| --- |
| library_name: pimm |
| datasets: |
| - DeepLearnPhysics/PILArNet-M |
| tags: |
| - particle-physics |
| - lartpc |
| - point-cloud |
| --- |
| |
| # Panda — semantic segmentation |
|
|
| 5-class LArTPC semantic segmentation: PTv3 encoder–decoder + linear per-point head. |
|
|
| - **pimm type:** `DefaultSegmentorV2` · 5 classes |
|
|
| ## Loading |
|
|
| ```python |
| import pimm |
| model = pimm.from_pretrained("hf://deeplearnphysics/panda-semantic") |
| ``` |
|
|
| ## Provenance |
|
|
| Repackaged from the original [`panda`](https://github.com/DeepLearnPhysics/panda) checkpoints into the [`pimm`](https://github.com/youngsm/particle-imaging-models) export format. Inherits the source repo's license. |
|
|
