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import gradio as gr
import face_recognition
import numpy as np
from PIL import Image
def match_faces(image1, image2):
# ์ด๋ฏธ์ง์์ ์ผ๊ตด ์ธ์ ๋ฐ ํน์ง ์ถ์ถ
face_encoding1 = face_recognition.face_encodings(image1)[0]
face_encoding2 = face_recognition.face_encodings(image2)[0]
# ๋ ์ผ๊ตด ๊ฐ์ ์ ์ฌ๋ ์ธก์ (์ ํด๋ฆฌ๋์ ๊ฑฐ๋ฆฌ)
distance = np.linalg.norm(face_encoding1 - face_encoding2)
# ์ ์ฌ๋์ ๋ฐ๋ผ ๊ฒฐ๊ณผ ๋ฐํ
if distance < 0.6:
return "์ผ๊ตด์ด ๋งค์ฐ ๋น์ทํฉ๋๋ค!"
else:
return "์ผ๊ตด์ด ๋ค๋ฆ
๋๋ค."
# Gradio ์ธํฐํ์ด์ค ์์ฑ
iface = gr.Interface(fn=match_faces,
inputs=[gr.inputs.Image(shape=(224, 224)), gr.inputs.Image(shape=(224, 224))],
outputs="text")
iface.launch()
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