bmn.yaml

MODEL: #MODEL field
  framework: "BMNLocalizer"
  backbone:
    name: "BMN"
    tscale: 100
    dscale: 100
    prop_boundary_ratio: 0.5
    num_sample: 32
    num_sample_perbin: 3
  loss:
    name: "BMNLoss"
    tscale: 100
    dscale: 100

DATASET: #DATASET field
  batch_size: 4 #single card bacth size
  test_batch_size: 1
  num_workers: 8
  train:
    format: "BMNDataset"
    file_path: "data/dataset/bmn_data/activitynet_1.3_annotations.json"
    subset: "train"
  valid:
    format: "BMNDataset"
    file_path: "data/dataset/bmn_data/activitynet_1.3_annotations.json"
    subset: "validation"
  test:
    format: "BMNDataset"
    test_mode: True
    file_path: "data/dataset/bmn_data/activitynet_1.3_annotations.json"
    subset: "validation"

PIPELINE: #PIPELINE field
  train: #Mandotary, indicate the pipeline to deal with the training data, associate to the 'paddlevideo/loader/pipelines/'
    load_feat:
      name: "LoadFeat"
      feat_path: "data/dataset/bmn_data/fix_feat_100"
    transform: #Mandotary, image transfrom operator
      - GetMatchMap:
          tscale: 100
      - GetVideoLabel:
          tscale: 100
          dscale: 100

  valid: #Mandotary, indicate the pipeline to deal with the training data, associate to the 'paddlevideo/loader/pipelines/'
    load_feat:
      name: "LoadFeat"
      feat_path: "data/dataset/bmn_data/fix_feat_100"
    transform: #Mandotary, image transfrom operator
      - GetMatchMap:
          tscale: 100
      - GetVideoLabel:
          tscale: 100
          dscale: 100

  test: #Mandatory, indicate the pipeline to deal with the validing data. associate to the 'paddlevideo/loader/pipelines/'
    load_feat:
      name: "LoadFeat"
      feat_path: "data/dataset/bmn_data/fix_feat_100"
    transform: #Mandotary, image transfrom operator
      - GetMatchMap:
          tscale: 100
      - GetVideoLabel:
          tscale: 100
          dscale: 100

OPTIMIZER: #OPTIMIZER field
  name: 'Adam'
  learning_rate:
    iter_step: True
    name: 'CustomPiecewiseDecay'
    boundaries: [4200]
    values: [0.001, 0.0001]
  weight_decay:
    name: 'L2'
    value: 1e-4

METRIC:
  name: 'BMNMetric'
  tscale: 100
  dscale: 100
  file_path: "data/dataset/bmn_data/activitynet_1.3_annotations.json"
  ground_truth_filename: "data/dataset/bmn_data/activity_net_1_3_new.json"
  subset: "validation"
  output_path: "data/bmn/BMN_Test_output"
  result_path: "data/bmn/BMN_Test_results"


INFERENCE:
  name: 'BMN_Inference_helper'
  feat_dim: 400
  dscale: 100
  tscale: 100
  result_path: "data/bmn/BMN_INFERENCE_results"


model_name: BMN
epochs: 9 #Mandatory, total epoch
log_level: "INFO"
resume_from: "" #checkpoint path.