本文实例为大家分享了python实现抠图的具体代码，供大家参考，具体内容如下

其中使用了opencv中的grabcut方法

直接上代码

# encoding:utf-8

# 图像提取

# create by

import numpy as np

import cv2

from matplotlib import pyplot as plt

img = cv2.imread('1.jpg')

mask = np.zeros(img.shape[:2], np.uint8)

bgdModel = np.zeros((1, 65), np.float64)

fgdModel = np.zeros((1, 65), np.float64)

rect = (20, 20, 413, 591)

cv2.grabCut(img, mask, rect, bgdModel, fgdModel, 10, cv2.GC_INIT_WITH_RECT)

mask2 = np.where((mask == 2) | (mask == 0), 0, 1).astype('uint8')

img = img * mask2[:, :, np.newaxis]

img += 255 * (1 - cv2.cvtColor(mask2, cv2.COLOR_GRAY2BGR))

# plt.imshow(img)

# plt.show()

img = np.array(img)

mean = np.mean(img)

img = img - mean

img = img * 0.9 + mean * 0.9

img /= 255

plt.imshow(img)

plt.show()

以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持脚本之家。