LibreFCOS -- third-party attribution
====================================

Source: https://github.com/pytorch/vision
Commit: 336d36e8db990a905498c73933e35231876e28bc (torchvision v0.26.0)
Source file blob: ccbd2496517c33b74a1a1581e0cbf3b3f173bfed
License: BSD-3-Clause
Copyright (c) Soumith Chintala 2016

The native inference graph in nn.py is derived from torchvision's FCOS
detector, classification/regression heads, anchor generator, ResNet-50/FPN
builder, box coder, image transform, and final postprocessing. LibreYOLO
retains the official state-dict layout and adds its own factory, checkpoint
metadata, validation, contiguous COCO-80 mapping, and export/backend
integration. Training-only assignment and loss code is not included.

The official COCO checkpoint used for parity is not distributed in the
LibreYOLO source tree. Its separate LibreYOLO Hugging Face mirror uses
BSD-3-Clause on an explicitly disclosed implied basis: the checkpoint is
released by the BSD-licensed project but does not carry a per-object license
file. 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. The mirror ships the verbatim 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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