mask_rcnn_vit_large_hrfpn_cae_1x_coco.yml 642 B

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  1. _BASE_: [
  2. './mask_rcnn_vit_base_hrfpn_cae_1x_coco.yml'
  3. ]
  4. weights: output/mask_rcnn_vit_large_hrfpn_cae_1x_coco/model_final
  5. depth: &depth 24
  6. dim: &dim 1024
  7. use_fused_allreduce_gradients: &use_checkpoint True
  8. VisionTransformer:
  9. img_size: [800, 1344]
  10. embed_dim: *dim
  11. depth: *depth
  12. num_heads: 16
  13. drop_path_rate: 0.25
  14. out_indices: [7, 11, 15, 23]
  15. use_checkpoint: *use_checkpoint
  16. pretrained: https://bj.bcebos.com/v1/paddledet/models/pretrained/vit_large_cae_pretrained.pdparams
  17. HRFPN:
  18. in_channels: [*dim, *dim, *dim, *dim]
  19. OptimizerBuilder:
  20. optimizer:
  21. layer_decay: 0.9
  22. weight_decay: 0.02
  23. num_layers: *depth