| --- |
| license: mit |
| library_name: libreyolo |
| pipeline_tag: object-detection |
| tags: |
| - object-detection |
| - oriented-object-detection |
| - gtr |
| - pytorch |
| - libreyolo |
| - dota |
| datasets: |
| - DOTA |
| --- |
| |
| # LibreGTRx-obb |
|
|
| GTR-X oriented-box weights for DOTA v1.0, converted for LibreYOLO. |
|
|
| GTR support is being prepared for LibreYOLO v1.6.0. Earlier PyPI releases may |
| not include this model family. |
|
|
| ## Usage |
|
|
| With a LibreYOLO version that includes GTR OBB: |
|
|
| ```python |
| from libreyolo import LibreYOLO |
| model = LibreYOLO("LibreGTRx-obb.pt") |
| result = model.predict("aerial.jpg") |
| result.obb.xywhr # (cx, cy, w, h, theta) in pixels, theta in [0, pi) |
| ``` |
|
|
| The input is a fixed 1024 by 1024 pixel square. Images are resized to fit and |
| padded at the bottom and right. Class ids follow the upstream DOTA v1.0 order: |
| plane, baseball-diamond, bridge, ground-track-field, small-vehicle, |
| large-vehicle, ship, tennis-court, basketball-court, storage-tank, |
| soccer-ball-field, roundabout, harbor, swimming-pool, helicopter. This |
| checkpoint is inference-only in LibreYOLO. |
|
|
| ## Source |
|
|
| [Official GTR implementation](https://github.com/Intellindust-AI-Lab/GTR/tree/782e737efe2e6437ac537fbdcee089673d3376c1), |
| source revision `782e737efe2e6437ac537fbdcee089673d3376c1`. |
|
|
| [Published checkpoint](https://huggingface.co/Phoenix8125/GTR/blob/9fc62c8c2b2c976835d0f1c1ffc544dbc0f9e29f/obb/gtrobb_x_dota.pth), |
| weight repository revision `9fc62c8c2b2c976835d0f1c1ffc544dbc0f9e29f`. |
| Copyright (c) 2026 Intellindust-AI-Lab. The source code is MIT licensed and the |
| publisher's weight repository explicitly declares MIT. The publisher reports |
| 81.3 AP50 on the DOTA-v1.0 test set; LibreYOLO has not reproduced it. |
|
|
| ## Modifications |
|
|
| Selected the EMA state dict and added LibreYOLO schema v1.0 metadata. |
| Learned parameters and state-dict keys are unchanged. Training/optimizer state |
| was removed. Conversion uses `weights/convert_gtr_weights.py` in the |
| [LibreYOLO source repository](https://github.com/LibreYOLO/libreyolo). |
|
|
| ## Validation |
|
|
| Checkpoint schema, exact tensor preservation and strict loading were checked |
| for this artifact. On CPU its logits and rotated boxes match the pinned |
| upstream graph exactly, and decoded boxes match upstream's post-processor. |
| DOTA benchmark accuracy and GPU latency were not independently reproduced. |
|
|
| ## License |
|
|
| MIT. See [LICENSE](./LICENSE) and [NOTICE](./NOTICE). |
|
|
