crop_and_preprocess.py

def crop_imag(imageFilePath: str, shakerange=20, shake_on=None):
    '''Crop 1100x1100 images to 224X224.  Optionally shake from center-crop
    location (438,438,662,662).  Return 224X224 image.'''
    from PIL import Image
    im = Image.open(imageFilePath)
    rix = random.randint(-shakerange, shakerange) #get random int for x1, x2
    riy = random.randint(-shakerange, shakerange) #get random int for y1, y2
    if shake_on == True:
        shaken_centercrop = (438+rix, 438+riy, 662+rix, 662+riy) 
        imCropped = im.crop(shaken_centercrop) #im.crop(x1, y1, x2, y2) - (x1,y1) top-left coord; (x2,y2) bottom-right coord
    else:
        centercrop = (438, 438, 662, 662)
        imCropped = im.crop(centercrop)    
    return imCropped

def preprocess_3d_image(imPath: str):
    '''Preprocess PIL format image for VGG16.'''
    from tensorflow.keras.preprocessing import image
    from tensorflow.keras.applications.vgg16 import preprocess_input    
    img = image.load_img(imPath)         #load image into PIL format
    arr = image.img_to_array(img)        #convert to np.array
    arr = preprocess_input(arr)          #covert to BGR and zero-center color channels for VGG16
    return image.array_to_img(arr)       #return processed img