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2017-08-22 03:34:36 -0600 asked a question im am getting error in opencv

while creating facerecognition i got following error after creating detector file, i am completl beginer to pthon nad open cv

Error

    Traceback (most recent call last):
  File "C:\Users\Aneel\Desktop\project\facerecognitation\detector.py", line 14, in <module>
    gray=cv2.cvtColor(im,cv2.COLOR_BGR2GRAY)
error: ..\..\..\..\opencv\modules\imgproc\src\color.cpp:3737: error: (-215) scn == 3 || scn == 4 in function cv::cvtColor

my actual code

   import cv2
import numpy as np

recognizer = cv2.createLBPHFaceRecognizer()
recognizer.load('trainner/trainner.yml')
cascadePath = "haarcascade_frontalface_default.xml"
faceCascade = cv2.CascadeClassifier(cascadePath);


cam = cv2.VideoCapture(0)
font = cv2.cv.InitFont(cv2.cv.CV_FONT_HERSHEY_SIMPLEX, 1, 1, 0, 1, 1)
while True:
    ret, im =cam.read()
    gray=cv2.cvtColor(im,cv2.COLOR_BGR2GRAY)
    faces=faceCascade.detectMultiScale(gray, 1.2,5)
    for(x,y,w,h) in faces:
        cv2.rectangle(im,(x,y),(x+w,y+h),(225,0,0),2)
        Id, conf = recognizer.predict(gray[y:y+h,x:x+w])
        if(conf<50):
            if(Id==1):
                Id="Anirban"
            elif(Id==2):
                Id="Sam"
        else:
            Id="Unknown"
        cv2.cv.PutText(cv2.cv.fromarray(im),str(Id), (x,y+h),font, 255)
    cv2.imshow('im',im) 
    if cv2.waitKey(10) & 0xFF==ord('q'):
        break
cam.release()
cv2.destroyAllWindows()
2017-08-22 03:26:38 -0600 asked a question i am getting following error in opencv (pthon)

i am trying to create facerecognition but i got problem while creating detector file ,i am completl beginer to it. ERROR Traceback (most recent call last): File "C:\Users\Aneel\Desktop\project\facerecognitation\detector.py", line 14, in <module> gray=cv2.cvtColor(im,cv2.COLOR_BGR2GRAY) error: ........\opencv\modules\imgproc\src\color.cpp:3737: error: (-215) scn == 3 || scn == 4 in function cv::cvtColor

This is my code import cv2 import numpy as np recognizer = cv2.createLBPHFaceRecognizer() recognizer.load('trainner/trainner.yml') cascadePath = "haarcascade_frontalface_default.xml" faceCascade = cv2.CascadeClassifier(cascadePath); cam = cv2.VideoCapture(0) font = cv2.cv.InitFont(cv2.cv.CV_FONT_HERSHEY_SIMPLEX, 1, 1, 0, 1, 1) while True: ret, im =cam.read() gray=cv2.cvtColor(im,cv2.COLOR_BGR2GRAY) faces=faceCascade.detectMultiScale(gray, 1.2,5) for(x,y,w,h) in faces: cv2.rectangle(im,(x,y),(x+w,y+h),(225,0,0),2) Id, conf = recognizer.predict(gray[y:y+h,x:x+w]) if(conf<50): if(Id==1): Id="Anirban" elif(Id==2): Id="Sam" else: Id="Unknown" cv2.cv.PutText(cv2.cv.fromarray(im),str(Id), (x,y+h),font, 255) cv2.imshow('im',im) if cv2.waitKey(10) & 0xFF==ord('q'): break cam.release() cv2.destroyAllWindows()