ppyoloe_crn_l_p2_alpha_largesize_80e_visdrone.yml

_BASE_: [
  'ppyoloe_crn_l_80e_visdrone.yml',
]
log_iter: 100
snapshot_epoch: 10
weights: output/ppyoloe_crn_l_p2_alpha_largesize_80e_visdrone/model_final
pretrain_weights: https://paddledet.bj.bcebos.com/models/ppyoloe_crn_l_300e_coco.pdparams


LearningRate:
  base_lr: 0.005


CSPResNet:
  return_idx: [0, 1, 2, 3]
  use_alpha: True

CustomCSPPAN:
  out_channels: [768, 384, 192, 64]

PPYOLOEHead:
  fpn_strides: [32, 16, 8, 4]


worker_num: 2
eval_height: &eval_height 1920
eval_width: &eval_width 1920
eval_size: &eval_size [*eval_height, *eval_width]

TrainReader:
  sample_transforms:
    - Decode: {}
    - RandomDistort: {}
    - RandomExpand: {fill_value: [123.675, 116.28, 103.53]}
    - RandomCrop: {}
    - RandomFlip: {}
  batch_transforms:
    - BatchRandomResize: {target_size: [1024, 1088, 1152, 1216, 1280, 1344, 1408, 1472, 1536, 1600, 1664, 1728, 1792, 1856, 1920, 1984, 2048], random_size: True, random_interp: True, keep_ratio: False}
    - NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: True}
    - Permute: {}
    - PadGT: {}
  batch_size: 1
  shuffle: true
  drop_last: true
  use_shared_memory: true
  collate_batch: true

EvalReader:
  sample_transforms:
    - Decode: {}
    - Resize: {target_size: *eval_size, keep_ratio: False, interp: 2}
    - NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: True}
    - Permute: {}
  batch_size: 1

TestReader:
  inputs_def:
    image_shape: [3, *eval_height, *eval_width]
  sample_transforms:
    - Decode: {}
    - Resize: {target_size: *eval_size, keep_ratio: False, interp: 2}
    - NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: True}
    - Permute: {}
  batch_size: 1
  fuse_normalize: True