，

用PIL库进行抠图

python from PIL import Image, ImageFilter

im_origin = Image.open

mask = Image.open.convert

mask = mask.resize

mask = mask.filter)

result = Image.composite), mask)

result.save

用OpenCV进行抠图

python import cv2 import numpy as np

image = cv2.imread mask = cv2.imread

_, mask = cv2.threshold

bgdModel = np.zeros, np.float64) fgdModel = np.zeros, np.float64) cv2.grabCut

output = np.where | , image, np.zeros)

cv2.imwrite

用深厚度学进行抠图

这通常涉及到训练一个神经网络模型，比如用TensorFlow或PyTorch。

python

import tensorflow as tf

model = tf.keras.models.load_model

preprocessedimage = preprocessimageformodel

matte = model.predict

finalmatte = postprocessmatte

save_image

注意：实际中，深厚度学抠图需要准备一巨大堆的训练数据，设计合适的，进行训练和验证。