Release 0.8.4 checks and updates (#1757)

* Release 0.8.4 checks and updates

Signed-off-by: tangy5 <[email protected]>

* Trigger monai container update

Signed-off-by: tangy5 <[email protected]>

* Drop python 3.8

Signed-off-by: tangy5 <[email protected]>

* Drop python 3.8

Signed-off-by: tangy5 <[email protected]>

---------

Signed-off-by: tangy5 <[email protected]>
Co-authored-by: tangy5 <[email protected]>
Signed-off-by: YunLiu <[email protected]>

Author: 2 people

Dockerfile

@@ -13,7 +13,8 @@
 # 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:1.3.1
+ARG MONAI_IMAGE=projectmonai/monai:1.4.0
+
 ARG NODE_IMAGE=node:slim
 
 FROM ${NODE_IMAGE} as ohifbuild

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]>=1.3.1
+monai[nibabel, skimage, pillow, tensorboard, gdown, ignite, torchvision, itk, tqdm, lmdb, psutil, openslide, fire, mlflow]>=1.4.0
 uvicorn==0.29.0
 pydantic==2.7.0
 pydantic-settings==2.2.1

sample-apps/endoscopy/lib/configs/inbody.py

@@ -35,7 +35,7 @@ def init(self, name: str, model_dir: str, conf: Dict[str, str], planner: Any, **
         super().init(name, model_dir, conf, planner, **kwargs)
 
         bundle_name = "endoscopic_inbody_classification"
-        version = conf.get("inbody", "0.4.8")
+        version = conf.get("inbody", "0.4.9")
         zoo_source = conf.get("zoo_source", settings.MONAI_ZOO_SOURCE)
 
         self.bundle_path = os.path.join(self.model_dir, bundle_name)

sample-apps/endoscopy/lib/configs/tooltracking.py

@@ -35,7 +35,7 @@ def init(self, name: str, model_dir: str, conf: Dict[str, str], planner: Any, **
         super().init(name, model_dir, conf, planner, **kwargs)
 
         bundle_name = "endoscopic_tool_segmentation"
-        version = conf.get("tooltracking", "0.5.9")
+        version = conf.get("tooltracking", "0.6.0")
         zoo_source = conf.get("zoo_source", settings.MONAI_ZOO_SOURCE)
 
         self.bundle_path = os.path.join(self.model_dir, bundle_name)

sample-apps/pathology/lib/configs/classification_nuclei.py

@@ -31,7 +31,7 @@ def init(self, name: str, model_dir: str, conf: Dict[str, str], planner: Any, **
 
         bundle_name = "pathology_nuclei_classification"
         zoo_source = conf.get("zoo_source", settings.MONAI_ZOO_SOURCE)
-        version = conf.get("classification_nuclei", "0.1.7")
+        version = conf.get("classification_nuclei", "0.2.0")
 
         self.bundle_path = os.path.join(self.model_dir, bundle_name)
         if not os.path.exists(self.bundle_path):

sample-apps/pathology/lib/configs/hovernet_nuclei.py

@@ -31,7 +31,7 @@ def init(self, name: str, model_dir: str, conf: Dict[str, str], planner: Any, **
 
         bundle_name = "pathology_nuclei_segmentation_classification"
         zoo_source = conf.get("zoo_source", settings.MONAI_ZOO_SOURCE)
-        version = conf.get("hovernet_nuclei", "0.2.4")
+        version = conf.get("hovernet_nuclei", "0.2.6")
 
         self.bundle_path = os.path.join(self.model_dir, bundle_name)
         if not os.path.exists(self.bundle_path):

sample-apps/pathology/lib/configs/nuclick.py

@@ -31,7 +31,7 @@ def init(self, name: str, model_dir: str, conf: Dict[str, str], planner: Any, **
 
         bundle_name = "pathology_nuclick_annotation"
         zoo_source = conf.get("zoo_source", settings.MONAI_ZOO_SOURCE)
-        version = conf.get("nuclick", "0.1.9")
+        version = conf.get("nuclick", "0.2.1")
 
         self.bundle_path = os.path.join(self.model_dir, bundle_name)
         if not os.path.exists(self.bundle_path):

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]>=1.3.1
+    monai[nibabel, skimage, pillow, tensorboard, gdown, ignite, torchvision, itk, tqdm, lmdb, psutil, openslide, fire, mlflow]>=1.4.0
     uvicorn>=0.29.0
     pydantic>=2.7.0
     pydantic-settings>=2.2.1