ppyolo_r50vd_dcn_voc.yml

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

snapshot_epoch: 83
weights: output/ppyolo_r50vd_dcn_voc/model_final

TrainReader:
  batch_transforms:
    - BatchRandomResize: {target_size: [320, 352, 384, 416, 448, 480, 512, 544, 576, 608], random_size: True, random_interp: True, keep_ratio: False}
    - NormalizeBox: {}
    - PadBox: {num_max_boxes: 50}
    - BboxXYXY2XYWH: {}
    - NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: True}
    - Permute: {}
    - Gt2YoloTarget: {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]], downsample_ratios: [32, 16, 8], num_classes: 20}
  mixup_epoch: 350
  batch_size: 12

EvalReader:
  batch_transforms:
  - PadBatch: {pad_gt: True}

epoch: 583

LearningRate:
  base_lr: 0.00333
  schedulers:
  - !PiecewiseDecay
    gamma: 0.1
    milestones:
    - 466
    - 516
  - !LinearWarmup
    start_factor: 0.
    steps: 4000

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