dsntnn | PyTorch implementation of DSNT

by anibali Python Version: Current License: Apache-2.0

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

kandi X-RAY | dsntnn Summary

dsntnn is a Python library. dsntnn 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.

:warning: I have helped integrate DSNT into Kornia (from v0.1.4). New users are advised to use that implementation instead of this one. Existing users should note that the "normalised" coordinate system differs between the two implementations (see

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Support

dsntnn has a low active ecosystem.

It has 285 star(s) with 56 fork(s). There are 12 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 18 have been closed. On average issues are closed in 62 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of dsntnn is current.

Quality

dsntnn has 0 bugs and 0 code smells.

Security

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

dsntnn code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

dsntnn 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

dsntnn 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.

dsntnn saves you 226 person hours of effort in developing the same functionality from scratch.

It has 553 lines of code, 64 functions and 9 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Computes the divergence loss for the given heatmaps
Creates a Gaussian distribution
Generate a larrange of length
Calculate the divergence between Gaussian distributions
Compute the Jacobian matrix
Computes the KL divergence

Get all kandi verified functions for this library.

dsntnn Key Features

No Key Features are available at this moment for dsntnn.

dsntnn Examples and Code Snippets

No Code Snippets are available at this moment for dsntnn.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install dsntnn

You can download it from GitHub.
You can use dsntnn 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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