[bake] downloading inputs
[bake] frames: ['eq_000122.jpg', 'eq_000358.jpg']
[gt] pano_camera00/eq_000122.jpg: 427 sparse obs
[gt] pano_camera05/eq_000122.jpg: 682 sparse obs
[gt] pano_camera06/eq_000122.jpg: 25 sparse obs
[gt] pano_camera10/eq_000122.jpg: 28 sparse obs
[gt] pano_camera00/eq_000358.jpg: 931 sparse obs
[gt] pano_camera05/eq_000358.jpg: 391 sparse obs
[gt] pano_camera06/eq_000358.jpg: 16 sparse obs
[gt] pano_camera10/eq_000358.jpg: 3 sparse obs
Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.
Device set to use cuda:0
/tmp/bakeoff_pod.py:184: DeprecationWarning: __array__ implementation doesn't accept a copy keyword, so passing copy=False failed. __array__ must implement 'dtype' and 'copy' keyword arguments. To learn more, see the migration guide https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword
  disp = np.array(pred["predicted_depth"])
/usr/local/lib/python3.11/dist-packages/torch/hub.py:295: UserWarning: You are about to download and run code from an untrusted repository. In a future release, this won't be allowed. To add the repository to your trusted list, change the command to {calling_fn}(..., trust_repo=False) and a command prompt will appear asking for an explicit confirmation of trust, or load(..., trust_repo=True), which will assume that the prompt is to be answered with 'yes'. You can also use load(..., trust_repo='check') which will only prompt for confirmation if the repo is not already trusted. This will eventually be the default behaviour
  warnings.warn(
Downloading: "https://github.com/yvanyin/metric3d/zipball/main" to /root/.cache/torch/hub/main.zip
/usr/local/lib/python3.11/dist-packages/timm/models/layers/__init__.py:49: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers
  warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning)
/usr/local/lib/python3.11/dist-packages/timm/models/registry.py:4: FutureWarning: Importing from timm.models.registry is deprecated, please import via timm.models
  warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.models", FutureWarning)
xFormers not available
xFormers not available
xFormers not available
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Downloading: "https://huggingface.co/JUGGHM/Metric3D/resolve/main/metric_depth_vit_small_800k.pth" to /root/.cache/torch/hub/checkpoints/metric_depth_vit_small_800k.pth

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Using cache found in /root/.cache/torch/hub/yvanyin_metric3d_main
Downloading: "https://huggingface.co/JUGGHM/Metric3D/resolve/main/metric_depth_vit_large_800k.pth" to /root/.cache/torch/hub/checkpoints/metric_depth_vit_large_800k.pth

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[bake] uploaded, done