FERCNN-Facial-Expression-Recognition-with-Pytorch | Facial Emotion Recognition on FER2013 Dataset

by duckyngo Python Version: Current License: No License

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kandi X-RAY | FERCNN-Facial-Expression-Recognition-with-Pytorch Summary

FERCNN-Facial-Expression-Recognition-with-Pytorch is a Python library. FERCNN-Facial-Expression-Recognition-with-Pytorch has no bugs, it has no vulnerabilities and it has low support. However FERCNN-Facial-Expression-Recognition-with-Pytorch build file is not available. You can download it from GitHub.

A CNN for Facial Emotion Recognition on FER2013 Dataset with Pytorch implementation.

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FERCNN-Facial-Expression-Recognition-with-Pytorch 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.

FERCNN-Facial-Expression-Recognition-with-Pytorch has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of FERCNN-Facial-Expression-Recognition-with-Pytorch is current.

Quality

FERCNN-Facial-Expression-Recognition-with-Pytorch has 0 bugs and 0 code smells.

Security

FERCNN-Facial-Expression-Recognition-with-Pytorch has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

FERCNN-Facial-Expression-Recognition-with-Pytorch code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

FERCNN-Facial-Expression-Recognition-with-Pytorch does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

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FERCNN-Facial-Expression-Recognition-with-Pytorch releases are not available. You will need to build from source code and install.

FERCNN-Facial-Expression-Recognition-with-Pytorch has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

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

Train an image .
Initialize the image .
Returns a test dictionary for the given image size .
Return image data .
Resize image .
Returns the number of rows .

Get all kandi verified functions for this library.

FERCNN-Facial-Expression-Recognition-with-Pytorch Key Features

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FERCNN-Facial-Expression-Recognition-with-Pytorch Examples and Code Snippets

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Vulnerabilities

No vulnerabilities reported

Install FERCNN-Facial-Expression-Recognition-with-Pytorch

You can download it from GitHub.
You can use FERCNN-Facial-Expression-Recognition-with-Pytorch 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

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