LibreRetinaNetr50 weights
-------------------------

This product contains weights released by torchvision
(https://github.com/pytorch/vision) at commit 336d36e8db990a905498c73933e35231876e28bc.
Official checkpoint: retinanet_resnet50_fpn_coco-eeacb38b.pth
Official SHA-256: eeacb38b7cec8cf93c57867e05eaab621047f19b0d2ec5accaa405f690da15b7
Converted SHA-256: a2b9d711f531bbee88eff659d11ca263792491060fa6fe0ab957541b63f12051
Copyright (c) Soumith Chintala 2016 and torchvision contributors.

The checkpoint has no separate per-object license file. Redistribution uses
the releasing project's BSD-3-Clause license on an explicitly disclosed
implied basis; this is not a publisher-confirmed checkpoint-specific grant.
Torchvision warns that pretrained-model terms may derive from training data
and users must determine permission for their use case.

Conversion only adds LibreYOLO metadata. Learned tensors are unchanged.