anticipation_train.yaml

# @package _group_._name_

_target_: datasets.epic_kitchens.EPICKitchens
version: ${dataset.epic_kitchens100.common.version}
root:
  - ${dataset.epic_kitchens.common.data_dir}/train  # the old one
  # Need test too since some of epic-55 test was added to epic-100 train
  - ${dataset.epic_kitchens.common.data_dir}/test  # the old one
  - ${dataset.epic_kitchens100.common.data_dir_extension}
annotation_path:
  - ${dataset.epic_kitchens100.common.annot_dir}/EPIC_100_train.pkl
annotation_dir: ${dataset.epic_kitchens100.common.annot_dir}
rulstm_annotation_dir: ${dataset.epic_kitchens100.common.rulstm_annot_dir}  # Needed during computing final outputs to get tail classes etc.
label_type: ${dataset.epic_kitchens100.common.label_type}
embeddings_path: ${dataset.epic_kitchens100.common.embeddings_path}
similarities_path: ${dataset.epic_kitchens100.common.similarities_path}
visual_encodings_path: ${dataset.epic_kitchens100.common.visual_embeddings_path}
tubelets: ${dataset.epic_kitchens100.common.tubelets}
sample_strategy: "random_clip"
action_labels_fpath: ${dataset.epic_kitchens100.common.rulstm_annot_dir}/actions.csv
reader_fn:  # Setting it since for EGTEA I mostly use RULSTM features
  _target_: 
    - datasets.reader_fns.DefaultReader
    # - datasets.epic_kitchens.EpicRULSTMFeatsReader
  # lmdb_path:
    # - ${dataset.epic_kitchens.common.rulstm_feats_dir}/flow
    # - ${dataset.epic_kitchens.common.rulstm_feats_dir}/igm65m
    # - ${dataset.epic_kitchens.common.rulstm_feats_dir}/rgb
    # - ${dataset.epic_kitchens.common.rulstm_feats_dir}/obj
  # read_type: normal
  # warn_if_using_closeby_frame: false
conv_to_anticipate_fn:
  _target_: datasets.base_video_dataset.convert_to_anticipation
  tau_a: ${dataset.epic_kitchens100.common.tau_a}
  tau_o: ${dataset.epic_kitchens100.common.tau_o}