imgread.py

import cv2

def imgread(path):
    print "Image:", path.split("/")[-1]
    # Read in the image using python opencv
    img = cv2.imread(path)
    img = img / 255.0
    print "Raw Image Shape: ", img.shape
    
    # Center crop the image
    short_edge = min(img.shape[:2])
    W, H, C = img.shape
    to_crop = min(W, H)
    cent_w = int((img.shape[1] - short_edge) / 2)
    cent_h = int((img.shape[0] - short_edge) / 2)
    img_cropped = img[cent_h:cent_h+to_crop, cent_w:cent_w+to_crop]
    print "Cropped Image Shape: ", img_cropped.shape
    
    # Resize the cropped image to 224 by 224 for VGG16 network
    img_resized = cv2.resize(img_cropped, (224, 224), interpolation=cv2.INTER_LINEAR)
    print "Resized Image Shape: ", img_resized.shape
    return img_resized