| import cv2 | |
| import gradio as gr | |
| face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml') | |
| def detect_faces(frame): | |
| gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) | |
| faces = face_cascade.detectMultiScale(gray, 1.3, 5) | |
| print(f"Detected {len(faces)} faces") | |
| return len(faces) | |
| import gradio as gr | |
| camera = cv2.VideoCapture(0) | |
| def detect_faces_in_video(): | |
| success, frame = camera.read() | |
| if success: | |
| num_faces = detect_faces(frame) | |
| return int(num_faces) | |
| else: | |
| return None | |
| iface = gr.Interface(fn=detect_faces_in_video, inputs=None, outputs="number", title="Webcam Face Detection") | |
| iface.launch() |