LibreDeepLabv3 -- third-party attribution
=========================================

Source: https://github.com/pytorch/vision
Commit: 336d36e8db990a905498c73933e35231876e28bc (torchvision v0.26.0)
License: BSD-3-Clause
Copyright (c) Soumith Chintala 2016

The native inference graph in nn.py is derived from torchvision's DeepLabv3
orchestration, ASPP modules, classifier head, and backbone builders. LibreYOLO
retains the upstream runtime state-dict layout and uses torchvision's
BSD-licensed ResNet, MobileNetV3, and IntermediateLayerGetter building blocks.
It adds its own factory, checkpoint metadata, semantic result handling,
validation, and export/backend integration. The training-only auxiliary FCN
classifier is intentionally excluded.

The three official COCO-trained checkpoints used for parity are not distributed
in the LibreYOLO source tree. Their separate LibreYOLO Hugging Face mirrors use
BSD-3-Clause on an explicitly disclosed implied basis: the checkpoints are
released by the BSD-licensed project but do not carry per-object license files.
Torchvision's README warns that pretrained-model terms may derive from training
data and that users remain responsible for determining permission for their
use case. Each mirror ships this BSD text and repeats that caveat; it must not
be described as an explicit checkpoint-specific grant.

BSD 3-Clause License

Copyright (c) Soumith Chintala 2016,
All rights reserved.

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