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OpenCV 3.0 Beta-Python-通过网络摄像头进行人脸检测-代码给我错误

face-detection webcam image-processing opencv python

Shideh · 技术社区 · 9 年前

我多次编写并查看了这段代码,特别是它非常简单和直接(摘自opencv教程),但它仍然给我一个错误。我已经检查了错误,我知道它缺少通道,但是,我不知道如何修复它。如果有任何帮助,将不胜感激。我使用Windows x64和Spyder(来自Anaconda发行版)作为IDE。这可能是硬件问题吗?(网络摄像头)

    #####################################################
    #               Face Detection (Video)              # 
    #####################################################

    import numpy as np
    import cv2

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

    video = cv2.VideoCapture(0)
    ret, frame = video.read()
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)


    faces = face_cascade.detectMultiScale(gray, 1.3, 5)

    for (x,y,w,h) in faces:
        cv2.rectangle(frame,(x,y),(x+w,y+h),(255,0,0),2)
        roi_gray = gray[y:y+h, x:x+w]
        roi_color = frame[y:y+h, x:x+w]
        eyes = eye_cascade.detectMultiScale(roi_gray)
        for (ex,ey,ew,eh) in eyes:
            cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)


        cv2.imshow('Video', frame)
        if cv2.waitKey(1) & 0xFF == ord('q'):
            break

    video.release()
    cv2.destroyAllWindows()

下面是我得到的错误:

error: ..\..\..\..\opencv\modules\imgproc\src\color.cpp:5731:
error: (-215)    scn == 3 || scn == 4 in function cv::cvtColor

1 回复 | 直到 9 年前

berak 9 年前

我想,你想要的是“连续检测”,而不是“单次检测”,对吧?

你只需要一些小变化:

import numpy as np
import cv2

face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
if face_cascade.empty(): raise Exception("your face_cascade is empty. are you sure, the path is correct ?")

eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
if eye_cascade.empty(): raise Exception("your eye_cascade is empty. are you sure, the path is correct ?")

video = cv2.VideoCapture(0)
while(video.isOpened()):
    ret, frame = video.read()
    if frame not None:
        gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
        faces = face_cascade.detectMultiScale(gray, 1.3, 5)
        for (x,y,w,h) in faces:
            cv2.rectangle(frame,(x,y),(x+w,y+h),(255,0,0),2)
            roi_gray = gray[y:y+h, x:x+w]
            roi_color = frame[y:y+h, x:x+w]
            eyes = eye_cascade.detectMultiScale(roi_gray)
            for (ex,ey,ew,eh) in eyes:
                cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
        cv2.imshow('Video', frame)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

video.release()
cv2.destroyAllWindows()