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chenyujing/TikTok自动养号脚本

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test_baidu_ocr.py 3.85 KB
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chenyujing 提交于 2022-12-13 17:20 . 提交第一版本
# coding: utf-8
# In[2]:
# encoding:utf-8
import requests
import requests
import base64
# client_id 为官网获取的AK, client_secret 为官网获取的SK
host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=9M92Xoucd01BO6MxtyALGoNS&client_secret=OEKte7F4z9jNyDkmKkduEIA80iKNaE5o'
request_url = "https://aip.baidubce.com/rest/2.0/ocr/v1/general"
response = requests.get(host)
if response:
print(response.json())
access_token = response.json()["access_token"]
# In[2]:
# encoding:utf-8
# 获取图片OCR的结果
def get_ocr_result(img_path):
global access_token, request_url
# 二进制方式打开图片文件
#f = open('C:/Users/chenyujing/Documents/雷电模拟器/Pictures/Screenshots/Screenshot_2022-07-27-15-00-37.png', 'rb')
f = open(img_path, 'rb')
img = base64.b64encode(f.read())
params = {"image":img}
access_token = access_token
request_url = request_url + "?access_token=" + access_token
headers = {'content-type': 'application/x-www-form-urlencoded'}
response = requests.post(request_url, data=params, headers=headers)
if response:
#print (response.json())
try:
json_return = response.json()
except:
print("!!!!!出现异常,response:{}".format(response))
return None
return json_return
return None
# In[4]:
#img_path = "C:/Users/chenyujing/Desktop/AI爬虫/示例图片/Screenshot_20220725-221046.png"
img_path = "./评论.png"
json_result = get_ocr_result(img_path)
json_result
# In[5]:
def is_Chinese_chr(ch):
if '\u4e00' <= ch <= '\u9fff':
return True
return False
def is_Chinese_str(str):
for ch in str:
if True == is_Chinese_chr(ch):
return True
return False
# In[7]:
def get_ping_lun_ocr_result(img_path):
json_result = get_ocr_result(img_path)
ping_lun_list = []
for word_result in json_result["words_result"]:
words = word_result["words"]
location = word_result["location"]
if "暂无评论" in words or "暂时没有更多" in words:
return False, ping_lun_list
# 条件1:不是明显出错的评论
if True == words.startswith("昨天") or True == words.endswith("评论") or True == words.startswith("激活") or True == words.endswith("回复"):
continue
if "留下你的精彩评论" in words:
continue
# 条件2:是中文
if False == is_Chinese_str(words):
continue
# 条件3:字数
if len(words) <= 2:
continue
# 条件4:右边有数字(此评估的点赞数)
b_found_dian_zan_shu = False
for word_result_ in json_result["words_result"]:
if word_result_ == word_result:
continue
words_ = word_result_["words"]
# 纠正一下文本
try:
if len(words_) < 3 and words_.endswith("B"):
words_ = words_.replace("B", "6")
if words_.endswith("w"):
words_ = int(float(words_[:-1]) * 10000)
location_ = word_result_["location"]
if abs(location_["top"] - location["top"]) > 6 and location_["left"] - location["left"] > 30:
continue
if False == words_.isdigit():
continue
int(words_)
except:
continue
# chenyj debug
#print("哈哈,找到了此评论的点赞数")
ping_lun_list.append({"ping_lun":words, "dian_zan_shu":int(words_)})
return True, ping_lun_list
# In[8]:
img_path = "./评论.png"
b_has_ping_lun, ping_lun_list = get_ping_lun_ocr_result(img_path)
ping_lun_list
# In[40]:
words_ = "1.6w"
if words_.endswith("w"):
words_ = int(float(words_[:-1]) * 10000)
print(words_)
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https://gitee.com/chenyujing/tiktok_auto_yang_hao.git
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chenyujing
tiktok_auto_yang_hao
TikTok自动养号脚本
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