nerdegutta.no
Python: Face recognition and compare with images from a folder
14.12.23
Programming
This program compares the image from the WEB camera, with images from a folder.
# Import the neccessary libraries
import cv2
import face_recognition
import os
# Load images from the folder
known_images_path = "/home/jens/Bilder/face_rec/"
known_images = []
# Load known faces
for filename in os.listdir(known_images_path):
img_path = os.path.join(known_images_path, filename)
image = face_recognition.load_image_file(img_path)
encoding = face_recognition.face_encodings(image)[0]
known_images.append(encoding)
# Initialize the webcam
video_capture = cv2.VideoCapture(0)
while True:
# Capture each frame from the webcam
ret, frame = video_capture.read()
# Find all face locations and encodings in the current frame
face_locations = face_recognition.face_locations(frame)
face_encodings = face_recognition.face_encodings(frame, face_locations)
# Loop through each face in the current frame
for (top, right, bottom, left), face_encoding in zip(face_locations, face_encodings):
# Compare the current face with known faces
matches = face_recognition.compare_faces(known_images, face_encoding)
name = "Unknown"
# If a match is found, use the name of the known face
if True in matches:
first_match_index = matches.index(True)
name = os.listdir(known_images_path)[first_match_index].split(".")[0]
print ("Match")
# Draw a rectangle around the face and display the name
cv2.rectangle(frame, (left, top), (right, bottom), (0, 0, 255), 2)
font = cv2.FONT_HERSHEY_DUPLEX
cv2.putText(frame, name, (left + 6, bottom - 6), font, 0.5, (255, 255, 255), 1)
# Display the resulting frame
cv2.imshow('Video', frame)
# Break the loop if 'q' key isq pressed
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# Release the webcam and close all windows
video_capture.release()
cv2.destroyAllWindows()