relabel_imagenet

by naver-ai Python Version: Current License: Apache-2.0

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

kandi X-RAY | relabel_imagenet Summary

relabel_imagenet is a Python library. relabel_imagenet 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.

relabel_imagenet

Support

Quality

Security

License

Reuse

Support

relabel_imagenet has a low active ecosystem.

It has 296 star(s) with 34 fork(s). There are 10 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 3 have been closed. On average issues are closed in 30 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of relabel_imagenet is current.

Quality

relabel_imagenet has no bugs reported.

Security

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

License

relabel_imagenet is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

relabel_imagenet 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.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Parse config file
Load configuration from a file
Print a message
Recursively retrieve the value of a nested dict
Validate the model
Runs the validation loop
Perform validation loop
Save a checkpoint
Load data loaders
Returns a torch dataloader
Get label map from label_map
Convert to one - hot form
Train the model
Return the condition for saving
Takes a batch of input image and returns the target and target
Train the training loop
Print training information
Prints a summary of loss losses
Print speed
Create a context manager
Determine the dataset length
Load a checkpoint file
Removes a prefix from a dictionary
Set the distributed worker
Prints information about training

Get all kandi verified functions for this library.

relabel_imagenet Key Features

No Key Features are available at this moment for relabel_imagenet.

relabel_imagenet Examples and Code Snippets

No Code Snippets are available at this moment for relabel_imagenet.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install relabel_imagenet

You can download it from GitHub.
You can use relabel_imagenet 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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