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--- |
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library_name: das3r |
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tags: |
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- image-to-3d |
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- model_hub_mixin |
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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/kai422/DAS3R |
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- Docs: [More Information Needed] |
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## DAS3R: Dynamics-Aware Gaussian Splatting for Static Scene Reconstruction |
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<video controls autoplay loop> |
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<source src="https://kai422.github.io/DAS3R/assets/davis.mp4" type="video/mp4"> |
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Your browser does not support the video tag. |
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</video> |
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<video controls autoplay loop> |
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<source src="https://kai422.github.io/DAS3R/assets/sintel.mp4" type="video/mp4"> |
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Your browser does not support the video tag. |
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</video> |
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# Model info |
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- GitHub page: https://github.com/kai422/DAS3R |
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- Project page: https://kai422.github.io/DAS3R/ |
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# How to use |
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First, [install das3r](https://github.com/kai422/DAS3R). |
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To load the model: |
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```python |
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from dust3r.model import AsymmetricCroCo3DStereo |
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import torch |
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model = AsymmetricCroCo3DStereo.from_pretrained("Kai422kx/das3r") |
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu") |
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model.to(device) |
