Created by: gaooolianggg

配置文件如下，

architecture: YOLOv3
use_gpu: true
max_iters: 10000
log_smooth_window: 20
save_dir: output
snapshot_iter: 200
metric: COCO
pretrain_weights: http://paddle-imagenet-models-name.bj.bcebos.com/MobileNetV1_pretrained.tar
finetune_exclude_pretrained_params: 'yolo_output'
weights: output/yolov3_mobilenet_v1/model_final
num_classes: 1
use_fine_grained_loss: false

YOLOv3:
  backbone: MobileNet
  yolo_head: YOLOv3Head

MobileNet:
  norm_type: sync_bn
  norm_decay: 0.
  conv_group_scale: 1
  with_extra_blocks: false

YOLOv3Head:
  anchor_masks: [[6, 7, 8], [3, 4, 5], [0, 1, 2]]
  anchors: [[10, 13], [16, 30], [33, 23],
            [30, 61], [62, 45], [59, 119],
            [116, 90], [156, 198], [373, 326]]
  norm_decay: 0.
  yolo_loss: YOLOv3Loss
  nms:
    background_label: -1
    keep_top_k: 100
    nms_threshold: 0.45
    nms_top_k: 1000
    normalized: false
    score_threshold: 0.01

YOLOv3Loss:
  # batch_size here is only used for fine grained loss, not used
  # for training batch_size setting, training batch_size setting
  # is in configs/yolov3_reader.yml TrainReader.batch_size, batch
  # size here should be set as same value as TrainReader.batch_size
  batch_size: 8
  ignore_thresh: 0.7
  label_smooth: true

LearningRate:
  base_lr: 0.00001
  schedulers:
  - !PiecewiseDecay
    gamma: 0.1
    milestones:
    - 15000
    - 18000
  - !LinearWarmup
    start_factor: 0.
    steps: 100

OptimizerBuilder:
  optimizer:
    momentum: 0.9
    type: Momentum
  regularizer:
    factor: 0.0005
    type: L2

_READER_: 'yolov3_reader.yml'

TrainReader:
  inputs_def:
    image_shape: [3, 608, 608]
    fields: ['image', 'gt_bbox', 'gt_class', 'gt_score']
    num_max_boxes: 50
  dataset:
      !COCODataSet
      dataset_dir: D:/Paddle/PaddleDetection/ppdet//data/tools/cocomeSausage
      anno_path: ./annotations/instances_train.json
      image_dir: ./train
      with_background: false
  sample_transforms:
    - !DecodeImage
      to_rgb: true
      with_mixup: true
    - !MixupImage
      alpha: 1.5
      beta: 1.5
    - !ColorDistort {}

  batch_transforms:
    - !RandomShape
      sizes: [320, 352, 384, 416, 448, 480, 512, 544, 576, 608]
      random_inter: True

  batch_size: 1
  shuffle: true
  mixup_epoch: 250
  worker_num: 8
  use_process: true