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@@ -54,7 +54,7 @@ https://github.com/donghao51/MultiOOD
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  MultiOOD is based on five public action recognition datasets (HMDB51, UCF101, EPIC-Kitchens, HAC, and Kinetics-600).
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  ### Prepare Datasets
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- 1. Download HMDB51 video data from [link](http://serre-lab.clps.brown.edu/wp-content/uploads/2013/10/hmdb51_org.rar) and extract. Download HMDB51 optical flow data from [link](https://huggingface.co/datasets/hdong51/MultiOOD/blob/main/hmdb51_flow_mp4.tar.gz) and extract. The directory structure should be modified to match:
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  ```
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  HMDB51
 
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  MultiOOD is based on five public action recognition datasets (HMDB51, UCF101, EPIC-Kitchens, HAC, and Kinetics-600).
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  ### Prepare Datasets
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+ 1. Download HMDB51 video data from [link](https://serre-lab.clps.brown.edu/resource/hmdb-a-large-human-motion-database/#Downloads) and extract. Download HMDB51 optical flow data from [link](https://huggingface.co/datasets/hdong51/MultiOOD/blob/main/hmdb51_flow_mp4.tar.gz) and extract. The directory structure should be modified to match:
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  ```
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  HMDB51