在RaspberryPi上运行Python中的FaceRecognition代码时，没有得到名为“picamera”的模块

Question

我在RaspberryPi上运行Python FaceRecognition代码，但是遇到了No module named 'picamera'错误。我尝试过很少的解决办法，但没有一个对我有效。有人能找出问题出在哪里吗？在

下面是我的Python代码：

import cv2
import numpy as np
from imutils.video.pivideostream import PiVideoStream
from imutils.video import FPS
from picamera.array import PiRGBArray
from picamera import PiCamera
import time
import argparse
import imutils

#Load pretrained cascade face detection
face_cascade = cv2.CascadeClassifier('lbpcascade_frontalface.xml')
#Load improved FPS video instead of the default Picamera
reader  = PiVideoStream().start()
time.sleep(0.2)
#Load the recognizer
rec = cv2.face.createLBPHFaceRecognizer()
#Load trained local binary pattern face data
rec.load("recognizer/trainingData.yml")
id=0
font = cv2.FONT_HERSHEY_SIMPLEX

#Face recognition function
def detectFace(faces,hog,img):
    for (x, y, w, h) in faces:
       cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)
       result = cv2.face.MinDistancePredictCollector()
       rec.predict(hog[y:y+h,x:x+w],result, 0)
       id = result.getLabel()

       conf = result.getDist()
       if(conf<150):
               if(id==1):
                       id="Ibrahim_"+str(conf)
               elif(id==2):
                       id="Minh_"+str(conf)
               else:
                       id="Hyeon_"+str(conf)
       else:
               id="Unknow"
       cv2.putText(img,str(id),(x,y+h),font,1,(255,255,255),2,cv2.LINE_AA)      


while(True):
    #read each frame in the real-time video
    frame = reader.read()
    img=frame
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    #Use histogram equalizer for adjusting face in different light condition
    equ = cv2.equalizeHist(gray) 
    faces = face_cascade.detectMultiScale(equ, 1.05, 5,minSize=(10,10))
    #If the face is not frontal face then rotate the face by +30/-30 degree 
    if len(faces)==0:
        rows,cols = equ.shape
        M = cv2.getRotationMatrix2D((cols/2,rows/2),30,1)
        dst = cv2.warpAffine(equ,M,(cols,rows))
        faces = face_cascade.detectMultiScale(dst, 1.05, 5,minSize=(10,10))
        if len(faces)==0:
                rows,cols = equ.shape
                M = cv2.getRotationMatrix2D((cols/2,rows/2),-30,1)
                dst = cv2.warpAffine(equ,M,(cols,rows))
                faces = face_cascade.detectMultiScale(dst, 1.05, 5,minSize=(10,10))
                detectFace(faces,dst,img)

        else:
                detectFace(faces,dst,img)

    else:
        detectFace(faces,equ,img)

    cv2.imshow('Face', img)
    if(cv2.waitKey(1)==ord('q')):
        break;

cap.release()
cv2.destroyAllWindows()

下面是我在RaspberryPi终端上运行的结果和我得到的：

^{pr2}$

Answer 1

试试看Python3

 sudo apt-get install python3-picamera
 sudo pip3 install  upgrade picamera[array]