I've been developing a face recognition project with ChatGPT. It gave me some code I tried, but it told me to install pip install git+https://github.com/ageitgey/face_recognition_models But I did, still, when I ran the code, it was the same for this project. I installed CMake and the Visual Studio installer. I checked, it there was no problem with it I was trying to run it, but the error didn't go away my code: import os import cv2 import face_recognition KNOWN_FACES_DIR = "known_faces" known_face_encodings = [] known_face_names = [] print("[INFO] Loading known faces...") for person_name in os.listdir(KNOWN_FACES_DIR): person_folder = os.path.join(KNOWN_FACES_DIR, person_name) if not os.path.isdir(person_folder): continue for filename in os.listdir(person_folder): filepath = os.path.join(person_folder, filename) # Load image image = face_recognition.load_image_file(filepath) encodings = face_recognition.face_encodings(image) if len(encodings) > 0: known_face_encodings.append(encodings[0]) known_face_names.append(person_name) print(f"[LOADED] {filename} for {person_name}") else: print(f"[SKIPPED] No face found in {filename}") print("[DONE] All known faces loaded.\n") video = cv2.VideoCapture(0) print("[INFO] Starting webcam. Press 'q' to quit.") while True: ret, frame = video.read() if not ret: break # Resize frame for faster processing small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25) rgb_small_frame = cv2.cvtColor(small_frame, cv2.COLOR_BGR2RGB) face_locations = face_recognition.face_locations(rgb_small_frame) face_encodings = face_recognition.face_encodings(rgb_small_frame, face_locations) for (top, right, bottom, left), face_encoding in zip(face_locations, face_encodings): matches = face_recognition.compare_faces(known_face_encodings, face_encoding, tolerance=0.5) name = "Unknown" if True in matches: first_match_index = matches.index(True) name = known_face_names[first_match_index] # Scale back up face locations top *= 4 right *= 4 bottom *= 4 left *= 4 # Draw rectangle and name cv2.rectangle(frame, (left, top), (right, bottom), (0, 255, 0), 2) cv2.rectangle(frame, (left, bottom - 35), (right, bottom), (0, 255, 0), cv2.FILLED) cv2.putText(frame, name, (left + 6, bottom - 6), cv2.FONT_HERSHEY_SIMPLEX, 0.75, (0, 0, 0), 2) cv2.imshow("Face Recognition", frame) if cv2.waitKey(1) & 0xFF == ord('q'): break video.release() cv2.destroyAllWindows() ``` Continue reading...