def read_image(path, center=False, flip=False):
    # Data loading routine
    image = np.asarray(Image.open(path)).transpose(2, 0, 1)
    if center:
        top = left = cropwidth / 2
    else:
        top = random.randint(0, cropwidth - 1)
        left = random.randint(0, cropwidth - 1)
    bottom = model.insize + top
    right = model.insize + left

    image = image[:, top:bottom, left:right].astype(np.float32)
    image -= mean_image[:, top:bottom, left:right]
    image /= 255
    if flip and random.randint(0, 1) == 0:
        return image[:, :, ::-1]
    else:
        return image
dataset/ETHPy150Open Littel-Laboratory/homes-dataset-tools/imageKit/train_imagenet.py/read_image/original