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The pipeline to generate ST-GCN visual features for SMIE

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SMIE_Generate_Feature

The pipeline to generate ST-GCN visual features for SMIE.

After splitting the data of different unseen classes using split.py, utilize gen_feature.py to obtain the corresponding visual features for ST-GCN.

Modify gen_config.py to select a different split_id for different datasets and customize the storage location.

$ python gen_feature.py

We also provide model weights for ST-GCN corresponding to the split_id in SMIE: Model Weights

code:smie

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The pipeline to generate ST-GCN visual features for SMIE

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