一見傾心鐘的不是情,是臉
日久生情生的不是臉,是情php
本項目利用Python爬蟲和百度人臉識別API,針對簡書交友專欄,爬取用戶照片(侵刪),並進行打分。
本項目包括如下內容:html
如今各大交友網站都會有一些用戶會爆照,本文爬取簡書交友專欄(https://www.jianshu.com/c/bd38bd199ec6)的全部帖子,並進入詳細頁,獲取全部圖片並下載到本地。服務器
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)
因爲爬取了帖子下面的全部圖片,裏面有各類圖片(不包括人臉),並且是爲了找到高顏值小姐姐,若是人工篩選費事費力,這裏調用百度的人臉識別API,進行圖片過濾和顏值打分。測試
這裏使用楊超越的圖片先試下水。經過結果,能夠看到75分,還算比較高了(本身用了一些網紅和明星測試了下,分數平均在80左右,最高也沒有90以上的)。網站
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)
最後結合圖片數據和顏值打分,設計代碼,過濾掉非人物以及男性圖片,獲取小姐姐圖片的分數(這裏處理爲1-10分),並分別存在不一樣的文件夾中。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('其餘分',str(new_beauty) + '+' + file_list)) time.sleep(1) except KeyError: pass except TypeError: pass
最後結果8分以上的小姐姐不多,如圖(侵刪)。spa
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做者:羅羅攀
連接:https://www.jianshu.com/p/7ba9c90ff12d
來源:簡書
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