通过摄像头捕获面部区域

Question

我在进行面部检测和将图像裁剪到面部时遇到问题，下面是我的代码。

import cv2

class Crop:
    #constructor
    def __init__(self, image):
        self.data = image
    def facechop(self):
        # read xml for training data
        facedata = "haarcascade_frontalface_default.xml"
        cascade = cv2.CascadeClassifier(facedata)
        # read image file
        img = cv2.imread(self.data, 0)

        minisize = (img.shape[1], img.shape[0])
        miniframe = cv2.resize(img, minisize)

        faces = cascade.detectMultiScale(miniframe)
        for f in faces:
            x, y, w, h = [ v for v in f ]
            cv2.rectangle(img, (x, y), (x + w, y + h), (255, 255, 255))

            sub_face = self.data[y:y + h, x:x + w]

        # Show picture
        cv2.imshow('img', sub_face)
        return

输入图像文件

picture = 'izz.jpg'
pic = Crop(gambar)

pic.facechop()

# keyboard input to destroy the window
while(True):
    key = cv2.waitKey(0)
    if key in [27, ord('Q'), ord('q')]:
        break

当它是运行时，它不会在 for 函数之后直到 sub_face = self.data[y:y + h, x:x + w] 执行原始操作。它直接转到 cv2.imshow('img', sub_face)。所以，sub_face 是未知的。为什么效果不佳？我正在使用 Aptana 对其进行调试。谢谢。

Answer 1

尝试将您的代码更改为如下：

import cv2

def crop(img):
    face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
    sub_face = img

    faces = face_cascade.detectMultiScale(img, 1.1, 5)
    for (x,y,w,h) in faces:
        sub_face = img[y:y+h, x:x+w]

    return sub_face


imageToCrop = cv2.imread('izz.jpg',0)
croppedImage = crop(imageToCrop)

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

通过摄像头捕获面部区域

Capture face area by camera

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