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Issue and tissue #368
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Issue and tissue #368
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- Significant optimizations for ROI rendering in Studio - New advanced ROI editing window in Studio (WIP), including "merge" and "simplify" functions
- Various fixes with interaction between ROIs and QC, when roi_filter_method is set to a float value - Studio: add ability to change roi_filter_method
- Add `WSI.get_tile_roi_mask()` for obtaining a whole-tile mask of ROIs - Experimental "point" ROI option in Studio (currently just adds a circle)
…me GANs in Studio
… when the size of the last batch is 1)
…hey are structured
…esize` - Rework pytorch pathology pretrained feature extractors to no longer accept the `tile_px` argument, instead accepting `center_crop` or `resize` arguments directly. Previous behavior was to set `center_crop=True` if the `tile_px` did not match the tile size of the model. This disables this behavior and gives the user the ability to choose how mismatched image sizes are handled (crop vs resize)
…is not encoded in the expected manner
…es (`dataset.extract_tiles(mpp_override=...)`)
Updating invert_roi and functions to process tissues_n_issues
Update invert_roi() to work correctly
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These addition allow to specify a list RoI labels that shuold be treated as issues (artifacts), meaning that should be excluded in the tile extraction.
Inside
wsi
the artifact RoIs are still stored in their normal form but the newutils.invert_roi
function invert them when needed.This approach was chosen because to compute the final grid for extraction we need to invert the artifact RoIs do the intersection between them and finally do the intersection between the result and the union of the normal RoIs.
(⋃{RoIs}) ⋂ (⋂{artifacts})