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tags:
- 6d-pose-estimation
- pose-estimation
- computer-vision
- pytorch
datasets:
- NTU-AI2Lab/RDPN-data
---
# RDPN
Pretrained checkpoints and metadata for RDPN. Training data archives are in [NTU-AI2Lab/RDPN-data](https://huggingface.co/datasets/NTU-AI2Lab/RDPN-data).
## Contents
- `checkpoints/lmso/` — per-object checkpoints for LM (13 objects)
- `checkpoints/lmoso/` — per-object checkpoints for LM-O (8 objects)
- `checkpoints/mp6dso/` — per-object checkpoints for MP6D (`obj_01`–`obj_20`)
- `metadata/` — models, image sets, bounding boxes and test targets for `lm`, `lmo`, `MP6D` and `YCBV`
## Download
```bash
hf download NTU-AI2Lab/RDPN --local-dir RDPN
```
or a single checkpoint:
```python
from huggingface_hub import hf_hub_download
path = hf_hub_download("NTU-AI2Lab/RDPN", "checkpoints/lmso/ape.pth")
```
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