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♻️ High Level engines Import #607

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merged 7 commits into from
May 26, 2023
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  • High Level engines Import

- High Level `engines` Import
@shaneahmed shaneahmed self-assigned this May 12, 2023
@shaneahmed shaneahmed added this to the Release v1.5.0 milestone May 12, 2023
@shaneahmed shaneahmed added the refactoring Code Refactoring label May 12, 2023
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codecov bot commented May 12, 2023

Codecov Report

Merging #607 (3260281) into develop (2982c90) will decrease coverage by 0.01%.
The diff coverage is 100.00%.

@@             Coverage Diff             @@
##           develop     #607      +/-   ##
===========================================
- Coverage    99.77%   99.77%   -0.01%     
===========================================
  Files           63       63              
  Lines         6785     6779       -6     
  Branches      1352     1352              
===========================================
- Hits          6770     6764       -6     
  Misses           7        7              
  Partials         8        8              
Impacted Files Coverage Δ
tiatoolbox/cli/nucleus_instance_segment.py 100.00% <100.00%> (ø)
tiatoolbox/cli/patch_predictor.py 100.00% <100.00%> (ø)
tiatoolbox/cli/semantic_segment.py 100.00% <100.00%> (ø)
tiatoolbox/models/__init__.py 100.00% <100.00%> (ø)

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- Use `scikit-image` format
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@mostafajahanifar mostafajahanifar left a comment

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Thanks, Shan for doing this PR. It looks all good 👍

@shaneahmed shaneahmed merged commit 57c5b00 into develop May 26, 2023
@shaneahmed shaneahmed deleted the ref-highlevel-import-engines branch May 26, 2023 13:10
@shaneahmed shaneahmed mentioned this pull request Dec 15, 2023
shaneahmed added a commit that referenced this pull request Dec 15, 2023
## 1.5.0 (2023-12-15)

### Major Updates and Feature Improvements

- Adds the bokeh visualization tool. #684
  - The tool allows a user to launch a server on their machine to visualise whole slide images, overlay the results of deep learning algorithms or to select a patch from whole slide image and run TIAToolbox deep learning engines.
  - This tool powers the TIA demos server. For details please see https://tiademos.dcs.warwick.ac.uk/.
- Extends Annotation to Support Init from WKB #639
- Adds `IOConfig` for NuClick in `pretrained_model.yaml` #709
- Adds functions to save the TIAToolbox Engine outputs to Zarr and AnnotationStore files. #724
- Adds Support for QuPath Annotation Imports #721

### Changes to API

- Adds `model.to(device)` and `model.load_model_from_file()` functionality to make it compatible with PyTorch API. #733
- Replaces `pretrained` with `weights` to make the engines compatible with the new PyTorch API. #621
- Adds support for high-level imports for various utility functions and classes such as `WSIReader`, `PatchPredictor` and `imread` #606, #607,
- Adds `tiatoolbox.typing` for type hints. #619
- Fixes incorrect file size saved by `save_tiles`, issue with certain WSIs raised by @TomastpPereira
- TissueMasker transform now returns mask instead of a list. #748
  - Fixes #732

### Bug Fixes and Other Changes

- Fixes `pixman` incompability error on Colab #601
- Removes `shapely.speedups`. The module no longer has any affect in Shapely >=2.0. #622
- Fixes errors in the slidegraph example notebook #608
- Fixes bugs in WSI Registration #645, #670, #693
- Fixes the situation where PatchExtractor.get_coords() can return patch coords which lie fully outside the bounds of a slide. #712
  - Fixes #710
- Fixes #738 raised by @xiachenrui

### Development related changes

- Replaces `flake8` and `isort` with `ruff` #625, #666
- Adds `mypy` checks to `root` and `utils` package. This will be rolled out in phases to other modules. #723
- Adds a module to detect file types using magic number/signatures #616
- Uses `poetry` for version updates instead of `bump2version`. #638
- Removes `setup.cfg` and uses `pyproject.toml` for project configurations.
- Reduces runtime for some unit tests e.g., #627, #630, #631, #629
- Reuses models and datasets in tests on GitHub actions by utilising cache #641, #644
- Set up parallel tests locally #671

**Full Changelog:** v1.4.0...v1.5.0

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: mostafajahanifar <74412979+mostafajahanifar@users.noreply.github.com>
Co-authored-by: John Pocock <John-P@users.noreply.github.com>
Co-authored-by: DavidBAEpstein <David.Epstein@warwick.ac.uk>
Co-authored-by: David Epstein <22086916+DavidBAEpstein@users.noreply.github.com>
Co-authored-by: Ruqayya Awan <18444369+ruqayya@users.noreply.github.com>
Co-authored-by: Mark Eastwood <20169086+measty@users.noreply.github.com>
Co-authored-by: adamshephard <39619155+adamshephard@users.noreply.github.com>
Co-authored-by: adamshephard <adam.shephard@warwick.ac.uk>
Co-authored-by: Abdol <a@fkrtech.com>
Co-authored-by: Jiaqi-Lv <60471431+Jiaqi-Lv@users.noreply.github.com>
Co-authored-by: Abishek <abishekraj6797@gmail.com>
Co-authored-by: Dmitrii Blaginin <blaginin@mbp.lan>
@shaneahmed shaneahmed mentioned this pull request Dec 15, 2023
shaneahmed added a commit that referenced this pull request Dec 15, 2023
## 1.5.0 (2023-12-15)

### Major Updates and Feature Improvements

- Adds the bokeh visualization tool. #684
  - The tool allows a user to launch a server on their machine to visualise whole slide images, overlay the results of deep learning algorithms or to select a patch from whole slide image and run TIAToolbox deep learning engines.
  - This tool powers the TIA demos server. For details please see https://tiademos.dcs.warwick.ac.uk/.
- Extends Annotation to Support Init from WKB #639
- Adds `IOConfig` for NuClick in `pretrained_model.yaml` #709
- Adds functions to save the TIAToolbox Engine outputs to Zarr and AnnotationStore files. #724
- Adds Support for QuPath Annotation Imports #721

### Changes to API

- Adds `model.to(device)` and `model.load_model_from_file()` functionality to make it compatible with PyTorch API. #733
- Replaces `pretrained` with `weights` to make the engines compatible with the new PyTorch API. #621
- Adds support for high-level imports for various utility functions and classes such as `WSIReader`, `PatchPredictor` and `imread` #606, #607,
- Adds `tiatoolbox.typing` for type hints. #619
- Fixes incorrect file size saved by `save_tiles`, issue with certain WSIs raised by @TomastpPereira
- TissueMasker transform now returns mask instead of a list. #748
  - Fixes #732

### Bug Fixes and Other Changes

- Fixes `pixman` incompability error on Colab #601
- Removes `shapely.speedups`. The module no longer has any affect in Shapely >=2.0. #622
- Fixes errors in the slidegraph example notebook #608
- Fixes bugs in WSI Registration #645, #670, #693
- Fixes the situation where PatchExtractor.get_coords() can return patch coords which lie fully outside the bounds of a slide. #712
  - Fixes #710
- Fixes #738 raised by @xiachenrui

### Development related changes

- Replaces `flake8` and `isort` with `ruff` #625, #666
- Adds `mypy` checks to `root` and `utils` package. This will be rolled out in phases to other modules. #723
- Adds a module to detect file types using magic number/signatures #616
- Uses `poetry` for version updates instead of `bump2version`. #638
- Removes `setup.cfg` and uses `pyproject.toml` for project configurations.
- Reduces runtime for some unit tests e.g., #627, #630, #631, #629
- Reuses models and datasets in tests on GitHub actions by utilising cache #641, #644
- Set up parallel tests locally #671

**Full Changelog:** v1.4.0...v1.5.0
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