troj 0.0.8

TrojAI provides the troj Python convenience package to allow users to integrate TrojAI adversarial protections and robustness metrics seamlessly into their AI development pipelines.

TrojAI Integration Package

TrojAI provides the troj Python convenience package to allow users to integrate TrojAI adversarial protections and robustness metrics seamlessly into their AI development pipelines.

Installation

Run the following to install:

pip install troj

Usage

'''
ImageNet folder style: 
/train
----/class1
----/class2
...
/test
----/class1
----/class2
...etc 

CoCo annotation style:
/images
----image1.jpg
----image2.jpg
...etc
annotation.json

'''

Things we need to upload to aws in test loop

1. Images
2. Labels
3. Embeddings
4. Inferences
5. Perturbations

How to develop locally

these commands add the local package to the wheel pip install wheel python setup.py bdist_wheel pip install -e.[dev]

Build the package under dist folder using this, will create tar.gz and .whl for version id in setup.py: python -m build

Upload it to testpypi repo using this (remove --repository flag to go live, make sure dist only has the files you expect): python -m twine upload --repository testpypi dist/*

python -m twine upload dist/*

When install from testpypi repo you need this format: pip install --extra-index-url https://test.pypi.org/simple/ package_name_here https://stackoverflow.com/questions/51589673/pip-install-producing-could-not-find-a-version-that-satisfies-the-requirement - otherwise dependency packages wont be looked for on live pypi

Examples

Pytorch Colab Notebook: https://colab.research.google.com/drive/12F_N4OuO458z_lCF1w3cOHdqDZOc6Nd9#scrollTo=00552zIlGvcD

Tensorflow Colab Notebook: https://colab.research.google.com/drive/1G9S02HuDH7YsvWZD-RpgWKdIsQct5qBZ#scrollTo=noeHXX2f6_OO