`''''
Real Time Face Recogition
==> Each face stored on dataset/ dir, should have a unique numeric integer ID as 1, 2, 3, etc
==> LBPH computed model (trained faces) should be on trainer/ dir
Based on original code by Anirban Kar: https://github.com/thecodacus/Face-Recognition
Developed by Marcelo Rovai - MJRoBot.org @ 21Feb18
names related to ids: example ==> Marcelo: id=1, etc
names = ["PhotoAni", "Aniket", "Mum", "Dad"]
Initialize and start realtime video capture
cam = cv2.VideoCapture(0)
cam.set(3, 640) # set video widht
cam.set(4, 480) # set video height
Define min window size to be recognized as a face
minW = 0.1cam.get(3)
minH = 0.1cam.get(4)
while True:
ret, img =cam.read()
#img = cv2.flip(img, -1) # Flip vertically
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
faces = faceCascade.detectMultiScale(
gray,
scaleFactor = 1.2,
minNeighbors = 5,
minSize = (int(minW), int(minH)),
)
for(x,y,w,h) in faces:
cv2.rectangle(img, (x,y), (x+w,y+h), (0,255,0), 2)
id, confidence = recognizer.predict(gray[y:y+h,x:x+w])
# Check if confidence is less them 100 ==> "0" is perfect match
if (confidence < 100):
id = names[id]
confidence = " {0}%".format(round(100 - confidence))
else:
id = "unknown"
confidence = " {0}%".format(round(100 - confidence))
cv2.putText(img, str(id), (x+5,y-5), font, 1, (255,255,255), 2)
cv2.putText(img, str(confidence), (x+5,y+h-5), font, 1, (255,255,0), 1)
cv2.imshow('camera',img)
k = cv2.waitKey(10) & 0xff # Press 'ESC' for exiting video
if k == 27:
break
Do a bit of cleanup
print("\n [INFO] Exiting Program and cleanup stuff")
cam.release()
cv2.destroyAllWindows()
`
The error is:
C:\Users\anike\Downloads\Setups\Dev\OpenCV-Face-Recognition-master\FacialRecognition>python 03_face_recognition.py
Traceback (most recent call last):
File "03_face_recognition.py", line 59, in
id = names[id]
IndexError: list index out of range
[ WARN:0] global C:\projects\opencv-python\opencv\modules\videoio\src\cap_msmf.cpp (674) SourceReaderCB::~SourceReaderCB terminating async callback
Been trying to solve this error but have no luck, tried all whatever was said in https://www.hackster.io/mjrobot/real-time-face-recognition-an-end-to-end-project-a10826 comment section, but same error. My code is :
`'''' Real Time Face Recogition ==> Each face stored on dataset/ dir, should have a unique numeric integer ID as 1, 2, 3, etc
==> LBPH computed model (trained faces) should be on trainer/ dir Based on original code by Anirban Kar: https://github.com/thecodacus/Face-Recognition
Developed by Marcelo Rovai - MJRoBot.org @ 21Feb18
'''
import cv2 import numpy as np import os
recognizer = cv2.face.LBPHFaceRecognizer_create() recognizer.read('trainer/trainer.yml') cascadePath = "haarcascade_frontalface_default.xml" faceCascade = cv2.CascadeClassifier(cascadePath);
font = cv2.FONT_HERSHEY_SIMPLEX
iniciate id counter
id = 0
names related to ids: example ==> Marcelo: id=1, etc
names = ["PhotoAni", "Aniket", "Mum", "Dad"]
Initialize and start realtime video capture
cam = cv2.VideoCapture(0) cam.set(3, 640) # set video widht cam.set(4, 480) # set video height
Define min window size to be recognized as a face
minW = 0.1cam.get(3) minH = 0.1cam.get(4)
while True:
Do a bit of cleanup
print("\n [INFO] Exiting Program and cleanup stuff") cam.release() cv2.destroyAllWindows() `
The error is: