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Update sequence model with new trained checkpoint (Seq_reweight5/checkpoint-best.pth)

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  1. README.md +3 -53
  2. config.json +3 -4
  3. model.safetensors +1 -1
README.md CHANGED
@@ -6,56 +6,6 @@ tags:
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  - pytorch_model_hub_mixin
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  ---
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-
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- # St4RTrack: Simultaneous 4D Reconstruction and Tracking in the World
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-
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- ```bibtex
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- @inproceedings{st4rtrack2025,
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- title={St4RTrack: Simultaneous 4D Reconstruction and Tracking in the World},
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- author={Feng*, Haiwen and Zhang*, Junyi and Wang, Qianqian and Ye, Yufei and Yu, Pengcheng and Black, Michael J. and Darrell, Trevor and Kanazawa, Angjoo},
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- booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
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- year={2025}
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- }
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- ```
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-
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- ## Model info
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-
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- Github page: https://github.com/HavenFeng/St4rTrack-Release
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- Project page: https://st4rtrack.github.io/
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- Paper: https://arxiv.org/abs/2504.13152
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-
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-
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- ## How to Use
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-
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- First install St4rTrack. To load the model (by default checkpoint trained with Sequence Mode):
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-
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- ```python
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- from dust3r.model import AsymmetricCroCo3DStereo
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-
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- # Loads default Seq checkpoint
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- model = AsymmetricCroCo3DStereo.from_pretrained("yupengchengg147/St4rTrack")
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-
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- ```
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-
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- run following code to load checkpoint trained with Pair Mode:
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- ```python
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- from huggingface_hub import hf_hub_download
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- import tempfile
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- import os
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- from dust3r.model import AsymmetricCroCo3DStereo
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-
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- # Create a temporary directory for the model files
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- temp_dir = os.path.join(tempfile.gettempdir(), "st4rtrack_pair")
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- os.makedirs(temp_dir, exist_ok=True)
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-
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- # Download the config and model files from the Pair subfolder
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- config_path = hf_hub_download(
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- repo_id="yupengchengg147/St4rTrack",
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- filename="Pair/config.json",
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- cache_dir=temp_dir
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- )
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- # Load the model from the downloaded path
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- model_dir = os.path.dirname(config_path)
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- model = AsymmetricCroCo3DStereo.from_pretrained(model_dir)
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-
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- ```
 
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  - pytorch_model_hub_mixin
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  ---
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+ This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
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+ - Library: https://github.com/naver/dust3r
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+ - Docs: [More Information Needed]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
config.json CHANGED
@@ -24,12 +24,11 @@
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  512,
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  288
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  ],
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- "landscape_only": false,
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  "output_mode": "pts3d",
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- "patch_embed_cls": "PatchEmbedDust3R",
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  "pos_embed": "RoPE100",
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  "random_init": "none",
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  "random_init_lr_scale": 1.0,
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- "rope_mode": "full_3d",
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- "seq_mode": "NA"
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  }
 
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  512,
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  288
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  ],
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+ "landscape_only": true,
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  "output_mode": "pts3d",
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+ "patch_embed_cls": "ManyAR_PatchEmbed",
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  "pos_embed": "RoPE100",
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  "random_init": "none",
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  "random_init_lr_scale": 1.0,
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+ "rope_mode": "full_3d"
 
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  }
model.safetensors CHANGED
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