0.7.0 release prepare (#1466)

* change to monai 1.2.0 Signed-off-by: tangy5 <[email protected]> * use exact monai 1.2.0 Signed-off-by: tangy5 <[email protected]> * disable USE_META_DICT Signed-off-by: tangy5 <[email protected]> * update what's new and docs Signed-off-by: tangy5 <[email protected]> * fix link Signed-off-by: tangy5 <[email protected]> * fix blank line Signed-off-by: tangy5 <[email protected]> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: tangy5 <[email protected]> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Project-MONAI · Jun 9, 2023 · 645f707 · 645f707
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diff --git a/Dockerfile b/Dockerfile
@@ -13,7 +13,7 @@
 # please run `./runtests.sh --clean && DOCKER_BUILDKIT=1 docker build -t projectmonai/monailabel:latest .`
 # to use different version of MONAI pass `--build-arg MONAI_IMAGE=...`
 
-ARG MONAI_IMAGE=projectmonai/monai:1.2.0rc6
+ARG MONAI_IMAGE=projectmonai/monai:1.2.0
 ARG NODE_IMAGE=node:slim
 
 FROM ${NODE_IMAGE} as ohifbuild

diff --git a/docs/source/installation.rst b/docs/source/installation.rst
@@ -50,7 +50,7 @@ Prerequisites
 --------------------------
 MONAI Label supports both **Ubuntu** and **Windows** OS with GPU/CUDA enabled.
 
-Make sure you have python 3.7/3.8/3.9 version environment with PyTorch and CUDA installed.  MONAI Label features on other python version are not verified.
+Make sure you have python 3.8/3.9 version environment with PyTorch and CUDA installed.  MONAI Label features on other python version are not verified.
 
 - Install `Python <https://www.python.org/downloads/>`_
 - Install the following Python libraries

diff --git a/docs/source/whatsnew.rst b/docs/source/whatsnew.rst
@@ -15,6 +15,39 @@
 What's New
 ==========
 
+
+0.7.0
+=====
+
+- Multi Users authentication and KeyCloak Integration
+  - MONAI Label APIs with Keycloak integration for user authentication and role based access.
+  - Login support for 3D Slicer via MONAILabel + KeyClock.
+
+- Whole Body CT segmentation
+  - Segmenting 104 anatomies in 4 seconds!
+  - `whole body CT segmentation <https://github.com/Project-MONAI/model-zoo/tree/dev/models/wholeBody_ct_segmentation>`_.
+
+- MONAI Bundle Support Improvements
+  - Support visualization of bundle config option.
+  - Enhancement of monai-zoo access.
+  - Support bundle downloading from NGC.
+  - Enhacement of multi-gpu training of bundles.
+
+- CI/CD and tests
+  - blossom CI/CD and pre-merge pipeline enabled.
+  - Increased Unit tests coverage to 80%.
+
+- Updated pretrained models:
+  - segmentation
+  - deepedit
+
+- New MONAI Label Tutorial Series
+  - Quickstart tutorials and installation instructions in `notebooks <https://github.com/Project-MONAI/tutorials/tree/main/monailabel>`_.
+
+- Documentation enhancements
+  - New look in main README, Sample App READMEs, and Plugin READMEs.
+
+
 0.6.0
 =====
 

diff --git a/requirements.txt b/requirements.txt
@@ -9,7 +9,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-monai[nibabel, skimage, pillow, tensorboard, gdown, ignite, torchvision, itk, tqdm, lmdb, psutil, openslide, fire, mlflow]>=1.2.0rc6
+monai[nibabel, skimage, pillow, tensorboard, gdown, ignite, torchvision, itk, tqdm, lmdb, psutil, openslide, fire, mlflow]>=1.2.0
 uvicorn==0.21.1
 pydantic>=1.10.7
 python-dotenv==1.0.0

diff --git a/runtests.sh b/runtests.sh
@@ -411,7 +411,7 @@ if [ $doMypyFormat = true ]; then
 fi
 
 # testing command to run
-export USE_META_DICT=1  # for 0.9.0 compatibility
+# export USE_META_DICT=1  # for 0.9.0 compatibility
 cmd="${PY_EXE}"
 
 

diff --git a/setup.cfg b/setup.cfg
@@ -35,7 +35,7 @@ setup_requires =
     torch
     ninja
 install_requires =
-    monai[nibabel, skimage, pillow, tensorboard, gdown, ignite, torchvision, itk, tqdm, lmdb, psutil, openslide, fire, mlflow]>=1.2.0rc6
+    monai[nibabel, skimage, pillow, tensorboard, gdown, ignite, torchvision, itk, tqdm, lmdb, psutil, openslide, fire, mlflow]>=1.2.0
     uvicorn==0.21.1
     pydantic>=1.10.7
     python-dotenv==1.0.0