LibreRetinaNetr50v2 weights
---------------------------

This product contains weights released by torchvision
(https://github.com/pytorch/vision) at commit 336d36e8db990a905498c73933e35231876e28bc.
Official checkpoint: retinanet_resnet50_fpn_v2_coco-5905b1c5.pth
Official SHA-256: 5905b1c544219215e544dbe319720397bc4e68de61a733a59350d7976645b769
Converted SHA-256: 9ebdda7b2f496124233389bf42ea6efd906973b743392422a21757f94635c2f7
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.