Comments (1)
I think these points are fixed now.
from core-bioimage-io-python.
Related Issues (20)
- Investigate integration of aicsimageio
- Add/improve weight converters
- Loading model resource gives assertion error HOT 2
- Link in example broken HOT 1
- Running `test_model` raises TypeError: list indices must be integers or slices, not str HOT 1
- Improve weights conversion to ONNX HOT 1
- bug when `add_deepimagej_config=True` in `build_model` HOT 5
- Error when importing HOT 2
- add block overlap and block stitching of overlapping blocks with masks/averaging
- Previously working code has stopped to work with import error HOT 8
- Running a model doesn't work when zenodo is down or without internet connection HOT 3
- Pytorch Lightning model adaptor
- imageio version too restrictive? HOT 2
- Plans for weight converter? Common interface. HOT 2
- Prediction for a single block for SAM not working HOT 1
- Optional inputs not working
- How to apply a model from Python HOT 6
- Half precision support? HOT 1
- `bioimageio.core.test_model` skip checking `pytorch_state_dict` if `torchscript` is given HOT 3
- `bioimageio.core.test_model` passes but GitHub CI fails
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