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AT-IG

Codes of "Detect early neurodevelopmental impairment for infants via time-series anomaly detection". Our AT-IG model is developed from the original AT model.

Main environment setting

Python=3.8
Pytorh=1.7.0 (py3.8_cuda11.0.221)
torchvision=0.8.1

Dataset setting

  1. The used skeleton datasets can be requested by email [[email protected]].

Training and test

  python main_bone.py --input_c 150 --output_c 150  --model_save_path "checkpoints/seed_2021" --seed seed_2021 --dataset_folder [data_path]/seed_2021 --data_path [data_path]/seed_2021/precessed --gpu_id 0  --add_info_gain True

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