ctw-baseline | Baseline methods for

by yuantailing Python Version: Current License: MIT

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

kandi X-RAY | ctw-baseline Summary

ctw-baseline is a Python library. ctw-baseline has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Baseline methods for [CTW dataset](https://ctwdataset.github.io/)

Support

Quality

Security

License

Reuse

Support

ctw-baseline has a low active ecosystem.

It has 313 star(s) with 88 fork(s). There are 12 watchers for this library.

It had no major release in the last 6 months.

There are 20 open issues and 23 have been closed. On average issues are closed in 1 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ctw-baseline is current.

Quality

ctw-baseline has no bugs reported.

Security

ctw-baseline has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

ctw-baseline is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

ctw-baseline 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.

Top functions reviewed by kandi - BETA

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

Train the model
Context manager that creates a session
Prepare a new session
Wait for a single step
Mapping detection algorithm
Generator for each character in an image annotation
Calculate the area of two bounding boxes
Calculate the angle between two bounding boxes
Create a training op
Process multiple image files
Wrapper for inception v2
Inception V4
Inception resnet v2
Run a single training step
Inception v1
Process an XML file
Adds extra convolutional layers
Generate a list of detections
Calculate the NLT network
Wrapper for inception_v3
Crop train images
Deploys the given model
Run classification
Get a split
Render the report
Runs the evalwrap

Get all kandi verified functions for this library.

ctw-baseline Key Features

No Key Features are available at this moment for ctw-baseline.

ctw-baseline Examples and Code Snippets

No Code Snippets are available at this moment for ctw-baseline.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install ctw-baseline

You can download it from GitHub.
You can use ctw-baseline 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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