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# -*- coding: utf-8 -*-
"""
Created on Fri Jun 2 11:24:19 2023
@author: admin
"""
import gradio as gr
import requests
import base64
import cv2
def face_detect(img):
success,encoded_image = cv2.imencode(".jpg",img)
img_test = base64.b64encode(encoded_image)
request_url = "https://aip.baidubce.com/rest/2.0/face/v3/detect"
params={'image':str(img_test,'utf-8'),'image_type':'BASE64','face_field':'age,beauty,faceshape,gender,glasses,landmark'}
access_token = '24.c6d21fc24e374bc693685b79eb907c28.2592000.1688272635.282335-27897283'
request_url = request_url + "?access_token=" + access_token
headers ={'content-type':'application/json'}
response =requests.post(request_url,data=params,headers=headers)
# response =requests.post(request_url,data=params)
content = response.json()
left_top = (int(content['result']['face_list'][0]['location']['left']), int(content['result']['face_list'][0]['location']['top']))
right_bottom = (int(left_top[0] + content['result']['face_list'][0]['location']['width']),int(left_top[1] + content['result']['face_list'][0]['location']['height']))
cv2.rectangle(img, left_top, right_bottom, (255, 0, 0), 2)
return img
with gr.Blocks() as demo:
gr.Markdown("Face detect.")
with gr.Row():
image_input = gr.Image()
image_output = gr.Image()
image_button = gr.Button("Detect")
image_button.click(face_detect, inputs=image_input, outputs=image_output)
gr.close_all()
demo.launch() |