Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Add support for vector/RGB/RGBA images #32

Open
dzenanz opened this issue Mar 30, 2023 · 2 comments
Open

Add support for vector/RGB/RGBA images #32

dzenanz opened this issue Mar 30, 2023 · 2 comments
Assignees
@dzenanz

Comments

@dzenanz
Copy link
Member

dzenanz commented Mar 30, 2023 •
edited
Loading

OME-Zarr channel axis should be represented using ITK's vectors, with the usual exception of 3-channel images using RGBPixel and 4-channel ones using RGBAPixel as component type. This will necessitate changing memory layout if the zarr store is not already in an order where channel is fastest-changing index.
@dzenanz dzenanz self-assigned this Mar 30, 2023
@dzenanz dzenanz mentioned this issue Aug 1, 2023
Merged
@dzenanz
Copy link
Member Author

dzenanz commented Aug 9, 2023

OME-Zarr channel axis should be represented using ITK's vectors, with the usual exception of 3-channel images using RGBPixel and 4-channel ones using RGBAPixel as component type.

@dzenanz dzenanz mentioned this issue Aug 9, 2023
Open
@dzenanz
Copy link
Member Author

dzenanz commented Aug 9, 2023

I moved the above comment into issue description and added further text.

@dzenanz dzenanz changed the title Add support for vector images Add support for vector/RGB/RGBA images Aug 9, 2023
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees

@dzenanz dzenanz

Labels
None yet
Projects
IO-NGFF Roadmap
Status: Todo
Milestone
No milestone
Development

No branches or pull requests
1 participant
@dzenanz