🩹 ENH: Apply Stain Augmentation to Tissue Regions #546
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@@ Coverage Diff @@
## develop #546 +/- ##
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Coverage 99.51% 99.51%
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Files 64 64
Lines 6586 6587 +1
Branches 1079 1080 +1
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+ Hits 6554 6555 +1
Misses 20 20
Partials 12 12
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mostafajahanifar
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All looks great to me.
Thanks, Navid for doing this fix ;-)
shaneahmed
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## 1.4.0 (2023-04-24) ### Major Updates and Feature Improvements - Adds Python 3.11 support \[experimental\] #500 - Python 3.11 is not fully supported by `pytorch` pytorch/pytorch#86566 and `openslide` openslide/openslide-python#188 - Removes Python 3.7 support - This allows upgrading all the dependencies which were dependent on an older version of Python. - Adds Neighbourhood Querying Support To AnnotationStore #540 - This enables easy and efficient querying of annotations within a neighbourhood of other annotations. - Adds `MultiTaskSegmentor` engine #424 - Fixes an issue with stain augmentation to apply augmentation to only tissue regions. - #546 contributed by @navidstuv - Filters logger output to stdout instead of stderr. - Fixes #255 - Allows import of some modules at higher level for improved usability - `WSIReader` can now be imported as `from tiatoolbox.wsicore import WSIReader` - `WSIMeta` can now be imported as `from tiatoolbox.wsicore import WSIMeta` - `HoVerNet`, `HoVerNetPlus`, `IDaRS`, `MapDe`, `MicroNet`, `NuClick`, `SCCNN` can now be imported as \`from tiatoolbox.models import HoVerNet, HoVerNetPlus, IDaRS, MapDe, MicroNet, NuClick, SCCNN - Improves `PatchExtractor` performance. Updates `WSIPatchDataset` to be consistent. #571 - Updates documentation for `License` for clarity on source code and model weights license. ### Changes to API - Updates SCCNN architecture to make it consistent with other models. #544 ### Bug Fixes and Other Changes - Fixes Parsing Missing Omero Version NGFF Metadata #568 - Fixes #535 raised by @benkamphaus - Fixes reading of DICOM WSIs at the correct level #564 - Fixes #529 - Fixes `scipy`, `matplotlib`, `scikit-image` deprecated code - Fixes breaking changes in `DICOMWSIReader` to make it compatible with latest `wsidicom` version. #539, #580 - Updates `shapely` dependency to version >=2.0.0 and fixes any breaking changes. - Fixes bug with `DictionaryStore.bquery` and `geometry=None`, i.e. only a where predicate given. - Partly Fixes #532 raised by @blaginin - Fixes local tests for Windows/Linux - Fixes `flake8`, `deepsource` errors. - Uses `logger` instead of `warnings` and `print` statements to properly log runs. ### Development related changes - Upgrades dependencies which are dependent on Python 3.7 - Moves `requirements*.txt` files to `requirements` folder - Removes `tox` - Uses `pyproject.toml` for `bdist_wheel`, `pytest` and `isort` - Adds `joblib` and `numba` as dependencies.
shaneahmed
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May 5, 2023
## 1.4.0 (2023-04-24) ### Major Updates and Feature Improvements - Adds Python 3.11 support \[experimental\] #500 - Python 3.11 is not fully supported by `pytorch` pytorch/pytorch#86566 and `openslide` openslide/openslide-python#188 - Removes Python 3.7 support - This allows upgrading all the dependencies which were dependent on an older version of Python. - Adds Neighbourhood Querying Support To AnnotationStore #540 - This enables easy and efficient querying of annotations within a neighbourhood of other annotations. - Adds `MultiTaskSegmentor` engine #424 - Fixes an issue with stain augmentation to apply augmentation to only tissue regions. - #546 contributed by @navidstuv - Filters logger output to stdout instead of stderr. - Fixes #255 - Allows import of some modules at higher level for improved usability - `WSIReader` can now be imported as `from tiatoolbox.wsicore import WSIReader` - `WSIMeta` can now be imported as `from tiatoolbox.wsicore import WSIMeta` - `HoVerNet`, `HoVerNetPlus`, `IDaRS`, `MapDe`, `MicroNet`, `NuClick`, `SCCNN` can now be imported as \`from tiatoolbox.models import HoVerNet, HoVerNetPlus, IDaRS, MapDe, MicroNet, NuClick, SCCNN - Improves `PatchExtractor` performance. Updates `WSIPatchDataset` to be consistent. #571 - Updates documentation for `License` for clarity on source code and model weights license. ### Changes to API - Updates SCCNN architecture to make it consistent with other models. #544 ### Bug Fixes and Other Changes - Fixes Parsing Missing Omero Version NGFF Metadata #568 - Fixes #535 raised by @benkamphaus - Fixes reading of DICOM WSIs at the correct level #564 - Fixes #529 - Fixes `scipy`, `matplotlib`, `scikit-image` deprecated code - Fixes breaking changes in `DICOMWSIReader` to make it compatible with latest `wsidicom` version. #539, #580 - Updates `shapely` dependency to version >=2.0.0 and fixes any breaking changes. - Fixes bug with `DictionaryStore.bquery` and `geometry=None`, i.e. only a where predicate given. - Partly Fixes #532 raised by @blaginin - Fixes local tests for Windows/Linux - Fixes `flake8`, `deepsource` errors. - Uses `logger` instead of `warnings` and `print` statements to properly log runs. ### Development related changes - Upgrades dependencies which are dependent on Python 3.7 - Moves `requirements*.txt` files to `requirements` folder - Removes `tox` - Uses `pyproject.toml` for `bdist_wheel`, `pytest` and `isort` - Adds `joblib` and `numba` as dependencies.
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Getting tissue mask should be ignored when we are applying staing augmentation on background regions. This causes error when all image is white. This can happen when you have fully background image in your training data.