Picamera在使用Raspberry Pi的面部识别中不起作用

问题描述

我是python和R-Pi的新手。因此，在看完Adrian的教程之后，我想获得面部识别功能。 （https://www.pyimagesearch.com/2018/06/11/how-to-build-a-custom-face-recognition-dataset/）

我的picamera通常可以正常工作，但是按照上面的帖子操作，我的picamera无法正常工作。

这是我的源代码：

from imutils.video import VideoStream
import argparse
import imutils
import time
import cv2
import os

ap = argparse.ArgumentParser()
ap.add_argument("-c","--cascade",required=True,help = "path to where the face cascade resides")
ap.add_argument("-o","--output",help="path to output directory")
args = vars(ap.parse_args())

detector = cv2.CascadeClassifier(args["cascade"])
print("[INFO] starting video stream...")
#vs = VideoStream(src=0).start()
 vs = VideoStream(usePiCamera=True).start()
time.sleep(2.0)
total = 0

while True:

    frame = vs.read()
    orig = frame.copy()
    frame = imutils.resize(frame,width=400)

    rects = detector.detectMultiScale(
        cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY),scaleFactor=1.1,minNeighbors=5,minSize=(30,30))

    for (x,y,w,h) in rects:
        cv2.rectangle(frame,(x,y),(x + w,y + h),(0,255,0),2)

    cv2.imshow("Frame",frame)
    key = cv2.waitKey(1) & 0xFF
 
    if key == ord("k"):
        p = os.path.sep.join([args["output"],"{}.png".format(
            str(total).zfill(5))])
        cv2.imwrite(p,orig)
        total += 1
    elif key == ord("q"):
        break

print("[INFO] {} face images stored".format(total))
print("[INFO] cleaning up...")
cv2.destroyAllWindows()
vs.stop()

当我运行这段代码时，

[INFO] starting video stream...

出现，但相机未出现在RaspBerry Pi上；而且，当我面对镜头时，

[INFO] {} face images stored 
[INFO] cleaning up...

出现。

解决方法

您能尝试这个吗？

import numpy as np
import cv2

cap = cv2.VideoCapture(0)

while(True):
    # Capture frame-by-frame
    ret,frame = cap.read()

    # Our operations on the frame come here
    gray = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)

    # Display the resulting frame
    cv2.imshow('frame',gray)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

# When everything done,release the capture
cap.release()
cv2.destroyAllWindows()