Add ImageToDisc pipeline step for saving processed images to file#370
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Add ImageToDisc pipeline step for saving processed images to file#370
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Adds a new pipeline-compatible class ImageToDisc to pyopia.io that saves processed pipeline images (raw, background, corrected, segmented, etc.) to an output folder. Supports configurable image keys, scale factor for downsizing, collage mode (all images in one file vs separate files), and image format selection. Co-authored-by: nepstad <152277+nepstad@users.noreply.github.com>
- Keep original image dtypes until conversion is needed (avoid premature float64 conversion) - Move matplotlib/skimage imports from __call__ to the specific methods that need them - Move test-level matplotlib import to module level Co-authored-by: nepstad <152277+nepstad@users.noreply.github.com>
Co-authored-by: nepstad <152277+nepstad@users.noreply.github.com>
Copilot
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changed the title
[WIP] Add means to store background corrected images to file
Add ImageToDisc pipeline step for saving processed images to file
Mar 13, 2026
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@copilot Update documentation with an instructive example of how and when to use this functionality |
Adds documentation in two locations: - toml_config.ipynb: Comprehensive section with configuration options table, examples for separate images and collage mode, and pipeline placement guidance - processing_raw_data.ipynb: Practical section explaining when and how to use ImageToDisc for quality control and visual inspection Co-authored-by: nepstad <152277+nepstad@users.noreply.github.com>
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Added documentation in commit 77618d4:
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Adds a pipeline-compatible class to export intermediate images (raw, background, corrected, segmented) to disk for visualization and manual review.
pyopia.io.ImageToDiscimage_keysselecting which pipeline data to save (default:imraw,imbg,im_corrected,imbw)scale_factorfor downscaling before savecollagemode: combine all stages into a single image, or save separatelyimage_formatselection (default:png)Usage
Tests
7 new tests covering separate/collage modes, scaling, grayscale, binary masks, and missing keys.
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