emolysis

[ACII Demo] Emolysis: A Multimodal Open-Source Group Emotion Analysis and Visualization Toolkit

https://github.com/controlnet/emolysis

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
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  • DOI references
  • Academic publication links
    Links to: arxiv.org, ieee.org
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  • Scientific vocabulary similarity
    Low similarity (12.8%) to scientific vocabulary

Keywords

affective-computing computer-vision deep-learning emotion-recognition
Last synced: 6 months ago · JSON representation ·

Repository

[ACII Demo] Emolysis: A Multimodal Open-Source Group Emotion Analysis and Visualization Toolkit

Basic Info
Statistics
  • Stars: 15
  • Watchers: 3
  • Forks: 2
  • Open Issues: 1
  • Releases: 1
Topics
affective-computing computer-vision deep-learning emotion-recognition
Created about 3 years ago · Last pushed 9 months ago
Metadata Files
Readme License Citation

README.md

Emolysis: A Multimodal Open-Source Group Emotion Analysis and Visualization Toolkit

This repo is official repository for the paper Emolysis: A Multimodal Open-Source Group Emotion Analysis and Visualization Toolkit.

Get Started

We provided a static demo review for you to try. Please visit https://emolysis.controlnet.space/local/1.

If you want to analyze your own video, please follow the instructions below to deploy the server.

Deploy the Server

From Docker (x86 with CUDA)

Requires: - Docker - nvidia-docker

Run the server. bash docker run --runtime nvidia -p <PORT>:8000 [-v <CACHE_DIR_FOR_MODELS>:/app/checkpoints] --name emolysis controlnet/emolysis

Then, you can access the app at http://127.0.0.1:<PORT>.

From Source

Requires: - Conda - Node.js

Install dependencies. bash npm install npm run build cd service bash -i build_env.sh # use `build_env.mac.sh` for arm-based mac conda activate emolysis cd ..

Run the server. bash python service/main.py --port <PORT>

Then, you can access the app at http://127.0.0.1:<PORT>.

References

If you find this work useful for your research, please consider citing it. bibtex @inproceedings{ghosh2024emolysis, title={Emolysis: A multimodal open-source group emotion analysis and visualization toolkit}, author={Ghosh, Shreya and Cai, Zhixi and Gupta, Parul and Sharma, Garima and Dhall, Abhinav and Hayat, Munawar and Gedeon, Tom}, booktitle={2024 12th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)}, pages={116--118}, year={2024}, organization={IEEE} }

Owner

  • Name: ControlNet
  • Login: ControlNet
  • Kind: user

Study on: Computer Vision | Artificial Intelligence

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you find this work useful for your research, please consider citing it."
preferred-citation:
  type: conference-paper
  authors:
  - family-names: "Ghosh"
    given-names: "Shreya"
  - family-names: "Cai"
    given-names: "Zhixi"
  - family-names: "Gupta"
    given-names: "Parul"
  - family-names: "Sharma"
    given-names: "Garima"
  - family-names: "Dhall"
    given-names: "Abhinav"
  - family-names: "Hayat"
    given-names: "Munawar"
  - family-names: "Gedeon"
    given-names: "Tom"
  collection-title: "12th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)"
  title: "Emolysis: A Multimodal Open-Source Group Emotion Analysis and Visualization Toolkit"
  year: 2024
  start: 116
  end: 118

GitHub Events

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  • Issues event: 3
  • Watch event: 9
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  • Issues event: 3
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Dependencies

.github/workflows/build.yaml actions
  • actions/checkout v1 composite
  • docker/build-push-action v4 composite
  • docker/login-action v2 composite
  • robinraju/release-downloader v1.7 composite
.github/workflows/server-test.yaml actions
  • actions/checkout v1 composite
  • actions/setup-python v1 composite
  • robinraju/release-downloader v1.7 composite
Dockerfile docker
  • pytorch/pytorch 1.13.1-cuda11.6-cudnn8-runtime build
package.json npm
  • @types/d3 ^7.4.0 development
  • @types/lodash ^4.14.191 development
  • @types/node ^18.11.12 development
  • @vitejs/plugin-vue ^4.0.0 development
  • @vitejs/plugin-vue-jsx ^3.0.0 development
  • @vue/tsconfig ^0.1.3 development
  • autoprefixer ^10.4.13 development
  • npm-run-all ^4.1.5 development
  • postcss ^8.4.20 development
  • tailwindcss ^3.2.4 development
  • typescript ~4.9.4 development
  • vite ^4.0.0 development
  • vue-tsc ^1.0.12 development
  • @fortawesome/fontawesome-svg-core ^6.2.1
  • @fortawesome/free-brands-svg-icons ^6.2.1
  • @fortawesome/free-regular-svg-icons ^6.2.1
  • @fortawesome/free-solid-svg-icons ^6.2.1
  • @fortawesome/vue-fontawesome ^3.0.2
  • axios ^1.2.2
  • d3 ^7.8.0
  • daisyui ^2.46.1
  • lodash ^4.17.21
  • pinia ^2.0.28
  • vue ^3.2.45
  • vue-router ^4.1.6