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import cv2
import gradio as gr
from spoofynet import SpoofyNet
spoofynet = SpoofyNet()
def find_spoofs(input_img):
spoofs = spoofynet.find_spoof(input_img)
for spoof in spoofs:
(startX, startY, endX, endY) = spoof["coords"]
label = "Real" if spoof["is_real"] else "Spoofed"
color = (0, 255, 0) if spoof["is_real"] else (0, 0, 255)
cv2.putText(
input_img,
f"{label}: {spoof['probs']:.2f}",
(startX, startY - 10),
cv2.FONT_HERSHEY_SIMPLEX,
0.5,
color,
2,
)
cv2.rectangle(input_img, (startX, startY), (endX, endY), color, 4)
return input_img
demo = gr.Interface(find_spoofs, gr.Image(), "image")
demo.launch()
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