Comments (1)
Yeah, I expect that this would work in the far future. Indeed the idea was for affinder to be able to align 3D volumes, for which you need four points before you start. I guess based on what you're saying, one of your images had 3 channels, and the other one was maybe 2D only? That would indeed cause a crash.
For now, affinder is assuming that all the dimensions of both images are spatial, and that both images have the same shape. We can probably add some UI elements to select which axes to align, and then affinder can create points layers of the correct dimensionality. Having said that, it will only work with trailing axes until napari is smarter with its axis matching.
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Related Issues (20)
- Task: Allow aligning non-image layers
- wheel building broken?
- Task: add tests for non-image alignment
- GitHub actions and Trove classifiers should be updated to drop Py3.7 and add Py 3.10
- refresh available layers in dropdown HOT 1
- Transformation matrix with skimage.transform.warp HOT 5
- why not make the description the readme? HOT 10
- Should add sample data
- Change docs theme to Pydata Sphinx theme
- Improve documentation, explaining how affinder works
- Add documentation URL to repo description HOT 1
- Extend affinder to 3D HOT 2
- Widget idea: table showing current point coordinates and residuals for each point HOT 6
- Adding layers with small scale values results in absurdly large points
- Starting affinder without layers causes Napari to crash
- apply_affine does not correctly transform images for scales<1 HOT 2
- Limit "Select File" button for output to .txt files
- Need ability to undo point adding and effect of callbacks
- Closing the widget should close affinder
- Add test to ensure moving points layer have the correct affine transform
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