bmn.yaml

MODEL:
  name: "BMN"
  tscale: 100
  dscale: 100
  feat_dim: 400
  prop_boundary_ratio: 0.5
  num_sample: 32
  num_sample_perbin: 3
  anno_file: "../../PaddleCV/PaddleVideo/data/dataset/bmn/activitynet_1.3_annotations.json"
  feat_path: './fix_feat_100'

TRAIN:
  subset: "train"
  epoch: 9
  batch_size: 16
  num_threads: 8
  use_gpu: True
  num_gpus: 4
  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: 4

TEST:
  subset: "validation"
  batch_size: 1
  num_threads: 1
  snms_alpha: 0.001
  snms_t1: 0.5
  snms_t2: 0.9
  output_path: "output/EVAL/BMN_results"
  result_path: "evaluate_results"

INFER:
  subset: "test"
  batch_size: 1
  num_threads: 1
  snms_alpha: 0.4
  snms_t1: 0.5
  snms_t2: 0.9
  filelist: './infer.list'
  output_path: "output/INFER/BMN_results"
  result_path: "predict_results"