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Web application demonstrating XAITK Saliency functionality

Project description

Web application demonstrating XAITK Saliency functionality

Installing

It is recommended to use conda to properly install the various ML packages.

macOS conda setup

brew install miniforge
conda init zsh

venv creation for AI

conda create --name xaitk python=3.9 -y
conda activate xaitk

# For development when inside repo
pip install -e .

# For testing (no need to clone repo)
pip install xaitk-saliency-demo

Run the application

conda activate xaitk
xaitk-saliency-demo

image_1 image_2 image_3 image_4

Contribute

Commit messages needs to follow semantic-release expectation.

  • fix(scope): summary will trigger a +0.0.1 version

  • feat(scope): summary will trigger a +0.1.0 version bump

  • ci/chore/docs will not trigger a release

Then to move to +1.0.0 you need to add a BREAKING CHANGE: xyz after the body of the commit message.

Docker image

For each commit to master the CI will push a new kitware/trame:xaitk image to dockerhub. Such image can be ran locally using the following command line.

docker run -it --rm --gpus all -p 8080:80 kitware/trame:xaitk

Project details


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