NeuroCartography

NeuroCartography is an interactive visualization system for scalable automatic visual summarization of concepts in deep neural networks.

• 📄 Our manuscript
• 🎥 Video
• 💛 Demo

Set up conda environment

Run the followng command to create a conda environment for our method:

conda env create -f environment.yml

This will generate a conda environment called neuro-cartography. Run the following command to activate th conda environment.

conda activate neuro-cartography

Live Demo

For a live demo, visit: https://poloclub.github.io/neuro-cartography/

Running Bluff user interface Locally

• Download or clone this repository:

  git clone https://github.com/poloclub/neuro-cartography.git

• Within neuro-cartography repo, run:

  python -m http.server <PORT>
  

  For example,

  python -m http.server 8080

  To run this command, python 3 is needed.

• Open any web browser and go to http://localhost:<PORT>. For example, http://localhost:8080 if you used port 8080.

• You can find the frontend code in neuro-cartography/src/interface.

Generate data for NeuroCartography

ImageNet Dataset

• We used tfrecord ImageNet Datasete.

Code Structure

The codes to generate data are in neuro-cartography/src/python.