_BASE_: [
  '../datasets/coco_detection.yml',
  '../runtime.yml',
  '../ppyolo/_base_/ppyolo_r50vd_dcn.yml',
  '../ppyolo/_base_/optimizer_1x.yml',
  '../ppyolo/_base_/ppyolo_reader.yml',
]

snapshot_epoch: 8
use_ema: true
weights: output/ppyolo_r50vd_dcn_1x_visdrone/model_final

epoch: 192

LearningRate:
  base_lr: 0.005
  schedulers:
  - !PiecewiseDecay
    gamma: 0.1
    milestones:
    - 153
    - 173
  - !LinearWarmup
    start_factor: 0.
    steps: 4000

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


metric: COCO
num_classes: 9

TrainDataset:
  !COCODataSet
    image_dir: train
    anno_path: annotations/train.json
    dataset_dir: dataset/VisDrone2019_coco
    data_fields: ['image', 'gt_bbox', 'gt_class', 'is_crowd']

EvalDataset:
  !COCODataSet
    image_dir: val
    anno_path: annotations/val.json
    dataset_dir: dataset/VisDrone2019_coco

TestDataset:
  !ImageFolder
    anno_path: annotations/val.json