This code classifies a set of instruments given as a set of images.
-To test: python testing.py the result of classification is the image output.jpg i in /test directory
-To train: python training.py and manually label the instruments (only numbers accepted)
-To validate the dataset and print the confusion matrix: python validate.py
-Directories:
--/storage used to store all features *.npy they correspond to the contours of the instruments after being normalized by rotation
--/test place the image that you want to tes
--/images images used for training