blazeface.yml

architecture: BlazeFace
max_iters: 5000
use_gpu: true
log_iter: 20
metric: WIDERFACE
save_dir: nas_checkpoint
# 1(label_class) + 1(background)
num_classes: 2

# nas config start
reduce_rate: 0.85
init_temperature: 10.24
is_server: true
search_steps: 300
server_ip: ""
server_port: 8999
search_space: BlazeFaceNasSpace

Constraint:
  # choice: flops, latency
  ctype: latency
  max_constraint: 57489
  min_constraint: 18000
  # only need in latency search
  table_file: latency_855.txt
# nas config end

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:
  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
  - !RandomInterpImage
    target_size: 640
  - !RandomFlipImage
    is_normalized: true
  - !Permute {}
  - !NormalizeImage
    is_scale: false
    mean: [104, 117, 123]
    std: [127.502231, 127.502231, 127.502231]
  batch_size: 8
  use_process: True
  worker_num: 8
  shuffle: true
  memsize: 6G

EvalReader:
  inputs_def:
    fields: ['image', 'im_id', 'im_shape', 'gt_bbox']
  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
  - !NormalizeBox {}
  - !Permute {}
  - !NormalizeImage
    is_scale: false
    mean: [104, 117, 123]
    std: [127.502231, 127.502231, 127.502231]
  batch_size: 1

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