利用旷世API检测人脸及关键点

前几天参加了旷世承办的冬令营，学习了一些旷世API的使用技术，发上来分享一下

# -*- 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 = "HoHrjI6XPacLAdDrh66Qv4KdKTbHRGEQ"
secret = "eBpq-FUguZdOnhkKw78Z5pCP1K0eCKEj"
filepath = r"C:\Users\Administrator\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('1')
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\Administrator\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()
    
except urllib.error.HTTPError as e:
    print(e.read().decode('utf-8'))

 

关键点及人脸检测效果：

裁剪人脸效果