MODEL:
    name: "BSNTEM"
    tscale: 100
    feat_dim: 400
    hidden_dim: 256
    gt_boundary_ratio: 0.1
    prop_boundary_ratio: 0.5
    num_sample: 32
    num_sample_perbin: 3
    anno_file: "data/dataset/bmn/activitynet_1.3_annotations.json"
    feat_path: 'data/dataset/bmn/fix_feat_100'
    pgm_top_K_train: 500
    pgm_top_K: 1000
    pgm_threshold: 0.5
    bsp_boundary_ratio: 0.25
    num_sample_start: 8
    num_sample_end: 8
    num_sample_action: 16
    num_sample_perbin: 3
    pgm_thread: 12

TRAIN:
    subset: "train"
    epoch: 9
    batch_size: 16
    num_threads: 8
    use_gpu: True
    num_gpus: 1 
    learning_rate: 0.001
    learning_rate_decay: 0.1
    lr_decay_iter: 4200
    l2_weight_decay: 1e-4

VALID:
    subset: "validation"
    batch_size: 16
    num_threads: 8
    use_gpu: True
    num_gpus: 1

TEST:
    subset: "train_val"
    batch_size: 1
    num_threads: 1
    score_thresh: 0.001
    output_path_tem: "data/output/EVAL/TEM_results"
    output_path_pgm_proposal: "data/output/EVAL/PGM_proposals"
    output_path_pgm_feature: "data/output/EVAL/PGM_feature"

INFER:
    subset: "test"
    filelist: 'data/dataset/bmn/infer.list'
    batch_size: 1
    num_threads: 1
    output_path_tem: "data/output/INFER/TEM_results"
    output_path_pgm_proposal: "data/output/INFER/PGM_proposals"
    output_path_pgm_feature: "data/output/INFER/PGM_feature"