captcha_cnn | 书籍《Python3 反爬虫原理与绕过实战》中基于卷积神经网络实现的验证码识别案例 | Form library

by asyncins Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | captcha_cnn Summary

captcha_cnn is a Python library typically used in User Interface, Form applications. captcha_cnn has no bugs, it has no vulnerabilities and it has low support. However captcha_cnn build file is not available. You can download it from GitHub.

captcha_cnn

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Quality

Security

License

Reuse

Support

captcha_cnn has a low active ecosystem.

It has 18 star(s) with 8 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. On average issues are closed in 36 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of captcha_cnn is current.

Quality

captcha_cnn has no bugs reported.

Security

captcha_cnn has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

captcha_cnn does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

captcha_cnn releases are not available. You will need to build from source code and install.

captcha_cnn has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed captcha_cnn and discovered the below as its top functions. This is intended to give you an instant insight into captcha_cnn implemented functionality, and help decide if they suit your requirements.

Start training
Load images from folder
Start verification
Performs one - hot decoding of a list
Encode a single - hot vector
Performs one - hot encode of a list
Get image name from folder

Get all kandi verified functions for this library.

captcha_cnn Key Features

No Key Features are available at this moment for captcha_cnn.

captcha_cnn Examples and Code Snippets

No Code Snippets are available at this moment for captcha_cnn.

Community Discussions

Trending Discussions on captcha_cnn

Which param decide input tensor size?

QUESTION

Which param decide input tensor size?

Asked 2018-Aug-14 at 15:30

In my CNN network, I doesn't define the input tensor size, but why does the net network have six input tensors as showed in Tensorboard (cf. picture)?

and in Tensorboard Histogram, for conv1_5, conv2_5, conv4_5, conv4_5, conv5_5, conv7_5, conv8_5, ... the last column tensors weights and bias are changed by step, while other tensors params are just constant (data of step 0).

...

ANSWER

Answered 2018-Aug-14 at 15:30

I found the reason，I use jupyter notebook to edit code， and I run CNN cell six times。:( –

Source https://stackoverflow.com/questions/51826188

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install captcha_cnn

You can download it from GitHub.
You can use captcha_cnn like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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