python计算机毕业设计 微信机器人.zip
大小:405.26KB
价格:26积分
下载量:0
评分:
5.0
上传者:weixin_43775295
更新日期:2024-08-04
python计算机毕业设计 微信机器人
资源文件列表(大概)
文件名
大小
wechat_robot/
-
wechat_robot/joke.py
748B
wechat_robot/config.py
363B
wechat_robot/requirements.txt
46B
wechat_robot/weather.py
1.26KB
wechat_robot/test.py
184B
wechat_robot/README.md
52B
wechat_robot/.git/
-
wechat_robot/.git/config
311B
wechat_robot/.git/objects/
-
wechat_robot/.git/objects/57/
-
wechat_robot/.git/objects/57/892f0cf8a0b55bb2426930eeb405002788cb0c
354B
wechat_robot/.git/objects/6f/
-
wechat_robot/.git/objects/6f/8212989beb6d8b96224fa7d64447a4aa8886a9
58B
wechat_robot/.git/objects/04/
-
wechat_robot/.git/objects/04/d7d51f59b5e89910246786ae8fa367a0873eee
446B
wechat_robot/.git/objects/67/
-
wechat_robot/.git/objects/67/e970716c57de43a5f2a282e0cc7229a00a06c2
733B
wechat_robot/.git/objects/94/
-
wechat_robot/.git/objects/94/fe3aed0ce921c05d6f995696c1561f02ee913e
165B
wechat_robot/.git/objects/ac/
-
wechat_robot/.git/objects/ac/6e93c7f1bf6acb3c2a3ee76c1caf26cc406ff5
63B
wechat_robot/.git/objects/d0/
-
wechat_robot/.git/objects/d0/f17fac2e941c6957d10826ae8223b38735a011
153B
wechat_robot/.git/objects/c0/
-
wechat_robot/.git/objects/c0/a4d31c9f524a691dee8edfb7d725d9bb36b41e
41B
wechat_robot/.git/objects/20/
-
wechat_robot/.git/objects/20/adb145b83910ee8d81f31428fca38bdf411a4c
354B
wechat_robot/.git/objects/pack/
-
wechat_robot/.git/objects/74/
-
wechat_robot/.git/objects/74/e76605b43aa9f7a756df74fe986028f252dc39
122B
wechat_robot/.git/objects/31/
-
wechat_robot/.git/objects/31/34adc1070371d66bc3026dccc0f8bd5b38066c
1.16KB
wechat_robot/.git/objects/info/
-
wechat_robot/.git/objects/98/
-
wechat_robot/.git/objects/98/2731a62eb6fb39985839921d5b508960629bd1
54B
wechat_robot/.git/objects/6d/
-
wechat_robot/.git/objects/6d/952df2975257b98e582b4564049c25e9f18596
453B
wechat_robot/.git/objects/70/
-
wechat_robot/.git/objects/70/853f98e6356b172aaa92727562d4a4c4e2c8fc
150B
wechat_robot/.git/objects/8d/
-
wechat_robot/.git/objects/8d/7d2cbfedae7c131886f159792612e4f72512f0
59B
wechat_robot/.git/objects/2e/
-
wechat_robot/.git/objects/2e/22a63570081dc5b3259b97239bf80e603487ae
57B
wechat_robot/.git/HEAD
23B
wechat_robot/.git/info/
-
wechat_robot/.git/info/exclude
240B
wechat_robot/.git/logs/
-
wechat_robot/.git/logs/HEAD
457B
wechat_robot/.git/logs/refs/
-
wechat_robot/.git/logs/refs/heads/
-
wechat_robot/.git/logs/refs/heads/master
457B
wechat_robot/.git/logs/refs/remotes/
-
wechat_robot/.git/logs/refs/remotes/origin/
-
wechat_robot/.git/logs/refs/remotes/origin/master
414B
wechat_robot/.git/description
73B
wechat_robot/.git/hooks/
-
wechat_robot/.git/hooks/commit-msg.sample
896B
wechat_robot/.git/hooks/pre-rebase.sample
4.78KB
wechat_robot/.git/hooks/pre-commit.sample
1.6KB
wechat_robot/.git/hooks/applypatch-msg.sample
478B
wechat_robot/.git/hooks/fsmonitor-watchman.sample
3.25KB
wechat_robot/.git/hooks/pre-receive.sample
544B
wechat_robot/.git/hooks/prepare-commit-msg.sample
1.46KB
wechat_robot/.git/hooks/post-update.sample
189B
wechat_robot/.git/hooks/pre-applypatch.sample
424B
wechat_robot/.git/hooks/pre-push.sample
1.32KB
wechat_robot/.git/hooks/update.sample
3.53KB
wechat_robot/.git/refs/
-
wechat_robot/.git/refs/heads/
-
wechat_robot/.git/refs/heads/master
41B
wechat_robot/.git/refs/tags/
-
wechat_robot/.git/refs/remotes/
-
wechat_robot/.git/refs/remotes/origin/
-
wechat_robot/.git/refs/remotes/origin/master
41B
wechat_robot/.git/index
834B
wechat_robot/.git/COMMIT_EDITMSG
29B
wechat_robot/main.py
659B
wechat_robot/wechat_robot.py
2.79KB
微信机器人程序使用说明.doc
363.5KB
程序配置说明.docx
20.12KB
资源使用须知.pdf
57.45KB
资源内容介绍
python计算机毕业设计 微信机器人用户评论 (0)
发表评论
相关资源
python 计算机毕业程序设计 今天吃什么代码
python 计算机毕业程序设计 今天吃什么代码.
15.64MB21积分
基于swing考试管理系统开发框架：eclipse + java + jdk + mysql 数据库：mysql不能有
基于swing考试管理系统开发框架：eclipse + java + jdk + mysql 数据库：mysql不能有中文路径角色介绍管理员admins123456学生用户qqq123456模块介绍管理员登录模块考题管理用户管理考试管理退出系统学生用户登录模块注册模块考试系统查看成绩密码修改关于系统退出系统数据库介绍数据库名称 db_examtb_gradeid userName
16.19MB10积分
MATLAB水果草莓检测(完美运行，GUI界面)
在MATLAB中进行水果草莓检测，可以采用图像处理技术和机器学习算法来实现。首先，可以使用图像处理技术来提取草莓的特征。可以尝试以下步骤：1. 读取原始图像并将其转换为HSV颜色空间。HSV颜色空间可以更好地区分草莓的颜色。2. 使用颜色阈值将图像转换为二值图像。可以通过调整阈值来选择草莓的颜色范围。3. 对二值图像进行形态学操作，如腐蚀和膨胀，以去除噪声或填充空洞。4. 使用区域标记算法找到图像中的草莓区域。可以使用连通组件分析或边界跟踪算法来实现。5. 根据草莓区域的大小、形状或其他特征，可以进一步筛选出可能是草莓的区域。接下来，可以使用机器学习算法来训练一个分类器来识别草莓。可以采用以下步骤：1. 为了训练分类器，需要准备一组标记好的草莓图像和非草莓图像。可以从图像库中手动标记图像，或者使用现有的草莓图像数据库。2. 提取草莓和非草莓图像的特征。可以使用颜色直方图、形状、纹理等特征。3. 使用草莓和非草莓图像的特征作为输入，标记作为输出，来训练分类器。常用的分类器包括支持向量机、决策树、随机森林等。4. 使用训练好的分类器来对新的图像进
1.6MB19积分
自动控制原理学习自动控制原理学习自动控制原理学习
自动控制原理学习自动控制原理学习自动控制原理学习
73.11KB12积分