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@@ -74,17 +74,17 @@ Our dataset encompasses 880 categories, aimed at assessing the occlusion reasoni
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  through the paradigm of Tracking Any Object with Amodal perception (TAO-Amodal).
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  ### Dataset Download
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- 1. Download all the annotations.
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  ```bash
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  git lfs install
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  git clone [email protected]:datasets/chengyenhsieh/TAO-Amodal
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  ```
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- 2. Download all the video frames:
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- You can either download the frames following the instructions [here](https://motchallenge.net/tao_download.php) (recommended) or modify our provided [script](./download_TAO.sh) and run
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- ```bash
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- bash download_TAO.sh
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  ```
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  through the paradigm of Tracking Any Object with Amodal perception (TAO-Amodal).
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  ### Dataset Download
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+ 1. Download with git:
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  ```bash
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  git lfs install
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  git clone [email protected]:datasets/chengyenhsieh/TAO-Amodal
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  ```
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+ 2. Download with [`python`](https://huggingface.co/docs/huggingface_hub/guides/download#download-files-from-the-hub):
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+ ```python
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+ from huggingface_hub import snapshot_download
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+ snapshot_download(repo_id="chengyenhsieh/TAO-Amodal")
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  ```
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