Constantin Pape
Constantin Pape
I have been using the `mscv-dev-cmd` in a couple of my github workflowss to set the VC environment variables. This stopped working across the board a couple of weeks ago,...
The conversion to `uint8` for float data in https://github.com/constantinpape/cluster_tools/blob/master/cluster_tools/copy_volume/copy_volume.py#L208-L214 is incorrect since it just normalizes based on the local statistics, which will lead to artifacts. Instead we need to compute...
the edge feature computations are not working quite correctly: - [ ] affinity features: none of the feature values agree for all edges - [ ] boundary features: the edge...
Replace kernighan lin [here](https://github.com/constantinpape/cluster_tools/blob/master/cluster_tools/multicut/solve_global.py#L44). Make sure that the corresponding nifty version is released beforehand.
Not all links are there yet: https://github.com/constantinpape/cluster_tools/blob/master/publications/leveraging_domain_knowledge/README.md#obtaining-the-data
This should be not too hard to fix, by exposing and using the `maxNodeId` of `nifty.distributed.Graph`.
Because graph computation and feature extraction expect n5 input data. To fix this, we would need to support hdf5 inputs for these computations in nifty.
Add custom `JsonEncoder` / `JsonDecoder` to properly handle nan and inf attributes, see #412. Also adds a test to ensure these values are properly encoded / decoded. This is still...
When using zarr with n5 backend, it's currently not possible to write the attributes that are restricted for usage in n5 datasets (for example `dataType`). #### Minimal, reproducible code sample,...