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1. Updated import paths for MoGeModel to reflect new structure.
2. Added instructions for manually downloading and setting up submodules in README.
3. Included VGGT submodule path in pipelines.py for improved functionality.
3. Make sure the submodule and requirements are installed:
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```
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mkdir -p submodules
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git submodule update --init --recursive
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pip install -r requirements.txt
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```
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If the submodules are not installed, you need to manually download them and move them to `submodules/`. Run the following commands to install the submodules:
- SpatialTracker checkpoint: [Google Drive](https://drive.google.com/drive/folders/1UtzUJLPhJdUg2XvemXXz1oe6KUQKVjsZ) and move it to `checkpoints/`.
@@ -116,7 +124,7 @@ python demo.py \
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--output_dir <output_dir> \ # output directory
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--input_path <input_path> \ # the reference image or video path
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--camera_motion <camera_motion> \ # the camera motion type, see examples below
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--tracking_method <tracking_method> \ # the tracking method (moge, spatracker). For image input, 'moge' is necessary.
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--tracking_method <tracking_method> \ # the tracking method (moge, spatracker, cotracker). For image input, 'moge' is necessary.
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--gpu <gpu_id> \ # the gpu id
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```
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@@ -345,6 +353,7 @@ This project builds upon several excellent open source projects:
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*[MoGe](https://github.com/microsoft/MoGe) - Microsoft's monocular geometry estimation model that helps achieve more accurate 3D reconstruction.
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*[vggt](https://github.com/facebookresearch/vggt) - Facebook's video generation model that provides the foundational architecture for this project.
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We thank the authors and contributors of these projects for their valuable contributions to the open source community!
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