conf/dataset/egtea/anticipation_train.yaml [12:20]:
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action_labels_fpath: ${dataset.egtea.common.rulstm_annot_dir}/actions.csv
conv_to_anticipate_fn:
  _target_: datasets.base_video_dataset.convert_to_anticipation
  tau_a: ${dataset.egtea.common.tau_a}
  tau_o: ${dataset.egtea.common.tau_o}
reader_fn:  # Setting it since for EGTEA I mostly use RULSTM features
  _target_: datasets.epic_kitchens.EpicRULSTMFeatsReader
  lmdb_path: ${dataset.egtea.common.rulstm_feats_dir}/TSN-C_3_egtea_action_CE_s${dataset.egtea.common.split}_${dataset.egtea.common.modality}_model_best_fcfull_hd/
  read_type: normal
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conf/dataset/egtea/anticipation_val.yaml [12:20]:
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action_labels_fpath: ${dataset.egtea.common.rulstm_annot_dir}/actions.csv
conv_to_anticipate_fn:
  _target_: datasets.base_video_dataset.convert_to_anticipation
  tau_a: ${dataset.egtea.common.tau_a}
  tau_o: ${dataset.egtea.common.tau_o}
reader_fn:  # Setting it since for EGTEA I mostly use RULSTM features
  _target_: datasets.epic_kitchens.EpicRULSTMFeatsReader
  lmdb_path: ${dataset.egtea.common.rulstm_feats_dir}/TSN-C_3_egtea_action_CE_s${dataset.egtea.common.split}_${dataset.egtea.common.modality}_model_best_fcfull_hd/
  read_type: normal
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