Trans2Seg | repository contains the data and code for IJCAI 2021 paper

by xieenze Python Version: Current License: Apache-2.0

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

kandi X-RAY | Trans2Seg Summary

Trans2Seg is a Python library. Trans2Seg 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.

This repository contains the data and code for IJCAI 2021 paper Segmenting transparent object in the wild with transformer.

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Quality

Security

License

Reuse

Support

Trans2Seg has a low active ecosystem.

It has 105 star(s) with 18 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Trans2Seg is current.

Quality

Trans2Seg has no bugs reported.

Security

Trans2Seg has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Trans2Seg 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

Trans2Seg 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 Trans2Seg and discovered the below as its top functions. This is intended to give you an instant insight into Trans2Seg implemented functionality, and help decide if they suit your requirements.

Evaluate the model
Validate images
Synchronize the distribution
Resets the tensor
Example example
Default setup function
Gather tensors from all ranks
Returns the current world size
Make the head layer
Create a nn layer
Preprocess a set of ids
Downloads the coco package
Decorator to register an object
Truncated normalization
Compute the weighted sum of the mean of the predictions
Compute the loss
Calculate the iou distance between preds and labels
Download training data
Reduce a dict
Forward computation
Get all supported extensions
Resize a dataset
Create a topResolution layer
Parse arguments
Get an optimizer for the solver
Performs the forward computation

Get all kandi verified functions for this library.

Trans2Seg Key Features

No Key Features are available at this moment for Trans2Seg.

Trans2Seg Examples and Code Snippets

No Code Snippets are available at this moment for Trans2Seg.

Community Discussions

No Community Discussions are available at this moment for Trans2Seg.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install Trans2Seg

You can download it from GitHub.
You can use Trans2Seg 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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