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| import os | |
| import face_recognition as fr | |
| def save_image(picture, directory, filename): | |
| if not os.path.exists(directory): | |
| os.makedirs(directory) | |
| if picture: | |
| with open(directory + filename + ".jpg", "wb") as f: | |
| f.write(picture.getvalue()) | |
| def delete_image(image_path): | |
| if os.path.exists(image_path): | |
| os.remove(image_path) | |
| def get_all_images(directory): | |
| return [file for file in os.listdir(directory) if file.endswith('.jpg') or file.endswith('.png')] | |
| def compare_faces_in_directory(known_image_dir, unknown_image_dir): | |
| # Get list of image files in the directory | |
| known_image_files = get_all_images(known_image_dir) | |
| unknown_image_files = get_all_images(unknown_image_dir) | |
| if not unknown_image_files: | |
| return False, -1 | |
| # Iterate over image files | |
| for j, known_image_file in enumerate(known_image_files): | |
| # Load images | |
| unknown_img_path = os.path.join(unknown_image_dir, unknown_image_files[0]) | |
| known_img_path = os.path.join(known_image_dir, known_image_file) | |
| image1 = fr.load_image_file(unknown_img_path) | |
| image2 = fr.load_image_file(known_img_path) | |
| # Find face encodings | |
| face_encodings1 = fr.face_encodings(image1) | |
| face_encodings2 = fr.face_encodings(image2) | |
| if len(face_encodings1) > 0 and len(face_encodings2) > 0: | |
| # Compare the first face encoding from each image | |
| face_encoding1 = face_encodings1[0] | |
| face_encoding2 = face_encodings2[0] | |
| # Calculate similarity | |
| similarity = fr.face_distance([face_encoding1], face_encoding2) | |
| # Set a threshold for similarity | |
| threshold = 0.4 | |
| # Output comparison result | |
| user_id = os.path.splitext(known_image_file)[0] | |
| if similarity[0] < threshold: | |
| print(f"Images {unknown_image_files[0]} and {known_image_file} have similar faces.") | |
| return True, user_id | |
| else: | |
| print(f"Images {unknown_image_files[0]} and {known_image_file} do not have similar faces.") | |
| else: | |
| print(f"No faces found in one or both images.") | |
| return False, -1 | |