[beauty detection artifact] come on, please show your unique skill (is this beauty worthy of the audience?)

Preface

author ：“ Programmer pear ”

** The article brief introduction **： This article mainly calls Baidu interface to make a face value detection gadget .

** Article source code access **： In order to thank everyone who pays attention to me, the project source code of each article is distributed free of charge

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Why these days , It's easy for everyone Appearance anxiety ？ You want to know how many points you can give to a real face ？

Hey , Today, Xiaobian will make an application Baidu for you AI Face recognition function of the face value detection script ！ Interested friends

Let's see the effect together ~

1） Effect display

Install well baidu-aip modular , Got Baidu AI After the interface key , You can call Baidu interface for face attribute recognition .

First, take the picture of Liu Yifei as an example to analyze the age 、 Gender 、 Identification of appearance value .

2） The source code to achieve

import os
import base64
from aip import AipFace


os.chdir(r'F:\ official account \28. Face recognition ')
# Set the path where the pictures are stored 

pictureName = '1_yz.jpg'
def get_picture_content(pictureName):
    with open(pictureName, 'rb') as fp:
        content = base64.b64encode(fp.read())
        return content.decode('utf-8')
# Define functions to read pictures 


APP_ID = 'XXX'
API_KEY = 'XXXXXXXX'
SECRET_KEY = 'XXXXXXXXXXXX'
# Baidu account and key 


options = {}
imageType = 'BASE64'
options["face_field"] = "age, gender, beauty"
aipFace = AipFace(APP_ID, API_KEY, SECRET_KEY)
result = aipFace.detect(get_picture_content(pictureName), imageType, options)
print(result)

notes ： among os.chdir The content in should be replaced by the address where you store the picture ,APP_ID、API_KEY、SECRET_KEY

It should be replaced by the baidu key you obtained at the end of Chapter 2 .

The results are as follows ：

among ,age The corresponding value is age ,gender The corresponding value is gender ,beauty The corresponding value is face value score .

Output in standard format for further specification , Normalized by the following code ：

import pandas as pd
face_character = pd.DataFrame({"age":[result['result']['face_list'][0]['age']], "gender":[result['result']['face_list'][0]['gender']['type']], "beauty":[result['result']['face_list'][0]['beauty']] })

The results are as follows ：

It can be found that Liu Yifei's appearance is very important to this result , I'm surprised, too , So the selfie score should be regarded as entertainment ！！

Optimized source code ——

import os
import re
import time
import base64
import pandas as pd
import tkinter as tk
from aip import AipFace
from tkinter import filedialog

root = tk.Tk()
root.withdraw()
Folderpath = filedialog.askdirectory(title = ' Please select the folder where the pictures are stored ')  
picturePath = filedialog.askopenfilename(title = ' Please select the image to be evaluated ')
root.destroy()
os.chdir(Folderpath)
# Set the path where the pictures are stored 

def get_picture_content(picturePath):
    with open(picturePath, 'rb') as fp:
        content = base64.b64encode(fp.read())
        return content.decode()
# Define functions to read pictures 

APP_ID = 'XXX'
API_KEY = 'XXXXXXXX'
SECRET_KEY = 'XXXXXXXXXXXX'
# Baidu account and key 


options = {}
options["max_face_num"] = 2
options["face_field"] = "gender"
aipFace = AipFace(APP_ID, API_KEY, SECRET_KEY)
imageType = 'BASE64'
result = aipFace.detect(get_picture_content(picturePath), imageType, options)
gender = result['result']['face_list'][0]['gender']['type']
options["face_field"] = "age"
time.sleep(1)
result = aipFace.detect(get_picture_content(picturePath), imageType, options)
age = result['result']['face_list'][0]['age']
options["face_field"] = "beauty"
time.sleep(2)
result = aipFace.detect(get_picture_content(picturePath), imageType, options)
beauty = result['result']['face_list'][0]['beauty']
# For age 、 Gender 、 Beauty information 

face_character = pd.DataFrame({"age":age, "gender":gender, "beauty":beauty},index = ['value'])
if face_character['beauty'][0]>80:
    if face_character['gender'][0] == 'female':
        str_list = " Young lady ："+ str(age) + ", The beauty of the watch "+ ', The final appearance value score is ：'+str(beauty)
    else:
        str_list = " Little brother guigeng ："+ str(age) + ", The beauty of the watch "+ ', The final appearance value score is ：'+str(beauty)
elif face_character['beauty'][0]>70:
    if face_character['gender'][0] == 'female':
        str_list = " Young lady ："+ str(age) + ", Natural beauty "+ ', The final appearance value score is ：'+str(beauty)
    else:
        str_list = " Little brother guigeng ："+ str(age) + ", Natural beauty "+ ', The final appearance value score is ：'+str(beauty)
elif face_character['beauty'][0]>50:
    if face_character['gender'][0] == 'female':
        str_list = " Young lady ："+ str(age) + ", Fair appearance "+ ', The final appearance value score is ：'+str(beauty)
    else:
        str_list = " Little brother guigeng ："+ str(age) + ", Fair appearance "+ ', The final appearance value score is ：'+str(beauty)
elif face_character['beauty'][0]>30:
    if face_character['gender'][0] == 'female':
        str_list = " Young lady ："+ str(age) + ", Congenital is not enough , The day after tomorrow "+ ', The final appearance value score is ：'+str(beauty)
    else:
        str_list = " Little brother guigeng ："+ str(age) + ", Congenital is not enough , The day after tomorrow " + ', The final appearance value score is ：'+str(beauty)
else:
    if face_character['gender'][0] == 'female':
        str_list = " Young lady ："+ str(age) + ", Go to bed early "+ ', The final appearance value score is ：'+str(beauty)
    else:
        str_list = " Little brother guigeng ："+ str(age) + ", Go to bed early "+ ', The final appearance value score is ：'+str(beauty)
# Face value definition 

from tkinter import *
from PIL import Image, ImageTk
from win32com.client import Dispatch
# Import package 


speaker = Dispatch("SAPI.SpVoice")
def roll_call():
    speaker.Speak(str_list)
# Control playback voice 


os.chdir(Folderpath)
# Set file path 

root = Tk()
root.title(" Color value test applet ")
root.iconbitmap("pikaqiu2.ico")
# Settings window 

image = Image.open(picturePath)
# Loading pictures 

root.geometry("400x300")
# Set the window size according to the picture size 

img_pic = ImageTk.PhotoImage(image)
label = Label(root, image=img_pic)
label.pack()

b2 = tk.Button(root, bg='lightyellow', text=' Beauty evaluation ', font=("KaiTi", 8), width=8, height=2, command=roll_call)
b2.place(x=0, y=0)

root.mainloop()

Star test ——

1） Jia Ling

Appearance evaluation results ：

' Young lady ：29, Congenital is not enough , The day after tomorrow , The final appearance value score is ：30.67'

The appearance value score is for reference only , Don't take it seriously .

Some of my photos are more than 30 points , Probably with the background 、 The light 、 Expression has a certain relationship , We treat it as entertainment

good .

2） Xiao Zhan

Appearance evaluation results ：

' Little brother guigeng ：23, Fair appearance , The final appearance value score is ：63.9'

The appearance value score is for reference only , Don't take it seriously , If you think there is a problem with my code, you can download the pictures and code to try . wry smile ！

summary

The appearance value score is for reference only , Don't take it seriously

From the appearance score above, we can find , The general appearance score is low , More than 80 points have been counted as high scores , All right. ！ Call Baidu interface

Face recognition has been explained , Interested friends can do it by themselves

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