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