Face_Detection / app.py
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import gradio as gr
import cv2
import numpy as np
def process_image(img):
# Process the image and overlay it onto the background
img = cv2.resize(img, (480, 360))
background = cv2.imread('background.png') # This should be the path to your background image
background[110:110+360, 26:26+480] = img
return background
iface = gr.Interface(
fn=process_image,
inputs=gr.inputs.Image(shape=(360, 480), source="webcam"),
outputs="image",
live=True,
)
if __name__ == "__main__":
iface.launch(inline=False)