Running inference with a trained (single) detector#125
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…ngs and error handling; add corresponding unit tests.
…figure_model. In pretrained case, only replace head if required. Add _get_n_classes_in_detector as static method
…sses, loading from ckpt
…. When padding allow casting np.nan (float64) to float32 (same kind). Adapt tests.
…nores misspellings). Edits to docstring
Signed-off-by: sfmig <33267254+sfmig@users.noreply.github.com>
sfmig
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Feb 4, 2026
| # Create dataset | ||
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| images_dir = data_dir / "experts" / "images" | ||
| dataset = InferenceImageDataset( |
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Note to self: can I read the annotations as an ethology dataset, and convert that xarray to a Pytorch-compatible dataset (with xbatcher.loaders.torch.MapDataset, see this example)?
Is it a good idea to add the images to the annotations dataset? (do I need to?)
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TODO:
get_detector_collate_fnget_detector_collate_fnDescription
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