Challenge2018 | Part of the code for EndoVis 2018 robot scene segmentation

by lppllppl920 Python Version: Current License: No License

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

kandi X-RAY | Challenge2018 Summary

Challenge2018 is a Python library. Challenge2018 has no bugs, it has no vulnerabilities and it has low support. However Challenge2018 build file is not available. You can download it from GitHub.

Part of the code for EndoVis 2018 robot scene segmentation challenge

Support

Quality

Security

License

Reuse

Support

Challenge2018 has a low active ecosystem.

It has 2 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

Challenge2018 has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Challenge2018 is current.

Quality

Challenge2018 has no bugs reported.

Security

Challenge2018 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Challenge2018 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

Challenge2018 releases are not available. You will need to build from source code and install.

Challenge2018 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 Challenge2018 and discovered the below as its top functions. This is intended to give you an instant insight into Challenge2018 implemented functionality, and help decide if they suit your requirements.

Train the model .
Generate a noisy image .
Initialize the model .
Validate and save the confusion matrix .
Get the names of training and validation files .
Set weights for each module .
Get the names of all color files for both paired cameras .
Draws the images .
Calculate the voting ground vote .
Load image mask from file .

Get all kandi verified functions for this library.

Challenge2018 Key Features

No Key Features are available at this moment for Challenge2018.

Challenge2018 Examples and Code Snippets

No Code Snippets are available at this moment for Challenge2018.

Community Discussions

No Community Discussions are available at this moment for Challenge2018.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install Challenge2018

You can download it from GitHub.
You can use Challenge2018 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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