python给人脸戴墨镜

可以使用Python中的OpenCV库来给人脸戴墨镜。具体步骤如下：

1. 导入必要的库：

import cv2
import numpy as np

2. 加载人脸识别分类器：

face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

3. 加载墨镜图片并进行透明化处理：

glasses = cv2.imread('glasses.png', -1)
glasses = cv2.resize(glasses, (200, 100))
g_alpha = glasses[:, :, 3] / 255.0
g_alpha = cv2.merge((g_alpha, g_alpha, g_alpha))
glasses = glasses[:, :, 0:3]

4. 定义函数来给人脸戴上墨镜：

def put_glasses(img, x, y, w, h):
    glasses_width = int(w * 1.5)
    glasses_height = int(h / 2)
    glasses_x = int(x - (glasses_width - w) / 2)
    glasses_y = int(y + h / 2 - glasses_height / 2)
    roi = img[glasses_y:glasses_y + glasses_height, glasses_x:glasses_x + glasses_width]
    glasses_resized = cv2.resize(glasses, (glasses_width, glasses_height))
    glasses_alpha_resized = cv2.resize(g_alpha, (glasses_width, glasses_height))
    bg = roi * (1 - glasses_alpha_resized)
    fg = glasses_resized * glasses_alpha_resized
    img[glasses_y:glasses_y + glasses_height, glasses_x:glasses_x + glasses_width] = bg + fg

5. 读取图片并进行人脸识别：

img = cv2.imread('face.png')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)

6. 对每个人脸进行戴墨镜操作：

for (x, y, w, h) in faces:
    put_glasses(img, x, y, w, h)

7. 显示结果：

cv2.imshow('image', img)
cv2.waitKey(0)
cv2.destroyAllWindows()

完整代码如下：

import cv2
import numpy as np

face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

glasses = cv2.imread('glasses.png', -1)
glasses = cv2.resize(glasses, (200, 100))
g_alpha = glasses[:, :, 3] / 255.0
g_alpha = cv2.merge((g_alpha, g_alpha, g_alpha))
glasses = glasses[:, :, 0:3]


def put_glasses(img, x, y, w, h):
    glasses_width = int(w * 1.5)
    glasses_height = int(h / 2)
    glasses_x = int(x - (glasses_width - w) / 2)
    glasses_y = int(y + h / 2 - glasses_height / 2)
    roi = img[glasses_y:glasses_y + glasses_height, glasses_x:glasses_x + glasses_width]
    glasses_resized = cv2.resize(glasses, (glasses_width, glasses_height))
    glasses_alpha_resized = cv2.resize(g_alpha, (glasses_width, glasses_height))
    bg = roi * (1 - glasses_alpha_resized)
    fg = glasses_resized * glasses_alpha_resized
    img[glasses_y:glasses_y + glasses_height, glasses_x:glasses_x + glasses_width] = bg + fg


img = cv2.imread('face.png')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)

for (x, y, w, h) in faces:
    put_glasses(img, x, y, w, h)

cv2.imshow('image', img)
cv2.waitKey(0)
cv2.destroyAllWindows()