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DeepCell Types
Copyright (c) Van Valen Lab at the California Institute of Technology (Caltech)
Licensed under the Modified Apache License, Version 2.0 (the "License"); see
LICENSE for the full text. The License grants a non-commercial / academic
copyright and patent license; for any other use, including commercial use,
contact vanvalenlab@gmail.com.
================================================================================
THIRD-PARTY CODE
================================================================================
This product includes code adapted from the following third-party projects.
The original source is acknowledged inline at the cited file:line; each
project's license terms continue to apply to the corresponding portions of
the codebase.
--------------------------------------------------------------------------------
pytorch-multi-class-focal-loss (MIT License)
- Upstream: https://github.com/AdeelH/pytorch-multi-class-focal-loss
- Used in: deepcell_types/training/losses.py (class FocalLoss)
- License: MIT. The original repository's LICENSE file applies to the
adapted code; please consult the upstream project for the full
copyright and permission notice.
--------------------------------------------------------------------------------
deepcell-toolbox (Modified Apache License, Version 2.0)
- Upstream: https://github.com/vanvalenlab/deepcell-toolbox
- Used in: deepcell_types/preprocessing.py (_percentile_threshold,
_percentile_threshold_nonzero)
- License: Modified Apache 2.0 (same template as this project's LICENSE).
--------------------------------------------------------------------------------
Baseline models (XGBoost, MAPS, CellSighter, Nimbus)
- The re-implemented baselines under deepcell_types/baselines/ carry their
own third-party attributions and upstream license terms. See
deepcell_types/baselines/NOTICE for the full per-baseline acknowledgments
(this file is shipped as package data and installed with the wheel).