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### Dataset
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Sample dataset can be downloaded from [EWalk: Emotion Walk](http://gamma.cs.unc.edu/GAIT/#EWalk). Sample H5 files can be found in [GitHub](https://github.com/vijay4313/proxemo/tree/master/emotion_classification/sample_data). For full dataset, please contact the authors.
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Sample dataset can be downloaded from [EWalk: Emotion Walk](http://gamma.cs.unc.edu/GAIT/#EWalk). Sample H5 files can be found in [GitHub](https://github.com/vijay4313/proxemo/tree/master/emotion_classification/sample_data) under `[proxemo folder]/emotion_classification/sample_data`. For full dataset, please contact the authors.
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### Pretrained model
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VS-GCNN model trained on the above dataset can be loaded from [proxemo folder]/emotion_classification/trained_models
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VS-GCNN model trained on the above dataset can be loaded from [trained_models](https://github.com/vijay4313/proxemo/tree/master/emotion_classification/trained_models) folder - `[proxemo folder]/emotion_classification/trained_models`
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### Augmenting the dataset for different views
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Run `[proxemo folder]/emotion_classification/utils/gataGenerator.py` to augment original dataset to different view angles. Check the source and destination folder paths in main loop and run the python script. The default settings will generate augmented data for 4 view angles.
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Run `[proxemo folder]/emotion_classification/utils/dataGenerator.py` to augment original dataset to different view angles. Check the source and destination folder paths in main loop and run the python script. The default settings will generate augmented data for 4 view angles.
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