本篇文章给大家分享的是有关Python中怎么批量鉴别审核黄图,小编觉得挺实用的,因此分享给大家学习,希望大家阅读完这篇文章后可以有所收获,话不多说,跟着小编一起来看看吧。
import json
from aip import AipImageCensor
from multiprocessing.pool import ThreadPool
checks = []
file_dumps = open("./dump.txt", "w", encoding='utf-8')
cur_count = 0
global_count = 0
# 这边就是填你上面申请的密钥
APP_ID = ''
API_KEY = ''
SECRET_KEY = ''
def onetest(url):
global cur_count
try:
client = AipImageCensor(APP_ID, API_KEY, SECRET_KEY)
result = client.imageCensorUserDefined(url)
result = json.loads(str(result).replace("'", '"'))
print(str(result) + " - {" + str(cur_count) + "/" + str(global_count) + "}")
if "'conclusionType': 1" in str(result):
file_dumps.write(url)
cur_count = cur_count + 1
except Exception as e:
print(e)
def loaddata():
global global_count
with open("./urls.txt", "r", encoding='utf-8') as file:
for line in file.readlines():
checks.append(line)
global_count = len(checks)
def main():
loaddata()
pool = ThreadPool(processes=50)
pool.map(onetest, checks)
pool.close()
pool.join()
if __name__ == '__main__':
main()
以上就是Python中怎么批量鉴别审核黄图,小编相信有部分知识点可能是我们日常工作会见到或用到的。希望你能通过这篇文章学到更多知识。更多详情敬请关注亿速云行业资讯频道。
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