keras-arcface | Keras implementation of ArcFace , CosFace , and SphereFace | Computer Vision library

by 4uiiurz1 Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | keras-arcface Summary

keras-arcface is a Python library typically used in Artificial Intelligence, Computer Vision, Deep Learning, Pytorch, Keras applications. keras-arcface has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However keras-arcface build file is not available. You can download it from GitHub.

Keras implementation of ArcFace, CosFace, and SphereFace

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Quality

Security

License

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Support

keras-arcface has a low active ecosystem.

It has 266 star(s) with 64 fork(s). There are 11 watchers for this library.

It had no major release in the last 6 months.

There are 17 open issues and 14 have been closed. On average issues are closed in 23 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of keras-arcface is current.

Quality

keras-arcface has 0 bugs and 0 code smells.

Security

keras-arcface has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

keras-arcface code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

keras-arcface 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

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

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

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

keras-arcface saves you 149 person hours of effort in developing the same functionality from scratch.

It has 372 lines of code, 23 functions and 5 files.

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

Top functions reviewed by kandi - BETA

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

VGG8
VGGing block
Parse command line arguments
VGG8 arc face
VGG8 sphereface

Get all kandi verified functions for this library.

keras-arcface Key Features

No Key Features are available at this moment for keras-arcface.

keras-arcface Examples and Code Snippets

No Code Snippets are available at this moment for keras-arcface.

Community Discussions

Trending Discussions on keras-arcface

Tensorflow dataset with multiple inputs and target

QUESTION

Tensorflow dataset with multiple inputs and target

Asked 2021-May-21 at 16:12

I am trying to implement a model with the ArcFace Layer: https://github.com/4uiiurz1/keras-arcface

to this extend I created a tf.data.dataset like so:

...

ANSWER

Answered 2021-May-21 at 15:02

I think you should do it like this:

Source https://stackoverflow.com/questions/67638345

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

Vulnerabilities

No vulnerabilities reported

Install keras-arcface

You can download it from GitHub.
You can use keras-arcface 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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