LibreVGG -- third-party attribution
===================================

Source: https://github.com/pytorch/vision
Commit: 10f68dbd78b9aa5cab9328f3b2e99cfb0b608122
File: torchvision/models/vgg.py
License: BSD-3-Clause
Copyright (c) Soumith Chintala 2016

The native inference graph in nn.py is derived from torchvision's VGG
implementation. LibreYOLO retains the upstream feature and classifier module
layout so the official VGG-16, VGG-19, VGG-16-BN, and VGG-19-BN state dicts
load unchanged. LibreYOLO adds its own factory, checkpoint metadata,
preprocessing, result payload, and export/backend integration. Training is not
included.

The four official ImageNet-1k V1 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 warns that pretrained-model terms can depend on the training data
and that users must determine permission for their use case. Each mirror ships
the verbatim BSD license and repeats that caveat; the license 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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