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face_detect_video.py
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face_detect_video.py
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import cv2, os
import face_recognition
# Load all known faces
known_faces = {}
for filename in os.listdir("known_faces"):
image = face_recognition.load_image_file(os.path.join("known_faces", filename))
encoding = face_recognition.face_encodings(image)[0]
known_faces[filename.split(".")[0]] = encoding
# Get a reference to the webcam
video_capture = cv2.VideoCapture(0, cv2.CAP_DSHOW)
if not video_capture.isOpened():
print("Cannot open camera")
exit(1)
while True:
# Grab a single frame of video
ret, frame = video_capture.read()
# Quit when the user hits 'q' or the video ends
if not ret or cv2.waitKey(1) & 0xFF == ord('q'):
break
# Find all the faces in the current frame of video
face_locations = face_recognition.face_locations(frame)
face_encodings = face_recognition.face_encodings(frame, face_locations)
# Compare faces with known faces
for (top, right, bottom, left), face_encoding in zip(face_locations, face_encodings):
matches = face_recognition.compare_faces(list(known_faces.values()), face_encoding, tolerance=0.5)
name = "Unknown"
if True in matches:
first_match_index = matches.index(True)
name = list(known_faces.keys())[first_match_index]
# Draw a box around the face
cv2.rectangle(frame, (left, top), (right, bottom), (0, 255, 0), 2)
# Draw a label with a name below the face
cv2.putText(frame, name, (left, bottom + 20), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 255, 0), 2)
# Display the resulting image
cv2.imshow('Video', frame)
# Release handle to the webcam
video_capture.release()
cv2.destroyAllWindows()