KaggleNerveImageSegmentation | This was my first attempt at a Kaggle Challenge

by syed-ahmed Python Version: Current License: MIT

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kandi X-RAY | KaggleNerveImageSegmentation Summary

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

This was my first attempt at a Kaggle Challenge. Unfortunately I did not understand that one has to make a first submission to enter a competition and hence missed out on the opportunity. However, here is the work in progress. I have followed the pipeline that inception model follows for data processing and the script is complete. Moreover, I'm using TF Slim for model definition. The model definition currently follows the ENet model. The model defnition is complete however there are some duplicate code which can be improved.

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KaggleNerveImageSegmentation has a low active ecosystem.

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

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of KaggleNerveImageSegmentation is current.

Quality

KaggleNerveImageSegmentation has no bugs reported.

Security

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

License

KaggleNerveImageSegmentation is licensed under the MIT License. This license is Permissive.

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

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

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

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KaggleNerveImageSegmentation Key Features

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KaggleNerveImageSegmentation Examples and Code Snippets

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Vulnerabilities

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Install KaggleNerveImageSegmentation

You can download it from GitHub.
You can use KaggleNerveImageSegmentation 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.

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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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