Open will-moore opened 2 months ago
Name | Link |
---|---|
Latest commit | e5b5bef98fa87f60c644f3454bab8f71124d0778 |
Latest deploy log | https://app.netlify.com/sites/ome-ngff-validator/deploys/667ebfce592a5b0008ecee88 |
Deploy Preview | https://deploy-preview-35--ome-ngff-validator.netlify.app |
Preview on mobile | Toggle QR Code...Use your smartphone camera to open QR code link. |
To edit notification comments on pull requests, go to your Netlify site configuration.
@joshmoore @d-v-b The data above at https://minio-dev.openmicroscopy.org/idr/v0.5-dev1/6001240.zarr was generated from a local v0.4 NGFF sample with this code (NB: this isn't using ome-zarr-py, just plain zarr v3): One issue is that it doesn't preserve the chunk sizes, since it reads the data as numpy rather than with Dask, so we lose chunks info. Also this code doesn't handle labels, plates, bioformats2raw layout etc.
see: https://github.com/ome/ome2024-ngff-challenge/commit/88317e697e617abd79942508cb82a5696b8164cd
This pull request has been mentioned on Image.sc Forum. There might be relevant details there:
Updated the samples at https://minio-dev.openmicroscopy.org/idr/v0.5-dev1/6001240.zarr and https://minio-dev.openmicroscopy.org/idr/v0.5-dev1/6001240b.zarr with version 0.5-dev1
to corresponds to last commit above and fix of version in schemas at https://github.com/ome/ngff/pull/249
cc @joshmoore
Using schemas from https://github.com/ome/ngff/pull/249 And corresponding data at https://minio-dev.openmicroscopy.org/idr/v0.5-dev1/6001240.zarr
Test at https://deploy-preview-35--ome-ngff-validator.netlify.app/?source=https://minio-dev.openmicroscopy.org/idr/v0.5-dev1/6001240.zarr
And using tensorstore to create v3 zarr data, https://deploy-preview-35--ome-ngff-validator.netlify.app/?source=https://minio-dev.openmicroscopy.org/idr/v0.5-dev1/6001240b.zarr (needed fix in zarrita.js to work)