Comments (3)
@Soorya19Pradeep please link the path to the module or your script that needs debugging here. Thanks for flagging this!
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Sure @mattersoflight . The problem seems to come from the prediction module in my code here. The same line in the test module here gives the right result (first image above).
I will inspect the source fed to the model in each of these modules and update the issue.
from viscy.
I am closing the issue here. The issue has been resolved.
There were two issues here. The issue with the prediction was already resolved when I recreated a fresh conda environment using a fresh installation of VisCy.
Secondly, the issue seemed to persist as napari did not show me the new results. The wrong result kept showing even when I reopened a fresh napari window and created new zarr stores. On loading the same zarr today with a new OnDemand session it shows the expected result.
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Related Issues (20)
- Compatibility issues HOT 10
- Contrastive Learning Implementation HOT 1
- Normalization for patches ome-zarr HOT 2
- organize application scripts on GitHub rather than disk
- Illustrative test datasets HOT 4
- API for 2D UNeXt2 model construction needs clarity HOT 2
- WIP: refactor contrastive learning code with virtual staining code HOT 6
- Overflow error seen in training and prediction steps
- switching to tensorboard logger for organelle phenotyping
- document published models on Wiki HOT 1
- Unify stem implementation HOT 1
- Time sampling for positive pair
- Support loading data from a specific resolution of a .zarr pyramid HOT 1
- CLI for multiple training tasks HOT 4
- Move to NumPy style docstrings? HOT 1
- Model size mismatch error during prediction HOT 3
- Implicit negative sampling
- Hard-coded stem stride in `ContrastiveEncoder` HOT 1
- Update the projection head (normalization and size).
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