一见倾心钟的不是情,是脸
日久生情生的不是脸,是情php
本项目利用Python爬虫和百度人脸识别API,针对简书交友专栏,爬取用户照片(侵删),并进行打分。
本项目包括如下内容:html
如今各大交友网站都会有一些用户会爆照,本文爬取简书交友专栏(https://www.jianshu.com/c/bd38bd199ec6)的全部帖子,并进入详细页,获取全部图片并下载到本地。服务器
import requests from lxml import etree import time headers = { 'User-Agent':'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/65.0.3325.181 Safari/537.36' } def get_url(url): res = requests.get(url,headers=headers) html = etree.HTML(res.text) infos = html.xpath('//ul[@class="note-list"]/li') for info in infos: root = 'https://www.jianshu.com' url_path = root + info.xpath('div/a/@href')[0] # print(url_path) get_img(url_path) time.sleep(3) def get_img(url): res = requests.get(url, headers=headers) html = etree.HTML(res.text) title = html.xpath('//div[@class="article"]/h1/text()')[0].strip('|').split(',')[0] name = html.xpath('//div[@class="author"]/div/span/a/text()')[0].strip('|') infos = html.xpath('//div[@class = "image-package"]') i = 1 for info in infos: try: img_url = info.xpath('div[1]/div[2]/img/@data-original-src')[0] print(img_url) data = requests.get('http:' + img_url,headers=headers) try: fp = open('row_img/' + title + '+' + name + '+' + str(i) + '.jpg','wb') fp.write(data.content) fp.close() except OSError: fp = open('row_img/' + name + '+' + str(i) + '.jpg', 'wb') fp.write(data.content) fp.close() except IndexError: pass i = i + 1 if __name__ == '__main__': urls = ['https://www.jianshu.com/c/bd38bd199ec6?order_by=added_at&page={}'.format(str(i)) for i in range(1,201)] for url in urls: get_url(url)
因为爬取了帖子下面的全部图片,里面有各类图片(不包括人脸),并且是为了找到高颜值小姐姐,若是人工筛选费事费力,这里调用百度的人脸识别API,进行图片过滤和颜值打分。测试
这里使用杨超越的图片先试下水。经过结果,能够看到75分,还算比较高了(本身用了一些网红和明星测试了下,分数平均在80左右,最高也没有90以上的)。网站
from aip import AipFace import base64 APP_ID = '' API_KEY = '' SECRET_KEY = '' aipFace = AipFace(APP_ID, API_KEY, SECRET_KEY) filePath = r'C:\Users\LP\Desktop\6.jpg' def get_file_content(filePath): with open(filePath, 'rb') as fp: content = base64.b64encode(fp.read()) return content.decode('utf-8') imageType = "BASE64" options = {} options["face_field"] = "age,gender,beauty" result = aipFace.detect(get_file_content(filePath),imageType,options) print(result)
最后结合图片数据和颜值打分,设计代码,过滤掉非人物以及男性图片,获取小姐姐图片的分数(这里处理为1-10分),并分别存在不一样的文件夹中。url
from aip import AipFace import base64 import os import time APP_ID = '' API_KEY = '' SECRET_KEY = '' aipFace = AipFace(APP_ID, API_KEY, SECRET_KEY) def get_file_content(filePath): with open(filePath, 'rb') as fp: content = base64.b64encode(fp.read()) return content.decode('utf-8') imageType = "BASE64" options = {} options["face_field"] = "age,gender,beauty" file_path = 'row_img' file_lists = os.listdir(file_path) 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: continue try: sex_type = result['result']['face_list'][-1]['gender']['type'] if sex_type == 'male': continue # print(result) beauty = result['result']['face_list'][-1]['beauty'] new_beauty = round(beauty/10,1) print(file_list,new_beauty) if new_beauty >= 8: os.rename(os.path.join(file_path,file_list),os.path.join('8分',str(new_beauty) + '+' + file_list)) elif new_beauty >= 7: os.rename(os.path.join(file_path,file_list),os.path.join('7分',str(new_beauty) + '+' + file_list)) elif new_beauty >= 6: os.rename(os.path.join(file_path,file_list),os.path.join('6分',str(new_beauty) + '+' + file_list)) elif new_beauty >= 5: os.rename(os.path.join(file_path,file_list),os.path.join('5分',str(new_beauty) + '+' + file_list)) else: os.rename(os.path.join(file_path,file_list),os.path.join('其余分',str(new_beauty) + '+' + file_list)) time.sleep(1) except KeyError: pass except TypeError: pass
最后结果8分以上的小姐姐不多,如图(侵删)。spa
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做者:罗罗攀
连接:https://www.jianshu.com/p/7ba9c90ff12d
來源:简书
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