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import gradio as gr
import requests
from PIL import Image
import io
import cv2
import numpy as np
palmvein_count = 0
def palmvein(frame1, frame2):
global palmvein_count
palmvein_count = palmvein_count + 1
url = "http://127.0.0.1:8080/palmvein"
files = {'file1': open(frame1, 'rb'), 'file2': open(frame2, 'rb')}
r = requests.post(url=url, files=files)
html = None
compare_result = r.json().get('result')
compare_similarity = r.json().get('score')
html = ("<table>"
"<tr>"
"<th>Compare Result</th>"
"<th>Value</th>"
"</tr>"
"<tr>"
"<td>Result</td>"
"<td>{compare_result}</td>"
"</tr>"
"<tr>"
"<td>Similarity</td>"
"<td>{compare_similarity}</td>"
"</tr>"
"</table>".format(compare_result=compare_result, compare_similarity=compare_similarity))
return [html]
with gr.Blocks() as demo:
gr.Markdown(
"""
# KBY-AI Palm-Vein Recognition
We offer SDKs for face recognition, liveness detection(anti-spoofing), ID card recognition and ID document liveness detection.
We also specialize in providing outsourcing services with a variety of technical stacks like AI(Computer Vision/Machine Learning), Mobile apps, and web apps.
##### KYC Verification Demo - https://github.com/kby-ai/KYC-Verification-Demo-Android
##### ID Capture Web Demo - https://cap.kby-ai.com
"""
)
with gr.TabItem("PalmVein Recognition"):
gr.Markdown(
"""
##### Docker Hub - https://hub.docker.com/r/kbyai/palmvein-recognition
```bash
sudo docker pull kbyai/palmvein-recognition:latest
sudo docker run -v ./license.txt:/home/openvino/kby-ai-palmvein/license.txt -p 8081:8080 -p 9001:9000 kbyai/palmvein-recognition:latest
```
"""
)
with gr.Row():
with gr.Column():
compare_palmvein_input1 = gr.Image(type='filepath')
gr.Examples(['palmvein_examples/1.jpg', 'palmvein_examples/3.jpg', 'palmvein_examples/5.jpg', 'palmvein_examples/7.jpg'],
inputs=compare_palmvein_input1)
compare_palmvein_button = gr.Button("Compare Hand")
with gr.Column():
compare_palmvein_input2 = gr.Image(type='filepath')
gr.Examples(['palmvein_examples/2.jpg', 'palmvein_examples/4.jpg', 'palmvein_examples/6.jpg', 'palmvein_examples/8.jpg'],
inputs=compare_palmvein_input2)
with gr.Column():
compare_result_output = gr.HTML(label='Result')
compare_palmvein_button.click(palmvein, inputs=[compare_palmvein_input1, compare_palmvein_input2], outputs=[compare_result_output])
gr.HTML('<a href="https://visitorbadge.io/status?path=https%3A%2F%2Fweb.kby-ai.com%2F"><img src="https://api.visitorbadge.io/api/combined?path=https%3A%2F%2Fweb.kby-ai.com%2F&label=VISITORS&countColor=%23263759" /></a>')
demo.launch(server_name="0.0.0.0", server_port=7860) |