An Open-source Framework for Benchmarking Explanation Methods in Computer Vision.
:warning: Note: The first version (0.1.0) of this package is still a work in progress.
pip install pre-commit
and then pre-commit install
. The hooks will be
automatically triggered when running git commit
. One can also manually trigger the hooks with
pre-commit run --all-files
.torch
.pip install -r requirements_dev.txt
.pip install -e .
..git/info/exclude
to make them ignored by git. Note that
some common directories like .idea
, .vscode
are already in the .gitignore
file.docs/
and install the requirements: cd docs/ && pip install -r requirements_doc.txt
.docs/
. Build the html webpage: make html
.docs/build/
and then host the webpage locally: cd build/ && python -m http.server <port>
, where port
is a number (e.g., 1234).localhost:<port>
in a browser.