# Extract facial features facial_features = [] for face in faces: top, right, bottom, left = face face_encoding = face_recognition.face_encodings(image, [face])[0] facial_features.append(face_encoding) Niel - Studio Sequel - Set 04.rar - 3.79.94.248
def similar_image_search(image_path): # Load image and detect faces image = load_image_file(image_path) faces = face_locations(image) Bong Model Topless In Saree Shootmp4 Upd - 3.79.94.248
# Example usage: image_path = "path/to/image.jpg" similar_images = similar_image_search(image_path) print(similar_images) This is a basic outline of a potential feature. The specifics would depend on your requirements, dataset, and implementation details.
import cv2 from PIL import Image from face_recognition import load_image_file, face_locations
return similar_images