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Author:
Mateusz Walo, Diana Morzhak, Dominika Zydorczyk, Zuzanna Saczuk
License:
MIT
Summary:
BNNR: XAI-driven augmentation & diagnostics for PyTorch vision - find model failures, fix with saliency-guided augmentation (ICD/AICD), prove with auditable reports.
Latest version:
0.6.4
Required dependencies:
click
|
grad-cam
|
numpy
|
opencv-python
|
pydantic
|
pyyaml
|
scikit-learn
|
torch
|
torchvision
|
tqdm
|
typer
Optional dependencies:
albumentations
|
bandit
|
fastapi
|
httpx
|
kornia
|
mypy
|
pip-audit
|
playwright
|
pre-commit
|
pytest
|
pytest-cov
|
qrcode
|
ruff
|
starlette
|
types-pyyaml
|
ultralytics
|
uvicorn
|
websockets
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