yolov3_mobilenet_v1_fruit.yml

architecture: YOLOv3
train_feed: YoloTrainFeed
eval_feed: YoloEvalFeed
test_feed: YoloTestFeed
use_gpu: true
max_iters: 20000
log_smooth_window: 20
save_dir: output
snapshot_iter: 200
metric: VOC
map_type: 11point
pretrain_weights: https://paddlemodels.bj.bcebos.com/object_detection/yolov3_mobilenet_v1.tar
weights: output/yolov3_mobilenet_v1_fruit/best_model
num_classes: 3
finetune_exclude_pretrained_params: ['yolo_output']

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.
  ignore_thresh: 0.7
  label_smooth: true
  nms:
    background_label: -1
    keep_top_k: 100
    nms_threshold: 0.45
    nms_top_k: 1000
    normalized: false
    score_threshold: 0.01

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

YoloTrainFeed:
  batch_size: 1
  dataset:
    dataset_dir: dataset/fruit/fruit-detection
    annotation: train.txt
    use_default_label: false
  num_workers: 16
  bufsize: 128
  use_process: true
  mixup_epoch: -1
  sample_transforms:
  - !DecodeImage
    to_rgb: true
    with_mixup: false
  - !NormalizeBox {}
  - !ExpandImage
    max_ratio: 4.0
    mean: [123.675, 116.28, 103.53]
    prob: 0.5
  - !RandomInterpImage
    max_size: 0
    target_size: 608
  - !RandomFlipImage
    is_mask_flip: false
    is_normalized: true
    prob: 0.5
  - !NormalizeImage
    is_channel_first: false
    is_scale: true
    mean:
    - 0.485
    - 0.456
    - 0.406
    std:
    - 0.229
    - 0.224
    - 0.225
  - !Permute
    channel_first: true
    to_bgr: false
  batch_transforms:
  - !RandomShape 
    sizes: [608] 
  with_background: false

YoloEvalFeed:
  batch_size: 1
  image_shape: [3, 608, 608]
  dataset:
    dataset_dir: dataset/fruit/fruit-detection
    annotation: val.txt
    use_default_label: false
 

YoloTestFeed:
  batch_size: 1
  image_shape: [3, 608, 608]
  dataset:
    dataset_dir: dataset/fruit/fruit-detection
    use_default_label: false