試用Face++ 人臉識別API demo

Face++提供API和SDK試用，註冊後有一星期的使用時長，註冊不須要身份證照片，手機註冊便可，SDK付費，不過用法好像跟API差很少

參考博客：

廖雪峯的官方網站：內置模塊：urllib  第三方模塊：requests

Face++ Detect API:  文檔（重要）   API演示

 

返回值是Json文件，照着文檔解字典便可獲得數據，rectangle和landmark使用使用PIL包的函數進行繪製

# -*- coding: utf-8 -*-
import urllib.request
import urllib.error
import matplotlib.pyplot as plt
import time
import json
from skimage import io
import numpy as np
from PIL import Image, ImageDraw

http_url = 'https://api-cn.faceplusplus.com/facepp/v3/detect'
key = "740HGdE-kYbuHiv5K7bz0Sy4v2oUcT1m"
secret = "t8ctrIbKdhUpmkR_sp5fAxEETTbDrP9N"
filepath = r"C:\Users\xiexj\Desktop\test.jpg"

boundary = '----------%s' % hex(int(time.time() * 1000))
data = []
data.append('--%s' % boundary)
data.append('Content-Disposition: form-data; name="%s"\r\n' % 'api_key')
data.append(key)
data.append('--%s' % boundary)
data.append('Content-Disposition: form-data; name="%s"\r\n' % 'api_secret')
data.append(secret)
data.append('--%s' % boundary)
fr = open(filepath, 'rb')
data.append('Content-Disposition: form-data; name="%s"; filename=" "' % 'image_file')
data.append('Content-Type: %s\r\n' % 'application/octet-stream')
data.append(fr.read())
fr.close()
data.append('--%s' % boundary)
data.append('Content-Disposition: form-data; name="%s"\r\n' % 'return_landmark')
data.append('2')
data.append('--%s' % boundary)
data.append('Content-Disposition: form-data; name="%s"\r\n' % 'return_attributes')
data.append(
    "gender,age,smiling,headpose,facequality,blur,eyestatus,emotion,ethnicity,beauty,mouthstatus,eyegaze,skinstatus")
data.append('--%s--\r\n' % boundary)

for i, d in enumerate(data):
    if isinstance(d, str):
        data[i] = d.encode('utf-8')  # change to byte type

http_body = b'\r\n'.join(data)

# build http request
req = urllib.request.Request(url=http_url, data=http_body)

# header
req.add_header('Content-Type', 'multipart/form-data; boundary=%s' % boundary)

try:
    # post data to server
    resp = urllib.request.urlopen(req, timeout=5)
    # get response
    qrcont = resp.read()
    # if you want to load as json, you should decode first,
    # for example: json.loads(qrcont.decode('utf-8'))
    # print(qrcont.decode('utf-8'))

    dic = json.loads(qrcont.decode('utf-8'))
    # print(dic)
    print(type(dic))
    faces_data = dic['faces']
    faces_data = faces_data[0]
    print(faces_data.get('face_token'))
    print(faces_data.get('face_rectangle'))
    dictFace = faces_data.get('face_rectangle')

    left = dictFace['left']
    top = dictFace['top']
    height = dictFace['height']
    width = dictFace['width']

    # landmark
    dictLandmark = faces_data.get('landmark')

    img = Image.open(filepath)
    print(type(img))
    img1 = np.array(img)
    draw = ImageDraw.Draw(img)
    draw.line([(left, top), (left + width, top), (left + width, top + height), (left, top + width), (left, top)], 'red')
    new_img = img1[top:(top + height), left:(left + width)]
    io.imsave(r"C:\Users\xiexj\Desktop\res.jpg", new_img)

    for i in dictLandmark:
        top = dictLandmark[i]['y']
        left = dictLandmark[i]['x']
        draw.line([(left, top), (left + 1, top), (left + 1, top + 1), (left, top + 1), (left, top)], 'blue')
    img.show()

    # attributes
    dictAttributes = faces_data.get('attributes')
    print("gender: %s" % dictAttributes.get("gender").get("value"))
    print("age: %s" % dictAttributes.get("age").get("value"))
    print("glass: %s" % dictAttributes.get("glass").get("value"))
    print("ethnicity: %s" % dictAttributes.get("ethnicity").get("value"))
    print("beauty_male: %s" % dictAttributes["beauty"]["male_score"])
    print("beauty_female: %s" % dictAttributes["beauty"]["female_score"])

except urllib.error.HTTPError as e:
    print(e.read().decode('utf-8'))

 

挑一段核心代碼（加上了輸出）：

for i, d in enumerate(data):
    if isinstance(d, str):
        data[i] = d.encode('utf-8')  # change to byte type

http_body = b'\r\n'.join(data)

for i in range(len(data)):
    print(data[i])

print("??????????????????????????????????????????????????")
print(type(http_body))
print(http_body)

# build http request
req = urllib.request.Request(url=http_url, data=http_body)

# header
req.add_header('Content-Type', 'multipart/form-data; boundary=%s' % boundary)

輸出：

不清楚爲何要加上這些boundary,但註釋掉報錯：{"error_message":"MISSING_ARGUMENTS: api_secret"}

能夠看到要進行url請求的 http_body 爲ascii編碼格式

 

返回值（106個關鍵點）：

D:\Anaconda\python.exe D:/code/face++/test.py
<class 'dict'>
354026ba716d35a2f3acc8ccd74c512b
{'width': 77, 'top': 48, 'left': 149, 'height': 77}
<class 'PIL.JpegImagePlugin.JpegImageFile'>
gender: Male
age: 58
glass: None
ethnicity: WHITE
beauty_male: 29.189
beauty_female: 41.781

Process finished with exit code 0

 本亮大叔的實際年齡55，預測值58，人種預測是白色，顏值是29分......仍是有點扯

D:\Anaconda\python.exe D:/code/face++/test.py
<class 'dict'>
6445cf79037f4b82a962badf796fee21
{'width': 256, 'top': 335, 'left': 202, 'height': 256}
<class 'PIL.JpegImagePlugin.JpegImageFile'>
gender: Male
age: 25
glass: Dark
ethnicity: INDIA
beauty_male: 87.41
beauty_female: 88.369

Process finished with exit code 0

黃景瑜實際年齡27，預測年齡25，戴眼鏡，印度人種？顏值87分......

 

曠世的API還提供了不少有意思的檢測，我沒有都提取出來

我這裏使用的是Detect API，這個API基本包括了人臉識別的檢測屬性，比較全，另外還有人臉識別，證件識別，圖像識別