【Python+百度API】实现人脸识别和颜值检测系统（包括人脸数量、年龄、颜值评分、性别、种族、表情检测）（超详细 附源码）

import tkinter as tk
from tkinter import filedialog, ttk
import base64
import json
import requests
from PIL import  Image,ImageTk
win = tk.Tk()
win.title("颜值检测")
#root=tk.Tk()
#root.title("展示图片")
photo=None
img=None
# 打开文件对话框
def getfile():
    file_path = filedialog.askopenfilename()
    to
    global img
    file_path = filedialog.askopenfilename()
    fpath.set(file_path)
    img=Image.open(file_path)
    photo=ImageTk.PhotoImage(img)
    imglabel=tk.Label(win,image=photo)
    imglabel.grid(row=0,column=0,columnspan=3)
def face_baidu():
    class BaiduPicIndentify:
        def __init__(self, img):
            self.AK = "juqVLsljMBigcM4soXoVmMGr"
            self.SK = "g5EgLoGOxEs3jogREqGVWUYl1e5tLkUL"
            self.img_src = img
            self.headers = {
                "Content-Type": "application/json; charset=UTF-8"
            }
        def get_accessToken(self):
            host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=' + self.AK + '&client_secret=' + self.SK
            response = requests.get(host, headers=self.headers)
            json_result = json.loads(response.text)
            return json_result['access_token']
        def img_to_BASE64(slef, path):
            with open(path, 'rb') as f:
                base64_data = base64.b64encode(f.read())
                return base64_data
        def detect_face(self):
            # 人脸检测与属性分析
            img_BASE64 = self.img_to_BASE64(self.img_src)
            request_url = "https://aip.baidubce.com/rest/2.0/face/v3/detect"
            post_data = {
                "image": img_BASE64,
                "image_type": "BASE64",
                "face_field": "gender,age,beauty,gender,race,expression",
                "face_type": "LIVE"
            }
            access_token = self.get_accessToken()
            request_url = request_url + "?access_token=" + access_token
            response = requests.post(url=request_url, data=post_data, headers=self.headers)
            json_result = json.loads(response.text)
            if json_result['error_msg'] != 'pic not has face':
                t1 = tk.Label(win, text=json_result['result']['face_num']).grid(row=4, column=1)
                t2 = tk.Label(win, text=json_result['result']['face_list'][0]['age']).grid(row=5, column=1)
                t3 = tk.Label(win, text=json_result['result']['face_list'][0]['beauty']).grid(row=6, column=1)
                t4 = tk.Label(win, text=json_result['result']['face_list'][0]['gender']['type']).grid(row=7, column=1)
                t5 = tk.Label(win, text=json_result['result']['face_list'][0]['race']['type']).grid(row=8, column=1)
                t6 = tk.Label(win, text=json_result['result']['face_list'][0]['expression']['type']).grid(row=9,
                                                                                                          column=1)
    if __name__ == '__main__':
        img_src = fpath.get()
        baiduDetect = BaiduPicIndentify(img_src)
        baiduDetect.detect_face()
#win = tk.Tk()
#win.title("颜值检测")
win.geometry("400x200")
fpath = tk.StringVar()
#ttk.Button(root,text='show',command=show).grid(row=1,column=1)
#root.mainloop()
l = tk.Label(win, text='颜值检测系统-由百度AI提供', bg='brown', font='黑体,20,bold', fg='white')
l.grid(row=1, column=0)
command=show()).grid(row=2,column=1)
ttk.Entry(win, textvariable=fpath).grid(row=2, column=1)
l1 = tk.Label(win, text='人脸数：')
l1.grid(row=4, column=0)
l2 = tk.Label(win, text='人物年龄：')
l2.grid(row=5, column=0)
l3 = tk.Label(win, text='人物颜值评分：')
l3.grid(row=6, column=0)
l4物表情：')
l6.grid(row=9, column=0)
b = tk.Button(win, text="点我检测", width=15, height=2, command=face_baidu)
b.grid(row=10, column=0)
win.mainloop()