content: # dataset settings
  dataset_type = 'ActivityNetDataset'
  data_root = 'data/ActivityNet/activitynet_feature_cuhk/csv_mean_100/'
  data_root_val = 'data/ActivityNet/activitynet_feature_cuhk/csv_mean_100/'
  ann_file_train = 'data/ActivityNet/anet_anno_train.json'
  ann_file_val = 'data/ActivityNet/anet_anno_val.json'
  ann_file_test = 'data/ActivityNet/anet_anno_test.json'
  
  work_dir = 'work_dirs/bsn_400x100_20e_1x16_activitynet_feature/'
  tem_results_dir = f'{work_dir}/tem_results/'
  pgm_proposals_dir = f'{work_dir}/pgm_proposals/'
  pgm_features_dir = f'{work_dir}/pgm_features/'
  
  temporal_scale = 100
  pgm_proposals_cfg = dict(
      pgm_proposals_thread=8, temporal_scale=temporal_scale, peak_threshold=0.5)
  pgm_features_test_cfg = dict(
      pgm_features_thread=4,
      top_k=1000,
      num_sample_start=8,
      num_sample_end=8,
      num_sample_action=16,
      num_sample_interp=3,
      bsp_boundary_ratio=0.2)
  pgm_features_train_cfg = dict(
      pgm_features_thread=4,
      top_k=500,
      num_sample_start=8,
      num_sample_end=8,
      num_sample_action=16,
      num_sample_interp=3,
      bsp_boundary_ratio=0.2)
  