I have a face detection program. I tried to run the code but it's not working.
import cv2
import numpy as np
recognizer = cv2.face.LBPHFaceRecognizer_create()
recognizer.read("trainer/trainer.yml")
cascadePath = "haarcascade_frontalface_default.xml"
faceCascade = cv2.CascadeClassifier(cascadePath);
cam = cv2.VideoCapture(0)
fontFace = cv2.FONT_HERSHEY_SIMPLEX
fontScale = 1
fontColor = (255, 255, 255)
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="chandra"
elif(Id==2):
Id="vamsi"
else:
Id="Unknown"
cv2.putText(im,str(Id), (x,y+h),fontFace, 255)
cv2.imshow('im',im)
if (cv2.waitKey(10) == ord('q')):
break
cam.release()
cv2.destroyAllWindows()
I got this error:
(-215:Assertion failed):empty() in function 'cv::CascadeClassifier::detectMultiScale'
I'm using opencv2
and python 3.7
Maybe this will help:
try:
ret, im =cam.read()
except:
continue
Please, use this code below to check if you have any images coming from your camera:
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()
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