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@@ -38,7 +38,6 @@ Please check the paper for more details.
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  - **Curated by:** Yuan-Hao Ho ([email protected]), Jen-Hao(Andy) Cheng([email protected]) from [Information Processing Lab](https://ipl-uw.github.io/) at University of Washington
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  - **License:** [CC BY-NC-SA](https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en)
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  ### Dataset Sources
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@@ -52,7 +51,7 @@ Please check the paper for more details.
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  <!-- Address questions around how the dataset is intended to be used. -->
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  1. Download the dataset from Hugging Face (Total data size: ~1.2 TB)
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  2. Follow the [data processing tool](https://github.com/ipl-uw/RT-POSE/data_processing) to process radar ADC samples into radar tensors. (Total data size of the downloaded data and saved radar tensors: ~41 TB)
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- 3. Check the data loading and baseline method's training, testing codes in the same repo [RT-POSE](https://github.com/ipl-uw/RT-POSE)
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  ## Citation
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  - **Curated by:** Yuan-Hao Ho ([email protected]), Jen-Hao(Andy) Cheng([email protected]) from [Information Processing Lab](https://ipl-uw.github.io/) at University of Washington
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  - **License:** [CC BY-NC-SA](https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en)
 
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  ### Dataset Sources
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  <!-- Address questions around how the dataset is intended to be used. -->
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  1. Download the dataset from Hugging Face (Total data size: ~1.2 TB)
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  2. Follow the [data processing tool](https://github.com/ipl-uw/RT-POSE/data_processing) to process radar ADC samples into radar tensors. (Total data size of the downloaded data and saved radar tensors: ~41 TB)
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+ 3. Check the data loading and baseline method's training and testing codes in the same repo [RT-POSE](https://github.com/ipl-uw/RT-POSE)
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  ## Citation
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