issues: 650547452
This data as json
| id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at | closed_at | author_association | active_lock_reason | draft | pull_request | body | reactions | performed_via_github_app | state_reason | repo | type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 650547452 | MDU6SXNzdWU2NTA1NDc0NTI= | 4196 | Convolution operation | 31700619 | closed | 0 | 10 | 2020-07-03T11:51:15Z | 2024-02-02T18:29:40Z | 2022-04-17T18:09:14Z | CONTRIBUTOR | I would like to perform 2d convolution operation with dask-data stored in xarray, defining the kernel. Related issue are: https://github.com/pydata/xarray/issues/1142 https://github.com/pydata/xarray/issues/2010 https://github.com/pydata/xarray/issues/1323 Referring to Dask, they have a specific image-oriented API which allows for convolutions: http://image.dask.org/en/latest/dask_image.ndfilters.html And this guy already implemented convolution operation based on xarray and dask: https://github.com/serazing https://github.com/serazing/xscale https://xscale.readthedocs.io/en/latest/api.html Are there plans to implement this feature? In the meanwhile I'll try dask-image and xscale. |
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completed | 13221727 | issue |