Python爬取图片+百度人脸检测过滤高颜值美女

pexels网站提供了大量贴图,从中搜索美女图片,编写爬虫进行下载,下载后图片中除了女人外,还包含男人,风景、静物和动物,调用百度人脸检测模块识别检测,将其中颜值大于60分的美女保存到另外一个文件夹。爬取图片共计1251张,最后过滤出的美女共计287张。上代码:

Python爬取图片+百度人脸检测过滤高颜值美女

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爬虫程序:

from bs4 import BeautifulSoup
import requests
import os
import time
save_path = 'F://photos/'
url_path = 'https://www.pexels.com/search/'
headers ={
 'accept':'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8',
 'user-agent':'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.112 Safari/537.36'
}
searchWord = 'beauty'
urls = [url_path+searchWord+'/?page={}'.format(str(i)) for i in range(1,100)]
 
if not os.path.exists(save_path):
 os.mkdir(save_path)
page =1
for url in urls:
 img_list = []
 wb_data = requests.get(url,headers=headers)
 print("当前爬取页面链接",url)
 soup = BeautifulSoup(wb_data.text,'lxml')
 imgs = soup.select('article > a > img')
 for img in imgs:
 photo_src = img.get('src')
 img_list.append(photo_src)
 print("第{}页,共计{}张图片".format(page,len(img_list)))
 for item in img_list:
 data = requests.get(item, headers=headers)
 fp = open(save_path+item.split('?')[0][-10:],'wb')
 fp.write(data.content)
 fp.close()
 page = page+1
 time.sleep(2)

Python爬取图片+百度人脸检测过滤高颜值美女

颜值检测程序:

from aip import AipFace
import base64
import os
import time
import shutil
#接入百度AI人脸识别的参数
APP_ID="换成你自己的"
API_KEY = "换成你自己的"
SECRET_KEY = "换成你自己的"
imageType = "BASE64"
options = {}
options["face_field"] = "gender,beauty"
options["face_type"] = "LIVE"
 
#下载图片和筛选图片的文件夹
file_path = 'F://photos/'
copy_file_path = 'F://highScore/'
file_lists=os.listdir(file_path)
 
aipFace =AipFace(APP_ID,API_KEY,SECRET_KEY)
#将图片转换为BASE64格式,这是百度平台的要求
def get_file_content(filePath):
 with open(filePath,'rb') as fp:
 content = base64.b64encode(fp.read())
 return content.decode('utf-8')
 
for file_list in file_lists:
 result = aipFace.detect(get_file_content(os.path.join(file_path,file_list)),imageType,options)
 error_code = result['error_code']
 if error_code == 222202:
 #没有人脸
 continue
 if error_code==223110:
 #人脸太多
 continue
 try:
 sex_type = result['result']['face_list'][-1]['gender']['type']
 #只要美女图片
 if sex_type == 'male':
 continue
 beauty = result['result']['face_list'][-1]['beauty']
 new_beauty = round(beauty/10,1)
 print(file_list,new_beauty)
 if new_beauty>=6:
 copy_src = os.path.join(file_path,str(new_beauty)+'_'+file_list)
 copy_dst = os.path.join(copy_file_path,str(new_beauty)+'_'+file_list)
 #重命名高分照片
 os.rename(os.path.join(file_path,file_list),copy_src)
 #复制高分照片到另外的照片
 shutil.copyfile(copy_src,copy_dst)
 time.sleep(1)
 except KeyError:
 pass
 except TypeError:
 pass

爬取的图片:

Python爬取图片+百度人脸检测过滤高颜值美女

过滤后的图片:

Python爬取图片+百度人脸检测过滤高颜值美女

看看最高颜值的美女:

Python爬取图片+百度人脸检测过滤高颜值美女

较低颜值的女性:

Python爬取图片+百度人脸检测过滤高颜值美女

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