| 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. | |