| 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. | |