https://github.com/alkasaliss/democlassi

DEmoClassi stands for Demographic (age, gender, race) and Emotions (happy, sad, angry, ...) Classification from face images, using deep learning.
https://github.com/alkasaliss/democlassi

age deep-learning emotion-detection gender pytorch pytorch-ignite race

Last synced: 2 months ago
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DEmoClassi stands for Demographic (age, gender, race) and Emotions (happy, sad, angry, ...) Classification from face images, using deep learning.

• Host: GitHub
• URL: https://github.com/alkasaliss/democlassi
• Owner: AlkaSaliss
• License: mit
• Created: 2019-01-30T19:41:08.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2023-10-04T00:57:23.000Z (about 1 year ago)
• Last Synced: 2024-09-29T11:03:10.223Z (3 months ago)
• Topics: age, deep-learning, emotion-detection, gender, pytorch, pytorch-ignite, race
• Language: Jupyter Notebook
• Homepage: https://alkasaliss.github.io/DEmoClassi/
• Size: 15.4 MB
• Stars: 30
• Watchers: 2
• Forks: 18
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGES.txt
  • License: LICENSE

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README

        
# DEmoClassi

DEmoClassi stands for **D**emographic (age, gender, race) and **Emo**tions 

(happy, sad, angry, ...) **Classi**fication.

This repository is an attempt to tackle the task of predicting the facial expression,

age gender and race prediction from  facial images.

As I was planning to train the models on Google Colab platform, I decided to gather 

all my utility functions/classes in a package I named democlassi which is pip 

installable via `pip install --upgrade democlassi`.

The Training is done using Pytorch and pytorch-ignite and more 

information about the data used, the training process and live prediction using 

pretrained models and opencv can be found on 

[this page](https://alkasaliss.github.io/DEmoClassi/).

Some sample predictions : 

![png](docs/samples/neutral_shot.png)

![png](docs/samples/happy_shot.png)

![png](docs/samples/angry_shot_new.png)

![png](docs/samples/sad_sht1.png)

![png](docs/samples/surprised_shot.png)