Upload face_detect.py

face_detect.py

@@ -0,0 +1,44 @@
+# -*- 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 = encoded_image.tostring()
+    img_test = base64.b64encode(img_test)
+    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()