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charliebudd / transferring-relative-monocular-depth-to-surgical-vision

[MICCAI 2024] This is the official repository for our state-of-the-art approach to monocular depth in surgical vision as presented in our paper.
https://arxiv.org/abs/2403.06683
MIT License
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model_type == "midas" invalid #3

Closed mhubii closed 5 months ago

mhubii commented 5 months ago

model_type = "midas" weights_path = "da-sup-temp.pt"

Yields

Exception has occurred: RuntimeError
Error(s) in loading state_dict for DPTDepthModel:
    Missing key(s) in state_dict: "pretrained.model.cls_token", "pretrained.model.patch_embed.proj.weight", "pretrained.model.patch_embed.proj.bias", "pretrained.model.blocks.0.gamma_1", "pretrained.model.blocks.0.gamma_2", "pretrained.model.blocks.0.norm1.weight", "pretrained.model.blocks.0.norm1.bias", "pretrained.model.blocks.0.attn.q_bias", "pretrained.model.blocks.0.attn.v_bias", "pretrained.model.blocks.0.attn.relative_position_bias_table", "pretrained.model.blocks.0.attn.qkv.weight", "pretrained.model.blocks.0.attn.proj.weight", "pretrained.model.blocks.0.attn.proj.bias", "pretrained.model.blocks.0.norm2.weight", "pretrained.model.blocks.0.norm2.bias", "pretrained.model.blocks.0.mlp.fc1.weight", "pretrained.model.blocks.0.mlp.fc1.bias", "pretrained.model.blocks.0.mlp.fc2.weight", "pretrained.model.blocks.0.mlp.fc2.bias", "pretrained.model.blocks.1.gamma_1", "pretrained.model.blocks.1.gamma_2", "pretrained.model.blocks.1.norm1.weight", "pretrained.model.blocks.1.norm1.bias", 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    Unexpected key(s) in state_dict: "depth_head.projects.0.weight", "depth_head.projects.0.bias", "depth_head.projects.1.weight", "depth_head.projects.1.bias", "depth_head.projects.2.weight", "depth_head.projects.2.bias", "depth_head.projects.3.weight", "depth_head.projects.3.bias", "depth_head.resize_layers.0.weight", "depth_head.resize_layers.0.bias", "depth_head.resize_layers.1.weight", "depth_head.resize_layers.1.bias", "depth_head.resize_layers.3.weight", "depth_head.resize_layers.3.bias", "depth_head.scratch.layer1_rn.weight", "depth_head.scratch.layer2_rn.weight", "depth_head.scratch.layer3_rn.weight", "depth_head.scratch.layer4_rn.weight", "depth_head.scratch.refinenet1.out_conv.weight", "depth_head.scratch.refinenet1.out_conv.bias", "depth_head.scratch.refinenet1.resConfUnit1.conv1.weight", "depth_head.scratch.refinenet1.resConfUnit1.conv1.bias", "depth_head.scratch.refinenet1.resConfUnit1.conv2.weight", "depth_head.scratch.refinenet1.resConfUnit1.conv2.bias", "depth_head.scratch.refinenet1.resConfUnit2.conv1.weight", "depth_head.scratch.refinenet1.resConfUnit2.conv1.bias", "depth_head.scratch.refinenet1.resConfUnit2.conv2.weight", "depth_head.scratch.refinenet1.resConfUnit2.conv2.bias", "depth_head.scratch.refinenet2.out_conv.weight", "depth_head.scratch.refinenet2.out_conv.bias", "depth_head.scratch.refinenet2.resConfUnit1.conv1.weight", "depth_head.scratch.refinenet2.resConfUnit1.conv1.bias", "depth_head.scratch.refinenet2.resConfUnit1.conv2.weight", "depth_head.scratch.refinenet2.resConfUnit1.conv2.bias", "depth_head.scratch.refinenet2.resConfUnit2.conv1.weight", "depth_head.scratch.refinenet2.resConfUnit2.conv1.bias", "depth_head.scratch.refinenet2.resConfUnit2.conv2.weight", "depth_head.scratch.refinenet2.resConfUnit2.conv2.bias", "depth_head.scratch.refinenet3.out_conv.weight", "depth_head.scratch.refinenet3.out_conv.bias", "depth_head.scratch.refinenet3.resConfUnit1.conv1.weight", "depth_head.scratch.refinenet3.resConfUnit1.conv1.bias", "depth_head.scratch.refinenet3.resConfUnit1.conv2.weight", "depth_head.scratch.refinenet3.resConfUnit1.conv2.bias", "depth_head.scratch.refinenet3.resConfUnit2.conv1.weight", "depth_head.scratch.refinenet3.resConfUnit2.conv1.bias", "depth_head.scratch.refinenet3.resConfUnit2.conv2.weight", "depth_head.scratch.refinenet3.resConfUnit2.conv2.bias", "depth_head.scratch.refinenet4.out_conv.weight", "depth_head.scratch.refinenet4.out_conv.bias", "depth_head.scratch.refinenet4.resConfUnit1.conv1.weight", "depth_head.scratch.refinenet4.resConfUnit1.conv1.bias", "depth_head.scratch.refinenet4.resConfUnit1.conv2.weight", "depth_head.scratch.refinenet4.resConfUnit1.conv2.bias", "depth_head.scratch.refinenet4.resConfUnit2.conv1.weight", "depth_head.scratch.refinenet4.resConfUnit2.conv1.bias", "depth_head.scratch.refinenet4.resConfUnit2.conv2.weight", "depth_head.scratch.refinenet4.resConfUnit2.conv2.bias", "depth_head.scratch.output_conv1.weight", "depth_head.scratch.output_conv1.bias", "depth_head.scratch.output_conv2.0.weight", "depth_head.scratch.output_conv2.0.bias", "depth_head.scratch.output_conv2.2.weight", "depth_head.scratch.output_conv2.2.bias", "pretrained.cls_token", "pretrained.pos_embed", "pretrained.mask_token", "pretrained.patch_embed.proj.weight", "pretrained.patch_embed.proj.bias", "pretrained.blocks.0.norm1.weight", "pretrained.blocks.0.norm1.bias", "pretrained.blocks.0.attn.qkv.weight", "pretrained.blocks.0.attn.qkv.bias", "pretrained.blocks.0.attn.proj.weight", "pretrained.blocks.0.attn.proj.bias", "pretrained.blocks.0.ls1.gamma", "pretrained.blocks.0.norm2.weight", "pretrained.blocks.0.norm2.bias", "pretrained.blocks.0.mlp.fc1.weight", "pretrained.blocks.0.mlp.fc1.bias", "pretrained.blocks.0.mlp.fc2.weight", "pretrained.blocks.0.mlp.fc2.bias", "pretrained.blocks.0.ls2.gamma", "pretrained.blocks.1.norm1.weight", "pretrained.blocks.1.norm1.bias", "pretrained.blocks.1.attn.qkv.weight", "pretrained.blocks.1.attn.qkv.bias", "pretrained.blocks.1.attn.proj.weight", "pretrained.blocks.1.attn.proj.bias", "pretrained.blocks.1.ls1.gamma", "pretrained.blocks.1.norm2.weight", "pretrained.blocks.1.norm2.bias", "pretrained.blocks.1.mlp.fc1.weight", "pretrained.blocks.1.mlp.fc1.bias", "pretrained.blocks.1.mlp.fc2.weight", "pretrained.blocks.1.mlp.fc2.bias", "pretrained.blocks.1.ls2.gamma", "pretrained.blocks.2.norm1.weight", "pretrained.blocks.2.norm1.bias", "pretrained.blocks.2.attn.qkv.weight", "pretrained.blocks.2.attn.qkv.bias", "pretrained.blocks.2.attn.proj.weight", "pretrained.blocks.2.attn.proj.bias", "pretrained.blocks.2.ls1.gamma", "pretrained.blocks.2.norm2.weight", "pretrained.blocks.2.norm2.bias", "pretrained.blocks.2.mlp.fc1.weight", "pretrained.blocks.2.mlp.fc1.bias", "pretrained.blocks.2.mlp.fc2.weight", "pretrained.blocks.2.mlp.fc2.bias", "pretrained.blocks.2.ls2.gamma", "pretrained.blocks.3.norm1.weight", "pretrained.blocks.3.norm1.bias", "pretrained.blocks.3.attn.qkv.weight", "pretrained.blocks.3.attn.qkv.bias", "pretrained.blocks.3.attn.proj.weight", "pretrained.blocks.3.attn.proj.bias", "pretrained.blocks.3.ls1.gamma", "pretrained.blocks.3.norm2.weight", "pretrained.blocks.3.norm2.bias", "pretrained.blocks.3.mlp.fc1.weight", "pretrained.blocks.3.mlp.fc1.bias", "pretrained.blocks.3.mlp.fc2.weight", "pretrained.blocks.3.mlp.fc2.bias", "pretrained.blocks.3.ls2.gamma", "pretrained.blocks.4.norm1.weight", "pretrained.blocks.4.norm1.bias", "pretrained.blocks.4.attn.qkv.weight", "pretrained.blocks.4.attn.qkv.bias", "pretrained.blocks.4.attn.proj.weight", "pretrained.blocks.4.attn.proj.bias", "pretrained.blocks.4.ls1.gamma", "pretrained.blocks.4.norm2.weight", "pretrained.blocks.4.norm2.bias", "pretrained.blocks.4.mlp.fc1.weight", "pretrained.blocks.4.mlp.fc1.bias", "pretrained.blocks.4.mlp.fc2.weight", "pretrained.blocks.4.mlp.fc2.bias", "pretrained.blocks.4.ls2.gamma", "pretrained.blocks.5.norm1.weight", "pretrained.blocks.5.norm1.bias", "pretrained.blocks.5.attn.qkv.weight", "pretrained.blocks.5.attn.qkv.bias", "pretrained.blocks.5.attn.proj.weight", "pretrained.blocks.5.attn.proj.bias", "pretrained.blocks.5.ls1.gamma", "pretrained.blocks.5.norm2.weight", "pretrained.blocks.5.norm2.bias", "pretrained.blocks.5.mlp.fc1.weight", "pretrained.blocks.5.mlp.fc1.bias", "pretrained.blocks.5.mlp.fc2.weight", "pretrained.blocks.5.mlp.fc2.bias", "pretrained.blocks.5.ls2.gamma", "pretrained.blocks.6.norm1.weight", "pretrained.blocks.6.norm1.bias", "pretrained.blocks.6.attn.qkv.weight", "pretrained.blocks.6.attn.qkv.bias", "pretrained.blocks.6.attn.proj.weight", "pretrained.blocks.6.attn.proj.bias", "pretrained.blocks.6.ls1.gamma", "pretrained.blocks.6.norm2.weight", "pretrained.blocks.6.norm2.bias", "pretrained.blocks.6.mlp.fc1.weight", "pretrained.blocks.6.mlp.fc1.bias", "pretrained.blocks.6.mlp.fc2.weight", "pretrained.blocks.6.mlp.fc2.bias", "pretrained.blocks.6.ls2.gamma", "pretrained.blocks.7.norm1.weight", "pretrained.blocks.7.norm1.bias", "pretrained.blocks.7.attn.qkv.weight", "pretrained.blocks.7.attn.qkv.bias", "pretrained.blocks.7.attn.proj.weight", "pretrained.blocks.7.attn.proj.bias", "pretrained.blocks.7.ls1.gamma", "pretrained.blocks.7.norm2.weight", "pretrained.blocks.7.norm2.bias", "pretrained.blocks.7.mlp.fc1.weight", "pretrained.blocks.7.mlp.fc1.bias", "pretrained.blocks.7.mlp.fc2.weight", "pretrained.blocks.7.mlp.fc2.bias", "pretrained.blocks.7.ls2.gamma", "pretrained.blocks.8.norm1.weight", "pretrained.blocks.8.norm1.bias", "pretrained.blocks.8.attn.qkv.weight", "pretrained.blocks.8.attn.qkv.bias", "pretrained.blocks.8.attn.proj.weight", "pretrained.blocks.8.attn.proj.bias", "pretrained.blocks.8.ls1.gamma", "pretrained.blocks.8.norm2.weight", "pretrained.blocks.8.norm2.bias", "pretrained.blocks.8.mlp.fc1.weight", "pretrained.blocks.8.mlp.fc1.bias", "pretrained.blocks.8.mlp.fc2.weight", "pretrained.blocks.8.mlp.fc2.bias", "pretrained.blocks.8.ls2.gamma", "pretrained.blocks.9.norm1.weight", "pretrained.blocks.9.norm1.bias", "pretrained.blocks.9.attn.qkv.weight", "pretrained.blocks.9.attn.qkv.bias", "pretrained.blocks.9.attn.proj.weight", "pretrained.blocks.9.attn.proj.bias", "pretrained.blocks.9.ls1.gamma", "pretrained.blocks.9.norm2.weight", "pretrained.blocks.9.norm2.bias", "pretrained.blocks.9.mlp.fc1.weight", "pretrained.blocks.9.mlp.fc1.bias", "pretrained.blocks.9.mlp.fc2.weight", "pretrained.blocks.9.mlp.fc2.bias", "pretrained.blocks.9.ls2.gamma", "pretrained.blocks.10.norm1.weight", "pretrained.blocks.10.norm1.bias", "pretrained.blocks.10.attn.qkv.weight", "pretrained.blocks.10.attn.qkv.bias", "pretrained.blocks.10.attn.proj.weight", "pretrained.blocks.10.attn.proj.bias", "pretrained.blocks.10.ls1.gamma", "pretrained.blocks.10.norm2.weight", "pretrained.blocks.10.norm2.bias", "pretrained.blocks.10.mlp.fc1.weight", "pretrained.blocks.10.mlp.fc1.bias", "pretrained.blocks.10.mlp.fc2.weight", "pretrained.blocks.10.mlp.fc2.bias", "pretrained.blocks.10.ls2.gamma", "pretrained.blocks.11.norm1.weight", "pretrained.blocks.11.norm1.bias", "pretrained.blocks.11.attn.qkv.weight", "pretrained.blocks.11.attn.qkv.bias", "pretrained.blocks.11.attn.proj.weight", "pretrained.blocks.11.attn.proj.bias", "pretrained.blocks.11.ls1.gamma", "pretrained.blocks.11.norm2.weight", "pretrained.blocks.11.norm2.bias", "pretrained.blocks.11.mlp.fc1.weight", "pretrained.blocks.11.mlp.fc1.bias", "pretrained.blocks.11.mlp.fc2.weight", "pretrained.blocks.11.mlp.fc2.bias", "pretrained.blocks.11.ls2.gamma", "pretrained.blocks.12.norm1.weight", "pretrained.blocks.12.norm1.bias", "pretrained.blocks.12.attn.qkv.weight", "pretrained.blocks.12.attn.qkv.bias", "pretrained.blocks.12.attn.proj.weight", "pretrained.blocks.12.attn.proj.bias", "pretrained.blocks.12.ls1.gamma", "pretrained.blocks.12.norm2.weight", "pretrained.blocks.12.norm2.bias", "pretrained.blocks.12.mlp.fc1.weight", "pretrained.blocks.12.mlp.fc1.bias", "pretrained.blocks.12.mlp.fc2.weight", "pretrained.blocks.12.mlp.fc2.bias", "pretrained.blocks.12.ls2.gamma", "pretrained.blocks.13.norm1.weight", "pretrained.blocks.13.norm1.bias", "pretrained.blocks.13.attn.qkv.weight", "pretrained.blocks.13.attn.qkv.bias", "pretrained.blocks.13.attn.proj.weight", "pretrained.blocks.13.attn.proj.bias", "pretrained.blocks.13.ls1.gamma", "pretrained.blocks.13.norm2.weight", "pretrained.blocks.13.norm2.bias", "pretrained.blocks.13.mlp.fc1.weight", "pretrained.blocks.13.mlp.fc1.bias", "pretrained.blocks.13.mlp.fc2.weight", "pretrained.blocks.13.mlp.fc2.bias", "pretrained.blocks.13.ls2.gamma", "pretrained.blocks.14.norm1.weight", "pretrained.blocks.14.norm1.bias", "pretrained.blocks.14.attn.qkv.weight", "pretrained.blocks.14.attn.qkv.bias", "pretrained.blocks.14.attn.proj.weight", "pretrained.blocks.14.attn.proj.bias", "pretrained.blocks.14.ls1.gamma", "pretrained.blocks.14.norm2.weight", "pretrained.blocks.14.norm2.bias", "pretrained.blocks.14.mlp.fc1.weight", "pretrained.blocks.14.mlp.fc1.bias", "pretrained.blocks.14.mlp.fc2.weight", "pretrained.blocks.14.mlp.fc2.bias", "pretrained.blocks.14.ls2.gamma", "pretrained.blocks.15.norm1.weight", "pretrained.blocks.15.norm1.bias", "pretrained.blocks.15.attn.qkv.weight", "pretrained.blocks.15.attn.qkv.bias", "pretrained.blocks.15.attn.proj.weight", "pretrained.blocks.15.attn.proj.bias", "pretrained.blocks.15.ls1.gamma", "pretrained.blocks.15.norm2.weight", "pretrained.blocks.15.norm2.bias", "pretrained.blocks.15.mlp.fc1.weight", "pretrained.blocks.15.mlp.fc1.bias", "pretrained.blocks.15.mlp.fc2.weight", "pretrained.blocks.15.mlp.fc2.bias", "pretrained.blocks.15.ls2.gamma", "pretrained.blocks.16.norm1.weight", "pretrained.blocks.16.norm1.bias", "pretrained.blocks.16.attn.qkv.weight", "pretrained.blocks.16.attn.qkv.bias", "pretrained.blocks.16.attn.proj.weight", "pretrained.blocks.16.attn.proj.bias", "pretrained.blocks.16.ls1.gamma", "pretrained.blocks.16.norm2.weight", "pretrained.blocks.16.norm2.bias", "pretrained.blocks.16.mlp.fc1.weight", "pretrained.blocks.16.mlp.fc1.bias", "pretrained.blocks.16.mlp.fc2.weight", "pretrained.blocks.16.mlp.fc2.bias", "pretrained.blocks.16.ls2.gamma", "pretrained.blocks.17.norm1.weight", "pretrained.blocks.17.norm1.bias", "pretrained.blocks.17.attn.qkv.weight", "pretrained.blocks.17.attn.qkv.bias", "pretrained.blocks.17.attn.proj.weight", "pretrained.blocks.17.attn.proj.bias", "pretrained.blocks.17.ls1.gamma", "pretrained.blocks.17.norm2.weight", "pretrained.blocks.17.norm2.bias", "pretrained.blocks.17.mlp.fc1.weight", "pretrained.blocks.17.mlp.fc1.bias", "pretrained.blocks.17.mlp.fc2.weight", "pretrained.blocks.17.mlp.fc2.bias", "pretrained.blocks.17.ls2.gamma", "pretrained.blocks.18.norm1.weight", "pretrained.blocks.18.norm1.bias", "pretrained.blocks.18.attn.qkv.weight", "pretrained.blocks.18.attn.qkv.bias", "pretrained.blocks.18.attn.proj.weight", "pretrained.blocks.18.attn.proj.bias", "pretrained.blocks.18.ls1.gamma", "pretrained.blocks.18.norm2.weight", "pretrained.blocks.18.norm2.bias", "pretrained.blocks.18.mlp.fc1.weight", "pretrained.blocks.18.mlp.fc1.bias", "pretrained.blocks.18.mlp.fc2.weight", "pretrained.blocks.18.mlp.fc2.bias", "pretrained.blocks.18.ls2.gamma", "pretrained.blocks.19.norm1.weight", "pretrained.blocks.19.norm1.bias", "pretrained.blocks.19.attn.qkv.weight", "pretrained.blocks.19.attn.qkv.bias", "pretrained.blocks.19.attn.proj.weight", "pretrained.blocks.19.attn.proj.bias", "pretrained.blocks.19.ls1.gamma", "pretrained.blocks.19.norm2.weight", "pretrained.blocks.19.norm2.bias", "pretrained.blocks.19.mlp.fc1.weight", "pretrained.blocks.19.mlp.fc1.bias", "pretrained.blocks.19.mlp.fc2.weight", "pretrained.blocks.19.mlp.fc2.bias", "pretrained.blocks.19.ls2.gamma", "pretrained.blocks.20.norm1.weight", "pretrained.blocks.20.norm1.bias", "pretrained.blocks.20.attn.qkv.weight", "pretrained.blocks.20.attn.qkv.bias", "pretrained.blocks.20.attn.proj.weight", "pretrained.blocks.20.attn.proj.bias", "pretrained.blocks.20.ls1.gamma", "pretrained.blocks.20.norm2.weight", "pretrained.blocks.20.norm2.bias", "pretrained.blocks.20.mlp.fc1.weight", "pretrained.blocks.20.mlp.fc1.bias", "pretrained.blocks.20.mlp.fc2.weight", "pretrained.blocks.20.mlp.fc2.bias", "pretrained.blocks.20.ls2.gamma", "pretrained.blocks.21.norm1.weight", "pretrained.blocks.21.norm1.bias", "pretrained.blocks.21.attn.qkv.weight", "pretrained.blocks.21.attn.qkv.bias", "pretrained.blocks.21.attn.proj.weight", "pretrained.blocks.21.attn.proj.bias", "pretrained.blocks.21.ls1.gamma", "pretrained.blocks.21.norm2.weight", "pretrained.blocks.21.norm2.bias", "pretrained.blocks.21.mlp.fc1.weight", "pretrained.blocks.21.mlp.fc1.bias", "pretrained.blocks.21.mlp.fc2.weight", "pretrained.blocks.21.mlp.fc2.bias", "pretrained.blocks.21.ls2.gamma", "pretrained.blocks.22.norm1.weight", "pretrained.blocks.22.norm1.bias", "pretrained.blocks.22.attn.qkv.weight", "pretrained.blocks.22.attn.qkv.bias", "pretrained.blocks.22.attn.proj.weight", "pretrained.blocks.22.attn.proj.bias", "pretrained.blocks.22.ls1.gamma", "pretrained.blocks.22.norm2.weight", "pretrained.blocks.22.norm2.bias", "pretrained.blocks.22.mlp.fc1.weight", "pretrained.blocks.22.mlp.fc1.bias", "pretrained.blocks.22.mlp.fc2.weight", "pretrained.blocks.22.mlp.fc2.bias", "pretrained.blocks.22.ls2.gamma", "pretrained.blocks.23.norm1.weight", "pretrained.blocks.23.norm1.bias", "pretrained.blocks.23.attn.qkv.weight", "pretrained.blocks.23.attn.qkv.bias", "pretrained.blocks.23.attn.proj.weight", "pretrained.blocks.23.attn.proj.bias", "pretrained.blocks.23.ls1.gamma", "pretrained.blocks.23.norm2.weight", "pretrained.blocks.23.norm2.bias", "pretrained.blocks.23.mlp.fc1.weight", "pretrained.blocks.23.mlp.fc1.bias", "pretrained.blocks.23.mlp.fc2.weight", "pretrained.blocks.23.mlp.fc2.bias", "pretrained.blocks.23.ls2.gamma", "pretrained.norm.weight", "pretrained.norm.bias". 
  File "/home/martin/Documents/transferring-relative-monocular-depth-to-surgical-vision/src/trmdsv/trmdsv.py", line 34, in load_model
    model.load_state_dict(state_dict)
  File "/home/martin/Documents/transferring-relative-monocular-depth-to-surgical-vision/test.py", line 8, in <module>
    model, resize_for_model, normalise_for_model = load_model("midas", "/home/martin/.cache/torch/hub/checkpoints/da-sup-temp.pt", "cuda")
                                                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: Error(s) in loading state_dict for DPTDepthModel:
    Missing key(s) in state_dict: "pretrained.model.cls_token", "pretrained.model.patch_embed.proj.weight", "pretrained.model.patch_embed.proj.bias", "pretrained.model.blocks.0.gamma_1", "pretrained.model.blocks.0.gamma_2", "pretrained.model.blocks.0.norm1.weight", "pretrained.model.blocks.0.norm1.bias", "pretrained.model.blocks.0.attn.q_bias", "pretrained.model.blocks.0.attn.v_bias", "pretrained.model.blocks.0.attn.relative_position_bias_table", "pretrained.model.blocks.0.attn.qkv.weight", "pretrained.model.blocks.0.attn.proj.weight", "pretrained.model.blocks.0.attn.proj.bias", "pretrained.model.blocks.0.norm2.weight", "pretrained.model.blocks.0.norm2.bias", "pretrained.model.blocks.0.mlp.fc1.weight", "pretrained.model.blocks.0.mlp.fc1.bias", "pretrained.model.blocks.0.mlp.fc2.weight", "pretrained.model.blocks.0.mlp.fc2.bias", "pretrained.model.blocks.1.gamma_1", "pretrained.model.blocks.1.gamma_2", "pretrained.model.blocks.1.norm1.weight", "pretrained.model.blocks.1.norm1.bias", "pretrained.model.blocks.1.attn.q_bias", "pretrained.model.blocks.1.attn.v_bias", "pretrained.model.blocks.1.attn.relative_position_bias_table", "pretrained.model.blocks.1.attn.qkv.weight", "pretrained.model.blocks.1.attn.proj.weight", "pretrained.model.blocks.1.attn.proj.bias", "pretrained.model.blocks.1.norm2.weight", "pretrained.model.blocks.1.norm2.bias", "pretrained.model.blocks.1.mlp.fc1.weight", "pretrained.model.blocks.1.mlp.fc1.bias", "pretrained.model.blocks.1.mlp.fc2.weight", "pretrained.model.blocks.1.mlp.fc2.bias", "pretrained.model.blocks.2.gamma_1", "pretrained.model.blocks.2.gamma_2", "pretrained.model.blocks.2.norm1.weight", "pretrained.model.blocks.2.norm1.bias", "pretrained.model.blocks.2.attn.q_bias", "pretrained.model.blocks.2.attn.v_bias", "pretrained.model.blocks.2.attn.relative_position_bias_table", "pretrained.model.blocks.2.attn.qkv.weight", "pretrained.model.blocks.2.attn.proj.weight", "pretrained.model.blocks.2.attn.proj.bias", "pretrained.model.blocks.2.norm2.weight", "pretrained.model.blocks.2.norm2.bias", "pretrained.model.blocks.2.mlp.fc1.weight", "pretrained.model.blocks.2.mlp.fc1.bias", "pretrained.model.blocks.2.mlp.fc2.weight", "pretrained.model.blocks.2.mlp.fc2.bias", "pretrained.model.blocks.3.gamma_1", "pretrained.model.blocks.3.gamma_2", "pretrained.model.blocks.3.norm1.weight", "pretrained.model.blocks.3.norm1.bias", "pretrained.model.blocks.3.attn.q_bias", "pretrained.model.blocks.3.attn.v_bias", "pretrained.model.blocks.3.attn.relative_position_bias_table", "pretrained.model.blocks.3.attn.qkv.weight", "pretrained.model.blocks.3.attn.proj.weight", "pretrained.model.blocks.3.attn.proj.bias", "pretrained.model.blocks.3.norm2.weight", "pretrained.model.blocks.3.norm2.bias", "pretrained.model.blocks.3.mlp.fc1.weight", "pretrained.model.blocks.3.mlp.fc1.bias", "pretrained.model.blocks.3.mlp.fc2.weight", "pretrained.model.blocks.3.mlp.fc2.bias", "pretrained.model.blocks.4.gamma_1", 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[...]
charliebudd commented 5 months ago

The weights you are using are for the Depth Anything architecture "da-*.pt". The weighs for the midas models "mi-*.pt" seem to have failed to upload, will rectify this and make the names clearer.

mhubii commented 5 months ago

maybe good to make them mutually exclusive in load_model

charliebudd commented 5 months ago

Inferring the model type from the weights file would hide important details from the user, I have added a clear error message instead.