faceboxes.yml

architecture: FaceBoxes
pretrain_weights:
use_gpu: true
max_iters: 320000
snapshot_iter: 10000
log_smooth_window: 20
log_iter: 20
metric: WIDERFACE
save_dir: output
weights: output/faceboxes/model_final/
# 1(label_class) + 1(background)
num_classes: 2

FaceBoxes:
  backbone: FaceBoxNet
  densities: [[4, 2, 1], [1], [1]]
  fixed_sizes: [[32., 64., 128.], [256.], [512.]]
  output_decoder:
    keep_top_k: 750
    nms_threshold: 0.3
    nms_top_k: 5000
    score_threshold: 0.01

FaceBoxNet:
  with_extra_blocks: true
  lite_edition: false

LearningRate:
  base_lr: 0.001
  schedulers:
  - !PiecewiseDecay
    gamma: 0.1
    milestones: [240000, 300000]

OptimizerBuilder:
  optimizer:
    momentum: 0.0
    type: RMSPropOptimizer
  regularizer:
    factor: 0.0005
    type: L2

TrainReader:
  batch_size: 8
  use_process: True
  worker_num: 8
  shuffle: true
  inputs_def:
    image_shape: [3, 640, 640]
    fields: ['image', 'gt_bbox', 'gt_class']
  dataset:
    !WIDERFaceDataSet
    dataset_dir: dataset/wider_face
    anno_path: wider_face_split/wider_face_train_bbx_gt.txt
    image_dir: WIDER_train/images
  sample_transforms:
  - !DecodeImage
    to_rgb: true
  - !NormalizeBox {}
  - !RandomDistort
    brightness_lower: 0.875
    brightness_upper: 1.125
    is_order: true
  - !ExpandImage
    max_ratio: 4
    prob: 0.5
  - !CropImageWithDataAchorSampling
    anchor_sampler:
    - [1, 10, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.2, 0.0]
    batch_sampler:
    - [1, 50, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0, 0.0]
    - [1, 50, 0.3, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0, 0.0]
    - [1, 50, 0.3, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0, 0.0]
    - [1, 50, 0.3, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0, 0.0]
    - [1, 50, 0.3, 1.0, 1.0, 1.0, 0.0, 0.0, 1.0, 0.0]
    target_size: 640
  - !RandomInterpImage
    target_size: 640
  - !RandomFlipImage
    is_normalized: true
  - !Permute {}
  - !NormalizeImage
    is_scale: false
    mean: [104, 117, 123]
    std: [127.502231, 127.502231, 127.502231]

EvalReader:
  batch_size: 1
  use_process: false
  inputs_def:
    fields: ['image', 'im_id']
  dataset:
    !WIDERFaceDataSet
    dataset_dir: dataset/wider_face
    anno_path: wider_face_split/wider_face_val_bbx_gt.txt
    image_dir: WIDER_val/images
  sample_transforms:
  - !DecodeImage
    to_rgb: true
  - !Permute {}
  - !NormalizeImage
    is_scale: false
    mean: [104, 117, 123]
    std: [127.502231, 127.502231, 127.502231]

TestReader:
  inputs_def:
    fields: ['image', 'im_id', 'im_shape']
  dataset:
    !ImageFolder
    use_default_label: true
  sample_transforms:
  - !DecodeImage
    to_rgb: true
  - !Permute {}
  - !NormalizeImage
    is_scale: false
    mean: [104, 117, 123]
    std: [127.502231, 127.502231, 127.502231]
  batch_size: 1