Imotion

Imotion is a project created during UTokyo Research Hackathon 2021.
It understands emotions an external viewer might have while observing an image, and then moves multiple agents in a way that conveys a similar emotion to the viewer.

The original code submitted to the Hackathon can be found at this repo.
This repository extends the original code for docker-support, includes bugfixes, and modified the visual aspects slightly.
The most credit for the original source code goes to:
- adata111
- leavez529
- Tanvisn

Inspiration for this idea comes from the following paper:

Santos, M., Egerstedt, M. From Motions to Emotions: Can the Fundamental Emotions be Expressed in a Robot Swarm?. Int J of Soc Robotics 13, 751–764 (2021). https://doi.org/10.1007/s12369-020-00665-6

The name Imotion is a combination of Image and Motion.

Getting started 🚀

There are about three ways to start the Imotion webserver:

• Pulling from Docker (recommended approach)
• Building Docker image by yourself
• Running by source

After starting the Imotion webserver, you can access the webservice at: http://localhost:5000

Pulling Docker image 🐳

Simply pull & run the docker image

docker run -dp 5000:5000 makokaz/imotion

That's all! 🎉

Building Docker image 🐳

1. First, clone this project by

   git clone --recurse-submodules https://github.com/makokaz/imotion.git

2. Create docker image

   docker build -t imotion .

3. Run docker image

   docker run -dp 5000:5000 imotion

Running by source

1. First, clone this project by

   git clone --recurse-submodules https://github.com/makokaz/imotion.git

2. Pull the trained artemis model from Google Drive and put it in the folder ./server/checkpoints/best_model.pt.

   Note: If the model disappeared from the Google Drive folder, it must be first trained as explained in the artemis repo.

3. In the root folder, run

   pip install -e ./artemis/ && pip install -e . && python -m textblob.download_corpora

4. To start the webserver, run

   flask run

Structure

├── app/      # the website interface files, FLASK
├── artemis/  # artemis image captioning package
├── server/   # back-end, image to emotion functionality
└── app.py    # main file that serves the imotion webserver