SENet-154 monocular depth (Hu et al. 2018 architecture) β€” NYU-Depth V2

Trained 8 epochs on every 3. frame, batch 8, AMP. Encoder: timm legacy_senet154 (stem pool0 included in E_senet).

  • model_senet.pth β€” final clean state_dict (no module. prefix)
  • checkpoint_last.pth β€” resume checkpoint (model + optimizer + scaler + history)

Load with the matching architecture from the training notebook.

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