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import gradio as gr | |
import requests | |
import json | |
from PIL import Image | |
def compare_face(frame1, frame2): | |
url = "http://127.0.0.1:8000/api/compare_face" | |
files = {'image1': open(frame1, 'rb'), 'image2': open(frame2, 'rb')} | |
r = requests.post(url=url, files=files) | |
faces = None | |
try: | |
image1 = Image.open(frame1) | |
image2 = Image.open(frame2) | |
face1 = None | |
face2 = None | |
data = r.json().get('data') | |
if data.get('face1') is not None: | |
face = data.get('face1') | |
x1 = face.get('x1') | |
y1 = face.get('y1') | |
x2 = face.get('x2') | |
y2 = face.get('y2') | |
if x1 < 0: | |
x1 = 0 | |
if y1 < 0: | |
y1 = 0 | |
if x2 >= image1.width: | |
x2 = image1.width - 1 | |
if y2 >= image1.height: | |
y2 = image1.height - 1 | |
face1 = image1.crop((x1, y1, x2, y2)) | |
face_image_ratio = face1.width / float(face1.height) | |
resized_w = int(face_image_ratio * 150) | |
resized_h = 150 | |
face1 = face1.resize((int(resized_w), int(resized_h))) | |
if data.get('face2') is not None: | |
face = data.get('face2') | |
x1 = face.get('x1') | |
y1 = face.get('y1') | |
x2 = face.get('x2') | |
y2 = face.get('y2') | |
if x1 < 0: | |
x1 = 0 | |
if y1 < 0: | |
y1 = 0 | |
if x2 >= image2.width: | |
x2 = image2.width - 1 | |
if y2 >= image2.height: | |
y2 = image2.height - 1 | |
face2 = image2.crop((x1, y1, x2, y2)) | |
face_image_ratio = face2.width / float(face2.height) | |
resized_w = int(face_image_ratio * 150) | |
resized_h = 150 | |
face2 = face2.resize((int(resized_w), int(resized_h))) | |
if face1 is not None and face2 is not None: | |
new_image = Image.new('RGB',(face1.width + face2.width + 10, 150), (80,80,80)) | |
new_image.paste(face1,(0,0)) | |
new_image.paste(face2,(face1.width + 10, 0)) | |
faces = new_image.copy() | |
elif face1 is not None and face2 is None: | |
new_image = Image.new('RGB',(face1.width + face1.width + 10, 150), (80,80,80)) | |
new_image.paste(face1,(0,0)) | |
faces = new_image.copy() | |
elif face1 is None and face2 is not None: | |
new_image = Image.new('RGB',(face2.width + face2.width + 10, 150), (80,80,80)) | |
new_image.paste(face2,(face2.width + 10, 0)) | |
faces = new_image.copy() | |
except: | |
pass | |
return [r.json(), faces] | |
with gr.Blocks() as demo: | |
gr.Markdown( | |
""" | |
# Face Liveness Detection | |
Get your own Face Liveness Detection Server by duplicating this space.<br/> | |
Contact us at contact@faceonlive.com for issues and support.<br/> | |
""" | |
) | |
with gr.Row(): | |
with gr.Column(): | |
compare_face_input1 = gr.Image(type='filepath', height=480) | |
gr.Examples(['gradio/examples/1.jpg', 'gradio/examples/2.jpg'], | |
inputs=compare_face_input1) | |
compare_face_button = gr.Button("Compare Face") | |
with gr.Column(): | |
compare_face_input2 = gr.Image(type='filepath', height=480) | |
gr.Examples(['gradio/examples/3.jpg', 'gradio/examples/4.jpg'], | |
inputs=compare_face_input2) | |
with gr.Column(): | |
compare_face_output = gr.Image(type="pil", height=150) | |
compare_result_output = gr.JSON(label='Result') | |
compare_face_button.click(compare_face, inputs=[compare_face_input1, compare_face_input2], outputs=[compare_result_output, compare_face_output]) | |
demo.launch(server_name="0.0.0.0", server_port=7860) |