centernet_shufflenetv2_140e_coco.yml 763 B

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  1. _BASE_: [
  2. 'centernet_r50_140e_coco.yml'
  3. ]
  4. pretrain_weights: https://paddledet.bj.bcebos.com/models/pretrained/ShuffleNetV2_x1_0_pretrained.pdparams
  5. weights: output/centernet_shufflenetv2_140e_coco/model_final
  6. CenterNet:
  7. backbone: ShuffleNetV2
  8. neck: CenterNetDLAFPN
  9. head: CenterNetHead
  10. post_process: CenterNetPostProcess
  11. ShuffleNetV2:
  12. scale: 1.0
  13. feature_maps: [5, 13, 17]
  14. act: leaky_relu
  15. CenterNetDLAFPN:
  16. first_level: 0
  17. last_level: 3
  18. down_ratio: 8
  19. dcn_v2: False
  20. TrainReader:
  21. batch_size: 32
  22. TestReader:
  23. sample_transforms:
  24. - Decode: {}
  25. - WarpAffine: {keep_res: False, input_h: 512, input_w: 512}
  26. - NormalizeImage: {mean: [0.40789655, 0.44719303, 0.47026116], std: [0.2886383 , 0.27408165, 0.27809834]}
  27. - Permute: {}