Add warning message to tiling parameter (#2193)

* add warning to tiling parameter

* add changelog and change requirement

Author: eugene123tw

CHANGELOG.md

@@ -4,6 +4,10 @@ All notable changes to this project will be documented in this file.
 
 ## \[v1.2.2\]
 
+### Enhancements
+
+- Improve warning message for tiling configurable parameter
+
 ## \[v1.2.1\]
 
 ### Enhancements

otx/algorithms/common/configs/training_base.py

@@ -328,7 +328,9 @@ class BaseTilingParameters(ParameterGroup):
             default_value=False,
             header="Enable tiling",
             description="Set to True to allow tiny objects to be better detected.",
-            warning="Tiling trades off speed for accuracy as it increases the number of images to be processed.",
+            warning="Tiling trades off speed for accuracy as it increases the number of images to be processed. "
+            "Important: In the current version, depending on the dataset size and the available hardware resources, "
+            "a model may not train successfully when tiling is enabled.",
             affects_outcome_of=ModelLifecycle.NONE,
         )
 

otx/algorithms/detection/configs/detection/configuration.yaml

@@ -480,7 +480,7 @@ tiling_parameters:
       type: UI_RULES
     value: true
     visible_in_ui: true
-    warning: Tiling trades off speed for accuracy as it increases the number of images to be processed. In turn, it's memory efficient as smaller resolution patches are handled at onces so that the possibility of OOM issues could be reduced.
+    warning: "Tiling trades off speed for accuracy as it increases the number of images to be processed. In turn, it's memory efficient as smaller resolution patches are handled at onces so that the possibility of OOM issues could be reduced. Important: In the current version, depending on the dataset size and the available hardware resources, a model may not train successfully when tiling is enabled."
 
   enable_adaptive_params:
     header: Enable adaptive tiling parameters

otx/algorithms/detection/configs/instance_segmentation/configuration.yaml

@@ -480,7 +480,7 @@ tiling_parameters:
       type: UI_RULES
     value: true
     visible_in_ui: true
-    warning: Tiling trades off speed for accuracy as it increases the number of images to be processed. In turn, it's memory efficient as smaller resolution patches are handled at onces so that the possibility of OOM issues could be reduced.
+    warning: "Tiling trades off speed for accuracy as it increases the number of images to be processed. In turn, it's memory efficient as smaller resolution patches are handled at onces so that the possibility of OOM issues could be reduced. Important: In the current version, depending on the dataset size and the available hardware resources, a model may not train successfully when tiling is enabled."
 
   enable_tile_classifier:
     header: Enable tile classifier

otx/algorithms/detection/configs/rotated_detection/configuration.yaml

@@ -427,7 +427,7 @@ tiling_parameters:
       type: UI_RULES
     value: true
     visible_in_ui: true
-    warning: Tiling trades off speed for accuracy as it increases the number of images to be processed. In turn, it's memory efficient as smaller resolution patches are handled at onces so that the possibility of OOM issues could be reduced.
+    warning: "Tiling trades off speed for accuracy as it increases the number of images to be processed. In turn, it's memory efficient as smaller resolution patches are handled at onces so that the possibility of OOM issues could be reduced. Important: In the current version, depending on the dataset size and the available hardware resources, a model may not train successfully when tiling is enabled."
 
   enable_adaptive_params:
     header: Enable adaptive tiling parameters

otx/api/usecases/exportable_code/demo/requirements.txt

@@ -1,4 +1,4 @@
 openvino==2022.3.0
 openmodelzoo-modelapi==2022.3.0
-otx==1.2.1
+otx==1.2.2
 numpy>=1.21.0,<=1.23.5  # np.bool was removed in 1.24.0 which was used in openvino runtime