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library_name: pimm
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")
```
Architecture + hyper-parameters travel in `config.json`, so no config file is
needed. Weights are bitwise-identical to the original checkpoint.
## 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.
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