python - 尝试仅模糊脸部(python)

Question

我尝试使用以下脚本仅模糊脸部，但最终模糊了整个图像。关于如何更改脚本以仅模糊脸部的任何建议？

import numpy as np
import cv2

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

img = cv2.imread('beatles.jpg')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

# Detecting faces
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
for (x,y,w,h) in faces:
    img = cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
    roi_gray = gray[y:y+h, x:x+w]
    roi_color = img[y:y+h, x:x+w]


# To show the detected faces
cv2.imshow('img',img)
cv2.waitKey(5000)
cv2.destroyAllWindows()

k = np.array(([1/9, 1/9, 1/9], [1/9, 1/9, 1/9], [1/9, 1/9, 1/9]), np.float32)

# Blurring of just the faces in a picture 
skaldetlykkes = cv2.filter2D(img, -1, k)
cv2.imshow("Ladetskje", skaldetlykkes)
cv2.waitKey (5000)
cv2.destroyAllWindows() 

Answer 1

以下代码示例将仅在面部应用框过滤器:

import cv2

# Load the cascade
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

# Read the input image
img = cv2.imread('test.jpg')

# Convert into grayscale
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

# Detect faces
faces = face_cascade.detectMultiScale(gray, 1.1, 4)

# Blur the faces, i.e. only the ROIs defined by faces
k = np.array(([1/9, 1/9, 1/9], [1/9, 1/9, 1/9], [1/9, 1/9, 1/9]), np.float32)
for (x, y, w, h) in faces:
    img[y:y+h,x:x+w] = cv2.filter2D(img[y:y+h,x:x+w], -1, k)

# Display the output
cv2.imshow('img', img)
cv2.waitKey()