Question

我正在尝试检测一张脸然后裁剪它以在脸部识别算法中使用它。这是我的代码。

import numpy as np
import cv2
import Image

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

img = cv2.imread('xD.jpg')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
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]
    print x
    print y
    print w
    print h
    img.crop((x,y,w,h))
cv2.imshow('img',img)
cv2.waitKey(0)
cv2.destroyAllWindows()

当我打印（x，y，w，h）时，它会给出精确的坐标，但是当我裁剪它时，它会给我这个错误。

img.crop（（X，Y，W，H））
AttributeError：'numpy.ndarray'对象没有属性'crop'

Answer 1

import numpy as np
import cv2
from PIL import Image

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

img = cv2.imread('xD.jpg')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
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]
    cropped = img[y:y+h, x:x+w]
cv2.imwrite("thumbnail.png", cropped)
cv2.imshow("cropped", cropped)
cv2.waitKey(0)

在python中裁剪图像

1 个答案: