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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: mit
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+ task_categories:
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+ - image-feature-extraction
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+ - video-classification
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+ language:
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+ - en
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+ ---
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+
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+ # Generating_Video_Data
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+
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+ ```
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+ Hanzhe Liang
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+ modified: 23 May
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+ ```
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+
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+ 😊 This library contains some common data for training video generation models. This is a library of summary datasets, with thanks to the original authors for their contributions. Regardless of which data you need, the following steps:
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+ ```bash
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+ mkdir data
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+ cd data
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+ ```
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+ Next, go to my cloud database link and download the data you want into the folder```data/```.
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+ Once you've downloaded the data you need, we've found preprocessing steps from its official implementation, which you can follow to process the data.
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+ For memory requirements, we provide the files as single zip files, you need to extract the file named data_name.rar with the unzip command: ```unrar x data_name.rar```
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+
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+ ----
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+
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+ ### Something Something V2
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+ Please check the data path.
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+ ```bash
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+ cd somethingv2
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+ python extract_frames.py
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+ python process_somethingv2.py
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+ ```
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+ You can check data list ```somethingv2/*.txt```
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+
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+ ### Human3.6M
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+ I provided two datasets, both processed and unprocessed.
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+
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+ Unprocessed
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+ ```bash
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+ cd human36m/human36m_unprocessed
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+ python build_clip_dataset.py
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+ python make_list.py
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+ ```
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+ You can check data list ```human36m/human36m_unprocessed/*.txt```
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+
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+ or you can directly check the processed data in ```human36m/human36m_processed```
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+
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+ ### YouTubeDriving
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+ ```bash
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+ cd youtubedriving
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+ python make_list.py
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+ ```
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+ You can check data list ```youtubedriving/*.txt```