Comments (5)
Strangely, calling np.asarray(Dataset.as_array()).shape[-2:]
return (Y,X). Is this is a difference in convention between dask and numpy? That would be surprising to me.
from ndtiffstorage.
Agree that would be weird.
The correct ordering is (Y, X), yeah?
from ndtiffstorage.
That's right, the correct ordering is (Y, X). If I read a single image with tifffile
it comes out in that shape
from ndtiffstorage.
Do you want to look into the cause or shall I?
from ndtiffstorage.
I'm a bit tied up these days, go ahead if you have bandwidth
from ndtiffstorage.
Related Issues (17)
- NDTiffStorage in pycro-manager HOT 14
- Please tag the release commits HOT 3
- ndtiff Datasets cannot be pickled HOT 3
- Document format and API HOT 2
- Opening ndtiff dataset in two different processes HOT 2
- Add pixel types for 9 bit, 13 bit, 15 bit
- Dataset.as_array() returns array of wrong size for stitched images HOT 2
- Feature Request: improve TIFF file portability HOT 4
- Bug report: path separator is appended twice to file path HOT 1
- Update requirements HOT 2
- How to remove data in a specific axes of a ndtiff file? HOT 1
- V3.2 breaks reading and writing code, is this so important to break backward compatbility? HOT 8
- Change signature of MultiResNDTiffAPI.increaseMaxResolution HOT 1
- Files get progressively smaller in large datasetes
- Add pytest tests for dataset loading HOT 7
- Check for incorrect metadata reading
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