cnn_util.py 文件源码

def crop_image(x, target_height=227, target_width=227, as_float=True):
    image = skimage.io.imread(x)
    if as_float:
        image = skimage.img_as_float(image).astype(np.float32)

    print(len(image.shape))
    if len(image.shape) == 2:
        image = np.tile(image[:, :, None], 3)
    elif len(image.shape) == 4:
        image = image[:, :, :, 0]

    height, width, rgb = image.shape
    if width == height:
        resized_image = np.resize(image, (target_height,target_width))

    elif height < width:
        resized_image = np.resize(image, (int(width * float(target_height)/height), target_width))
        cropping_length = int((resized_image.shape[1] - target_height) / 2)
        resized_image = resized_image[:,cropping_length:resized_image.shape[1] - cropping_length]

    else:
        resized_image = np.resize(image, (target_height, int(height * float(target_width) / width)))
        cropping_length = int((resized_image.shape[0] - target_width) / 2)
        resized_image = resized_image[cropping_length:resized_image.shape[0] - cropping_length,:]

    return np.resize(resized_image, (target_height, target_width))