facechannel
The FaceChannel model for facial expression recognition.
Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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✓DOI references
Found 1 DOI reference(s) in README -
✓Academic publication links
Links to: springer.com -
○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (9.7%) to scientific vocabulary
Repository
The FaceChannel model for facial expression recognition.
Basic Info
- Host: GitHub
- Owner: pablovin
- License: lgpl-3.0
- Language: Python
- Default Branch: master
- Size: 79.6 MB
Statistics
- Stars: 20
- Watchers: 2
- Forks: 11
- Open Issues: 8
- Releases: 0
Metadata Files
Readme.md
FaceChannel Library - Facial Expression Recognition Models!
This repository holds the FaceChannel Library. The FaceChannel contains different facial expression recognition models, and makes it easier to deploy and use them.
Instalation and Documentation
You can install the library using pip:
pip install facechannel
and you can check the full documentation for more information.
Also check the examples folder for a full set of ready-to-use demos!
Avaliable Models
FaceChannel is a python library that holds several facial expression recognition models. The main idea behind the FaceChannel is to facilitate the use of this technology by reducing the deployment effort. This is the current list of available models:
Model | Input Type | Output Type | ------------- | ------------- | ------------- FaceChannelV1 Cat | Single Image (64x64) | ["Neutral", "Happiness", "Surprise", "Sadness", "Anger", "Disgust", "Fear", "Contempt"] | FaceChannelV1 Dim | Single Image (64x64) | ["Arousal", "Valence"] | Self Affective Memory | Single Image (64x64) | ["Arousal", "Valence"] |
- FaceChannelV1 - Barros, P., Churamani, N., & Sciutti, A. (2020). The facechannel: A fast and furious deep neural network for facial expression recognition. SN Computer Science, 1(6), 1-10
- Self Affective Memory - Barros, P., & Wermter, S. (2017, May). A self-organizing model for affective memory. In 2017 International Joint Conference on Neural Networks (IJCNN) (pp. 31-38). IEEE.
License
All the examples in this repository are distributed under a Non-Comercial license. If you use this environment, you have to agree with the following itens:
To cite our associated references in any of your publication that make any use of these examples.
To use the environment for research purpose only.
To not provide the environment to any second parties.
Contact
Pablo Barros - pablo.alvesdebarros@iit.it
Owner
- Name: Pablo Barros
- Login: pablovin
- Kind: user
- Location: Italy
- Company: Italian Institute of Technology
- Website: http://www.pablobarros.net/
- Twitter: PBarros_br
- Repositories: 21
- Profile: https://github.com/pablovin
Affective computing research scientist working mostly with deep and self-supervised neural networks.
GitHub Events
Total
- Issues event: 1
- Watch event: 1
- Fork event: 1
Last Year
- Issues event: 1
- Watch event: 1
- Fork event: 1
Committers
Last synced: almost 3 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| pablovin | p****n@g****m | 32 |
| Pablo | p****s@i****t | 11 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 11 months ago
All Time
- Total issues: 5
- Total pull requests: 14
- Average time to close issues: N/A
- Average time to close pull requests: 4 months
- Total issue authors: 5
- Total pull request authors: 2
- Average comments per issue: 1.4
- Average comments per pull request: 0.79
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 13
Past Year
- Issues: 1
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 1
- Pull request authors: 0
- Average comments per issue: 0.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- KevinG1002 (1)
- eedy8888 (1)
- ruthshiferaw (1)
- HeshamAMH (1)
- karliell (1)
Pull Request Authors
- dependabot[bot] (13)
- TrellixVulnTeam (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 9 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 4
- Total maintainers: 1
pypi.org: facechannel
A python interface for training Reinforcement Learning agents to play the Chef's Hat Card Game.
- Homepage: https://github.com/pablovin/facechannel
- Documentation: https://facechannel.readthedocs.io/
- License: MIT
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Latest release: 0.0.3
published about 4 years ago