Bump version: 0.5.0 → 0.5.1

MMelQin · MMelQin · commit 978f28c62d00 · 2023-07-12T22:15:04.000-07:00
Signed-off-by: M Q &lt;mingmelvinq@nvidia.com&gt;
diff --git a/.bumpversion.cfg b/.bumpversion.cfg
@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 0.5.0
+current_version = 0.5.1
 parse = (?P<major>\d+)\.(?P<minor>\d+)\.(?P<patch>\d+)((?P<release>a|b|rc)(?P<build>\d+))?
 serialize = 
 	{major}.{minor}.{patch}{release}{build}
diff --git a/docs/source/getting_started/installing_app_sdk.md b/docs/source/getting_started/installing_app_sdk.md
@@ -2,7 +2,7 @@
 
 MONAI Deploy App SDK is available as a Python package through [Python Package Index (PyPI)](https://pypi.org/project/monai-deploy-app-sdk/).
 
-MONAI Deploy App SDK's core functionality is written in Python 3 (>= 3.7) for Linux.
+MONAI Deploy App SDK's core functionality is written in Python 3 (>= 3.8) for Linux.
 
 ```bash
 pip install monai-deploy-app-sdk
diff --git a/docs/source/getting_started/tutorials/mednist_app.md b/docs/source/getting_started/tutorials/mednist_app.md
@@ -5,11 +5,11 @@ This tutorial demos the process of packaging up a trained model using MONAI Depl
 ## Setup
 
 ```bash
-# Create a virtual environment with Python 3.7.
+# Create a virtual environment with Python 3.8.
 # Skip if you are already in a virtual environment.
 # (JupyterLab dropped its support for Python 3.6 since 2021-12-23.
 #  See https://github.com/jupyterlab/jupyterlab/pull/11740)
-conda create -n mednist python=3.7 pytorch jupyterlab cudatoolkit=11.1 -c pytorch -c conda-forge
+conda create -n mednist python=3.8 pytorch jupyterlab cudatoolkit=11.1 -c pytorch -c conda-forge
 conda activate mednist
 
 # Launch JupyterLab if you want to work on Jupyter Notebook
diff --git a/docs/source/getting_started/tutorials/monai_bundle_app.md b/docs/source/getting_started/tutorials/monai_bundle_app.md
@@ -5,11 +5,11 @@ This tutorial shows how to create an organ segmentation application for a PyTorc
 ## Setup
 
 ```bash
-# Create a virtual environment with Python 3.7.
+# Create a virtual environment with Python 3.8.
 # Skip if you are already in a virtual environment.
 # (JupyterLab dropped its support for Python 3.6 since 2021-12-23.
 #  See https://github.com/jupyterlab/jupyterlab/pull/11740)
-conda create -n monai python=3.7 pytorch torchvision jupyterlab cudatoolkit=11.1 -c pytorch -c conda-forge
+conda create -n monai python=3.8 pytorch torchvision jupyterlab cudatoolkit=11.1 -c pytorch -c conda-forge
 conda activate monai
 
 # Launch JupyterLab if you want to work on Jupyter Notebook
diff --git a/docs/source/getting_started/tutorials/segmentation_app.md b/docs/source/getting_started/tutorials/segmentation_app.md
@@ -5,11 +5,11 @@ This tutorial shows how to create an organ segmentation application for a PyTorc
 ## Setup
 
 ```bash
-# Create a virtual environment with Python 3.7.
+# Create a virtual environment with Python 3.8.
 # Skip if you are already in a virtual environment.
 # (JupyterLab dropped its support for Python 3.6 since 2021-12-23.
 #  See https://github.com/jupyterlab/jupyterlab/pull/11740)
-conda create -n monai python=3.7 pytorch torchvision jupyterlab cudatoolkit=11.1 -c pytorch -c conda-forge
+conda create -n monai python=3.8 pytorch torchvision jupyterlab cudatoolkit=11.1 -c pytorch -c conda-forge
 conda activate monai
 
 # Launch JupyterLab if you want to work on Jupyter Notebook
diff --git a/docs/source/getting_started/tutorials/segmentation_clara-viz_app.md b/docs/source/getting_started/tutorials/segmentation_clara-viz_app.md
@@ -5,11 +5,11 @@ This tutorial shows how to create an organ segmentation application for a PyTorc
 ## Setup
 
 ```bash
-# Create a virtual environment with Python 3.7.
+# Create a virtual environment with Python 3.8.
 # Skip if you are already in a virtual environment.
 # (JupyterLab dropped its support for Python 3.6 since 2021-12-23.
 #  See https://github.com/jupyterlab/jupyterlab/pull/11740)
-conda create -n monai python=3.7 pytorch torchvision jupyterlab cudatoolkit=11.1 -c pytorch -c conda-forge
+conda create -n monai python=3.8 pytorch torchvision jupyterlab cudatoolkit=11.1 -c pytorch -c conda-forge
 conda activate monai
 
 # Launch JupyterLab if you want to work on Jupyter Notebook
diff --git a/docs/source/getting_started/tutorials/simple_app.md b/docs/source/getting_started/tutorials/simple_app.md
@@ -5,11 +5,11 @@ This tutorial shows how to develop a simple image processing application can be
 ## Setup
 
 ```bash
-# Create a virtual environment with Python 3.7.
+# Create a virtual environment with Python 3.8.
 # Skip if you are already in a virtual environment.
 # (JupyterLab dropped its support for Python 3.6 since 2021-12-23.
 #  See https://github.com/jupyterlab/jupyterlab/pull/11740)
-conda create -n monai python=3.7 pytorch torchvision jupyterlab cudatoolkit=11.1 -c pytorch -c conda-forge
+conda create -n monai python=3.8 pytorch torchvision jupyterlab cudatoolkit=11.1 -c pytorch -c conda-forge
 conda activate monai
 
 # Launch JupyterLab if you want to work on Jupyter Notebook
diff --git a/docs/source/release_notes/index.md b/docs/source/release_notes/index.md
@@ -10,6 +10,7 @@
 ```{toctree}
 :maxdepth: 1
 
+v0.5.1
 v0.5.0
 ```
 ## Version 0.4
diff --git a/docs/source/release_notes/v0.5.1.md b/docs/source/release_notes/v0.5.1.md
@@ -0,0 +1,42 @@
+# Version 0.5.1 (July 12, 2023)
+
+This is a patch release of [v0.5](https://docs.monai.io/projects/monai-deploy-app-sdk/en/stable/release_notes/v0.5.0.html#), to address compatibility
+issues with newer versions of dependent packages, as well as adding enhancements to built-in operators.
+
+## What's new
+
+- Starting with this release, support [typeguard](https://typeguard.readthedocs.io/en/latest/) v3.0.0 and above
+    - typeguard v3.0.0 introduced breaking changes in its API, causing failure in the App SDK v0.5 since it was implemented using earlier versions
+    - work-around with pinning the typeguard version to v2 must be removed in the applications' dependency requirements
+- Python 3.8 and above are now required
+- Enhancement to support running Jupyter Notebooks with Python 3.10
+- New NIfTI data loader operator
+- Enhancements to inference operator, DICOM Seg Writer operator, CLI Packager, and more, see details below
+
+## What's fixed/updated
+
+- Update SDK to support typeguard v3.0 and above, [#438](https://github.com/Project-MONAI/monai-deploy-app-sdk/pull/438) by MMelQin
+- Fixes Project-MONAI/monai-deploy-app-sdk: running Jupyter notebooks with Python 3.10, [#436](https://github.com/Project-MONAI/monai-deploy-app-sdk/pull/436) by filipmu
+- Updated the MEDNIST tutorial notebooks by adding the dependencies of pydicom and highdicom, [#435](https://github.com/Project-MONAI/monai-deploy-app-sdk/pull/435) by MMelQin
+- Added option for SimpleInferer for the monai_seg_inference_operator, [#428](https://github.com/Project-MONAI/monai-deploy-app-sdk/pull/428) by vikashg
+- [Interim and obsoleted]Fix issue 410 where the latest typeguard version 3.x is incompatible, [#411](https://github.com/Project-MONAI/monai-deploy-app-sdk/pull/411) by MMelQin
+- Enable AMD GPU [via the base image passed to the Packager], [#406](https://github.com/Project-MONAI/monai-deploy-app-sdk/pull/406) by vickytsang
+- Expose option to omit empty frames, enhancement for the DICOM Seg Writer, [#401](https://github.com/Project-MONAI/monai-deploy-app-sdk/pull/401) by CPBridge
+- Add london_aicentre_aide README, [#398](https://github.com/Project-MONAI/monai-deploy-app-sdk/pull/398) by hshuaib90
+- Make the output DICOM SR instance part of the original study, enhancement, [#394](https://github.com/Project-MONAI/monai-deploy-app-sdk/pull/394) by MMelQin
+- Update README.md, [#391](https://github.com/Project-MONAI/monai-deploy-app-sdk/pull/391) by dbericat
+- Fix runtime error for MAP of breast density classification app, [#387](https://github.com/Project-MONAI/monai-deploy-app-sdk/pull/387) by MMelQin
+- ENH: Versions as strings, not numbers, so that 3.1 != 3.10, etc., [#385](https://github.com/Project-MONAI/monai-deploy-app-sdk/pull/385) by Leengit
+- A breast density monai application package, [#384](https://github.com/Project-MONAI/monai-deploy-app-sdk/pull/384) by vikashg
+- Enhance Packager to make the MAP more secure, easier to use, and based on new version of PyTorch image for newer CUDA versions, [#381](https://github.com/Project-MONAI/monai-deploy-app-sdk/pull/381) by MMelQin
+- Fix app requirements to working version, [#380](https://github.com/Project-MONAI/monai-deploy-app-sdk/pull/380) by aihsani
+- Enhanced code to extract and parse specific config files from TorchScript archive, [#378](https://github.com/Project-MONAI/monai-deploy-app-sdk/pull/378) by MMelQin
+- Merge Nuance Updates, [#377](https://github.com/Project-MONAI/monai-deploy-app-sdk/pull/377) by iain-henderson
+- Added a NIfTi data loader for issue #270, [#361](https://github.com/Project-MONAI/monai-deploy-app-sdk/pull/361) by vikashg
+
+## Additional information
+Please visit [GETTING STARTED](/getting_started/index) guide and follow the tutorials.
+
+You can learn more about SDK usage through [DEVELOPING WITH SDK](/developing_with_sdk/index).
+
+Please let us know how you like it and what could be improved by [submitting an issue](https://github.com/Project-MONAI/monai-deploy-app-sdk/issues/new/choose) or [asking questions](https://github.com/Project-MONAI/monai-deploy-app-sdk/discussions)
