swin-transformer-code | swin transformer vit , model and training code

by airsplay Python Version: Current License: MIT

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kandi X-RAY | swin-transformer-code Summary

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

Swin Transformer (the name Swin stands for Shifted window) is initially described in arxiv, which capably serves as a general-purpose backbone for computer vision. It is basically a hierarchical Transformer whose representation is computed with shifted windows. The shifted windowing scheme brings greater efficiency by limiting self-attention computation to non-overlapping local windows while also allowing for cross-window connection. Swin Transformer achieves strong performance on COCO object detection (58.7 box AP and 51.1 mask AP on test-dev) and ADE20K semantic segmentation (53.5 mIoU on val), surpassing previous models by a large margin.

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Support

swin-transformer-code 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.

swin-transformer-code has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of swin-transformer-code is current.

Quality

swin-transformer-code has no bugs reported.

Security

swin-transformer-code has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

swin-transformer-code 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

swin-transformer-code releases are not available. You will need to build from source code and install.

swin-transformer-code has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Train one epoch .
Build the model .
Initialize the model .
build the loader
Build the model .
Validate the input image .
Update config with given arguments .
Build the transform .
parse command line options
Build the scheduler .

Get all kandi verified functions for this library.

swin-transformer-code Key Features

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swin-transformer-code Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install swin-transformer-code

Object Detection and Instance Segmentation.
For Image Classification, please see get_started.md for detailed instructions.
For Object Detection and Instance Segmentation, please see Swin Transformer for Object Detection.
For Semantic Segmentation, please see Swin Transformer for Semantic Segmentation.
For Self-Supervised Learning, please see Transformer-SSL.
For Video Recognition, please see Video Swin Transformer.

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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