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  # OvDSGG Readme
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  [![arXiv](https://img.shields.io/badge/arXiv-2608.14835-b31b1b.svg)](https://arxiv.org/abs/2608.14835)
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  ./install.sh
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  ```
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- Sometimes GroundingDINO gives a `ModuleNotFoundError` - I think this is because some HexGPU nodes are using different Python versions. You can try rebuilding it with:
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- ```bash
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- pip install -e ./GroundingDINO --no-build-isolation
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- ```
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-
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  ## Prepare Data
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  We use the dataset Action Genome to train and evaluate OvDSGG. Please process the downloaded dataset with the [Toolkit](https://github.com/JingweiJ/ActionGenome) and put the [processed annotation files](https://drive.google.com/drive/folders/1tdfAyYm8GGXtO2okAoH1WgVHVOTl1QYe) with COCO style into annotations folder. The directories of the dataset should look like:
 
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+ ---
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+ license: apache-2.0
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+ library_name: pytorch
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+ tags:
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+ - computer-vision
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+ - scene-graph-generation
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+ - open-vocabulary
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+ - dynamic-scene-graph-generation
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+ - action-genome
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+ datasets:
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+ - action-genome
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+ pipeline_tag: object-detection
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+ ---
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+
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  # OvDSGG Readme
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  [![arXiv](https://img.shields.io/badge/arXiv-2608.14835-b31b1b.svg)](https://arxiv.org/abs/2608.14835)
 
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  ./install.sh
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  ```
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  ## Prepare Data
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  We use the dataset Action Genome to train and evaluate OvDSGG. Please process the downloaded dataset with the [Toolkit](https://github.com/JingweiJ/ActionGenome) and put the [processed annotation files](https://drive.google.com/drive/folders/1tdfAyYm8GGXtO2okAoH1WgVHVOTl1QYe) with COCO style into annotations folder. The directories of the dataset should look like: