Question

我在RaspberryPi上运行我的Python FaceRecognition代码，但出现No module named 'picamera'错误。我尝试了很少的解决方案，但没有一个对我有用。有人可以找出问题所在吗？

以下是我的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()

以下是我在RaspberryPi终端上运行的内容以及得到的内容：

(cv) pi@raspberrypi:~/Downloads/Raspberry_pi_face_recognition-master $ python FaceRecognizer.py
Traceback (most recent call last):
  File "FaceRecognizer.py", line 3, in <module>
    from imutils.video.pivideostream import PiVideoStream
  File "/home/pi/.virtualenvs/cv/lib/python3.5/site-packages/imutils/video/pivideostream.py", line 2, in <module>
    from picamera.array import PiRGBArray
ImportError: No module named 'picamera'

Answer 1

只需在python3上试用

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

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

1 个答案: