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faceRecognize.py
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faceRecognize.py
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import face_recognition
import cv2
import pickle
def is_recognized():
# Get a reference to webcam #0 (the default one)
video_capture = cv2.VideoCapture(0)
# user_image = face_recognition.load_image_file("Shirley.jpg")
# user_face_encoding = face_recognition.face_encodings(biden_image)[0]
# Create arrays of known face encodings and their names
f=open(r'records/userNamesRecognized.txt','rb')
userNamesRecognizedDict=pickle.load(f)
f.close()
known_face_encodings =list(userNamesRecognizedDict.values())
known_face_names =list(userNamesRecognizedDict.keys())
# Initialize some variables
face_locations = []
face_encodings = []
face_names = []
process_this_frame = True
frameCounter=0
breakOuter=False
while True:
# Grab a single frame of video
ret, frame = video_capture.read()
# Resize frame of video to 1/4 size for faster face recognition processing
small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)
# Convert the image from BGR color (which OpenCV uses) to RGB color (which face_recognition uses)
rgb_small_frame = small_frame[:, :, ::-1]
# Only process every other frame of video to save time
if process_this_frame:
# Find all the faces and face encodings in the current frame of video
face_locations = face_recognition.face_locations(rgb_small_frame)
face_encodings = face_recognition.face_encodings(rgb_small_frame, face_locations)
face_names = []
for face_encoding in face_encodings:
# See if the face is a match for the known face(s)
matches = face_recognition.compare_faces(known_face_encodings, face_encoding)
name = "Unknown"
# If a match was found in known_face_encodings, just use the first one.
if True in matches:
first_match_index = matches.index(True)
name = known_face_names[first_match_index]
if name != "Unknown":
# print('User {} recognized!'.format(name))
return name
else:
if frameCounter>10:
print('User not recognized. Please register first. ')
return False
face_names.append(name)
process_this_frame = not process_this_frame
frameCounter+=1
video_capture.release()
cv2.destroyAllWindows()
#print(is_recognized())