tableImageParser_tx | table structure recognition

by tommyMessi Python Version: Current License: No License

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

kandi X-RAY | tableImageParser_tx Summary

tableImageParser_tx is a Python library. tableImageParser_tx has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

table structure recognition

Support

Quality

Security

License

Reuse

Support

tableImageParser_tx has a low active ecosystem.

It has 253 star(s) with 92 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 11 open issues and 1 have been closed. On average issues are closed in 118 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of tableImageParser_tx is current.

Quality

tableImageParser_tx has 0 bugs and 43 code smells.

Security

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

tableImageParser_tx code analysis shows 0 unresolved vulnerabilities.

There are 1 security hotspots that need review.

License

tableImageParser_tx 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

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

Build file is available. You can build the component from source.

tableImageParser_tx saves you 469 person hours of effort in developing the same functionality from scratch.

It has 1105 lines of code, 54 functions and 11 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Get a generator of num_workers
Generate training images
Crop the image
Resize image
Perform post processing
Generate a line row
Generate line col_col
Compute the angle between two vectors
Calculate tower loss
Calculate dice coefficient
Compute the loss of the loss function
Build a resnet model
Bottleneck bottleneck
2d convolutional convolutional layer
Subsample an input tensor
Resnet version
Resnet v1d
Resnet v1
Stack a block of blocks
Resnet model
Calculate average of gradients
Resize image

Get all kandi verified functions for this library.

tableImageParser_tx Key Features

No Key Features are available at this moment for tableImageParser_tx.

tableImageParser_tx Examples and Code Snippets

No Code Snippets are available at this moment for tableImageParser_tx.

Community Discussions

No Community Discussions are available at this moment for tableImageParser_tx.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install tableImageParser_tx

You can download it from GitHub.
You can use tableImageParser_tx 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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