| --- |
| license: bsd-3-clause |
| library_name: libreyolo |
| pipeline_tag: object-detection |
| datasets: |
| - detection-datasets/coco |
| tags: |
| - object-detection |
| - faster-rcnn |
| - torchvision |
| - libreyolo |
| --- |
| |
| # LibreFasterRCNNl |
|
|
| Modernized Faster R-CNN (ResNet-50 FPN v2 enhanced-recipe variant), repackaged for LibreYOLO. |
| This is a torchvision COCO recipe, not the original 2015 VGG16 architecture. |
|
|
| ```python |
| from libreyolo import LibreYOLO |
| |
| model = LibreYOLO("LibreFasterRCNNl.pt") |
| results = model.predict("image.jpg") |
| ``` |
|
|
| ## Source |
|
|
| Derived from [pytorch/vision](https://github.com/pytorch/vision) at commit |
| [`336d36e8db990a905498c73933e35231876e28bc`](https://github.com/pytorch/vision/commit/336d36e8db990a905498c73933e35231876e28bc). |
| Copyright (c) Soumith Chintala 2016 and torchvision contributors. The source |
| implementation is BSD-3-Clause. |
|
|
| Official checkpoint: [fasterrcnn_resnet50_fpn_v2_coco-dd69338a.pth](https://download.pytorch.org/models/fasterrcnn_resnet50_fpn_v2_coco-dd69338a.pth) |
| SHA-256: `dd69338a24b8d7381807e247652bdc356325bcbaf1cd3e092e00e0a1a58706bf` |
| Published COCO val2017 box mAP: 46.7. |
|
|
| ## Modifications |
|
|
| Checkpoint metadata was added for LibreYOLO's v1.0 schema. Learned tensors and |
| state-dict keys are unchanged. The native LibreYOLO graph loads the official |
| state dict strictly and has exact eager parity at the RPN head, RoI predictor, |
| and final detections. See `weights/convert_faster_rcnn_weights.py` in the |
| [LibreYOLO source repository](https://github.com/LibreYOLO/libreyolo). |
|
|
| ## Benchmarks |
|
|
| Independent accuracy and speed benchmarks: |
| [visionanalysis.org/model/faster_rcnn-l](https://www.visionanalysis.org/model/faster_rcnn-l) |
|
|
| ## License |
|
|
| The checkpoint publisher did not attach a separate per-object license file. |
| This mirror applies the releasing project's BSD-3-Clause license on an |
| **implied**, not publisher-confirmed, basis. Torchvision warns that pretrained |
| models may have their own licenses or terms derived from training data and |
| that users must determine whether they have permission for their use case. |
| COCO annotations are CC BY 4.0; source images retain their individual Flickr |
| terms. See [`LICENSE`](./LICENSE) and [`NOTICE`](./NOTICE). |
|
|
