Tomato_Classification

grabcut.py: Do background removal

feature_extraction.py: image to be resized, converted to HSV, removed background, and measured color histogram. Each histogram will be stored to .npy file and labeled in file label.csv

main.py: handle traning and evaluating for tomato color classification network

image_testing.py: Test trained model with a wild image