates the positive and negative descriptors for each sample pool without having to manually create it.
beta.py - file performs real-time object detection using the webcam.