models/official/detection/projects/vild/configs/vild_ensemble_resnet.yaml [23:150]:
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batch_norm_activation:
  activation: relu
  batch_norm_epsilon: 0.0001
  batch_norm_momentum: 0.997
  batch_norm_trainable: true
  use_sync_bn: true
dropblock:
  dropblock_keep_prob: null
  dropblock_size: null
enable_summary: false
eval:
  eval_batch_size: 8
  eval_dataset_type: tfrecord
  eval_samples: 19809
  eval_timeout: null
  min_eval_interval: 5
  num_steps_per_eval: 1000
  per_category_metrics: false
  skip_eval_loss: false
  suffix: ''
  type: lvis_box_and_mask
  use_json_file: true
fpn:
  fpn_feat_dims: 256
  use_batch_norm: true
  use_separable_conv: false
frcnn_box_loss:
  huber_loss_delta: 1.0
frcnn_class_loss:
  mask_rare: true
frcnn_head:
  class_agnostic_bbox_pred: true
  clip_dim: 512
  fc_dims: 1024
  normalize_classifier: true
  normalize_visual: true
  num_convs: 4
  num_fcs: 2
  num_filters: 256
  temperature: 100.0
  use_batch_norm: true
  use_separable_conv: false
mask_sampling:
  num_mask_samples_per_image: 128
mrcnn_head:
  class_agnostic_mask_pred: true
  num_convs: 4
  num_filters: 256
  use_batch_norm: true
  use_separable_conv: false
postprocess:
  apply_nms: true
  apply_sigmoid: false
  discard_background: false
  max_total_size: 300
  nms_iou_threshold: 0.5
  nms_version: v1
  pre_nms_num_boxes: 1000
  score_threshold: 0.0
  use_batched_nms: false
predict:
  predict_batch_size: 8
resnet:
  init_drop_connect_rate: null
  resnet_depth: 50
roi_proposal:
  rpn_min_size_threshold: 0.0
  rpn_nms_threshold: 0.7
  rpn_post_nms_top_k: 1000
  rpn_pre_nms_top_k: 2000
  rpn_score_threshold: 0.0
  test_rpn_min_size_threshold: 0.0
  test_rpn_nms_threshold: 0.7
  test_rpn_post_nms_top_k: 1000
  test_rpn_pre_nms_top_k: 1000
  test_rpn_score_threshold: 0.0
  use_batched_nms: false
roi_sampling:
  bg_iou_thresh_hi: 0.5
  bg_iou_thresh_lo: 0.0
  cascade_iou_thresholds: null
  fg_fraction: 0.25
  fg_iou_thresh: 0.5
  mix_gt_boxes: true
  num_samples_per_image: 512
rpn_box_loss:
  huber_loss_delta: 0.1111111111111111
rpn_head:
  anchors_per_location: null
  cast_to_float32: true
  num_convs: 2
  num_filters: 256
  use_batch_norm: true
  use_separable_conv: false
rpn_score_loss:
  rpn_batch_size_per_im: 256
train:
  checkpoint:
    path: ''
    prefix: ''
    skip_variables_regex: ''
  frozen_variable_prefix: frcnn_layer_0/fast_rcnn_head/class-predict
  gradient_clip_norm: 0.0
  input_partition_dims: null
  iterations_per_loop: 100
  l2_weight_decay: 4.0e-05
  learning_rate:
    init_learning_rate: 0.32
    learning_rate_levels: [0.032, 0.0032]
    learning_rate_steps: [162000, 171000, 175500]
    type: step
    warmup_learning_rate: 0.0032
    warmup_steps: 1000
  losses: all
  num_cores_per_replica: null
  optimizer:
    momentum: 0.9
    type: momentum
  pre_parser_dataset:
    dataset_type: tfrecord
    file_pattern: ''
  regularization_variable_regex: .*(kernel|weight):0$
  space_to_depth_block_size: 1
  total_steps: 180000
  train_batch_size: 256
  train_dataset_type: tfrecord
  transpose_input: true
type: vild
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models/official/detection/projects/vild/configs/vild_resnet.yaml [23:150]:
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batch_norm_activation:
  activation: relu
  batch_norm_epsilon: 0.0001
  batch_norm_momentum: 0.997
  batch_norm_trainable: true
  use_sync_bn: true
dropblock:
  dropblock_keep_prob: null
  dropblock_size: null
enable_summary: false
eval:
  eval_batch_size: 8
  eval_dataset_type: tfrecord
  eval_samples: 19809
  eval_timeout: null
  min_eval_interval: 5
  num_steps_per_eval: 1000
  per_category_metrics: false
  skip_eval_loss: false
  suffix: ''
  type: lvis_box_and_mask
  use_json_file: true
fpn:
  fpn_feat_dims: 256
  use_batch_norm: true
  use_separable_conv: false
frcnn_box_loss:
  huber_loss_delta: 1.0
frcnn_class_loss:
  mask_rare: true
frcnn_head:
  class_agnostic_bbox_pred: true
  clip_dim: 512
  fc_dims: 1024
  normalize_classifier: true
  normalize_visual: true
  num_convs: 4
  num_fcs: 2
  num_filters: 256
  temperature: 100.0
  use_batch_norm: true
  use_separable_conv: false
mask_sampling:
  num_mask_samples_per_image: 128
mrcnn_head:
  class_agnostic_mask_pred: true
  num_convs: 4
  num_filters: 256
  use_batch_norm: true
  use_separable_conv: false
postprocess:
  apply_nms: true
  apply_sigmoid: false
  discard_background: false
  max_total_size: 300
  nms_iou_threshold: 0.5
  nms_version: v1
  pre_nms_num_boxes: 1000
  score_threshold: 0.0
  use_batched_nms: false
predict:
  predict_batch_size: 8
resnet:
  init_drop_connect_rate: null
  resnet_depth: 50
roi_proposal:
  rpn_min_size_threshold: 0.0
  rpn_nms_threshold: 0.7
  rpn_post_nms_top_k: 1000
  rpn_pre_nms_top_k: 2000
  rpn_score_threshold: 0.0
  test_rpn_min_size_threshold: 0.0
  test_rpn_nms_threshold: 0.7
  test_rpn_post_nms_top_k: 1000
  test_rpn_pre_nms_top_k: 1000
  test_rpn_score_threshold: 0.0
  use_batched_nms: false
roi_sampling:
  bg_iou_thresh_hi: 0.5
  bg_iou_thresh_lo: 0.0
  cascade_iou_thresholds: null
  fg_fraction: 0.25
  fg_iou_thresh: 0.5
  mix_gt_boxes: true
  num_samples_per_image: 512
rpn_box_loss:
  huber_loss_delta: 0.1111111111111111
rpn_head:
  anchors_per_location: null
  cast_to_float32: true
  num_convs: 2
  num_filters: 256
  use_batch_norm: true
  use_separable_conv: false
rpn_score_loss:
  rpn_batch_size_per_im: 256
train:
  checkpoint:
    path: ''
    prefix: ''
    skip_variables_regex: ''
  frozen_variable_prefix: frcnn_layer_0/fast_rcnn_head/class-predict
  gradient_clip_norm: 0.0
  input_partition_dims: null
  iterations_per_loop: 100
  l2_weight_decay: 4.0e-05
  learning_rate:
    init_learning_rate: 0.32
    learning_rate_levels: [0.032, 0.0032]
    learning_rate_steps: [162000, 171000, 175500]
    type: step
    warmup_learning_rate: 0.0032
    warmup_steps: 1000
  losses: all
  num_cores_per_replica: null
  optimizer:
    momentum: 0.9
    type: momentum
  pre_parser_dataset:
    dataset_type: tfrecord
    file_pattern: ''
  regularization_variable_regex: .*(kernel|weight):0$
  space_to_depth_block_size: 1
  total_steps: 180000
  train_batch_size: 256
  train_dataset_type: tfrecord
  transpose_input: true
type: vild
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