to recognize gestures made by hand , images classified using squeezenet
Using Canny Edge detection to clear out the noise from the images . import cv2 import numpy as np from matplotlib import pyplot as plt
img = cv2.imread('messi5.jpg',0) edges = cv2.Canny(img,100,200)
To train your own nn Go to res-> image_collector.py Change the class map in train.py and test.py suitably then run train.py.
To test your model , run test.py