Merge back 2.3.0 to develop

.github/workflows/pre_merge.yaml

@@ -153,3 +153,32 @@ jobs:
           rm /tmp/requirements.txt
       - name: Run Integration Test
         run: tox -vv -e integration-test-${{ matrix.task }}
+  Integration-Test-Large:
+    if: |
+      github.event.pull_request.draft == false &&
+      !(startsWith(github.event.pull_request.title, '[WIP]'))
+    runs-on: [self-hosted, linux, x64, dev, dmount]
+    needs: Unit-Test
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+          - task: "detection"
+          - task: "instance_segmentation"
+          - task: "semantic_segmentation"
+    name: Integration-Test-Large-${{ matrix.task }}-py310
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1
+      - name: Install Python
+        uses: actions/setup-python@39cd14951b08e74b54015e9e001cdefcf80e669f # v5.1.1
+        with:
+          python-version: "3.10"
+      - name: Install tox
+        run: |
+          python -m pip install --require-hashes --no-deps -r .ci/requirements.txt
+          pip-compile --generate-hashes --output-file=/tmp/requirements.txt --extra=ci_tox pyproject.toml
+          python -m pip install --require-hashes --no-deps -r /tmp/requirements.txt
+          rm /tmp/requirements.txt
+      - name: Run Integration Test
+        run: tox -vv -e integration-test-${{ matrix.task }}

CHANGELOG.md

@@ -61,6 +61,8 @@ All notable changes to this project will be documented in this file.
   (<https://github.com/openvinotoolkit/training_extensions/pull/3972>)
 - Update model name in rotated detection recipes
   (<https://github.com/openvinotoolkit/training_extensions/pull/4028>)
+- Fix SupCon flag
+  (https://github.com/openvinotoolkit/training_extensions/pull/4076)
 
 ## \[2.2.0\]
 

src/otx/algo/common/utils/bbox_overlaps.py

@@ -152,18 +152,20 @@ def bbox_overlaps(
         msg = "bboxes2 must have a last dimension of size 4 or be an empty tensor."
         raise ValueError(msg)
 
-    if bboxes1.size()[:-2] != bboxes2.size()[:-2]:
+    if bboxes1.shape[:-2] != bboxes2.shape[:-2]:
         msg = "The batch dimension of bboxes must be the same."
         raise ValueError(msg)
 
+    batch_shape = bboxes1.shape[:-2]
+
     rows = bboxes1.size(-2)
     cols = bboxes2.size(-2)
 
     if rows * cols == 0:
         warnings.warn("No bboxes are provided! Returning empty boxes!", stacklevel=2)
         if is_aligned:
-            return bboxes1.new(bboxes1.shape[:-2] + (rows,))
-        return bboxes1.new(bboxes1.shape[:-2] + (rows, cols))
+            return bboxes1.new(batch_shape + (rows,))  # noqa: RUF005
+        return bboxes1.new(batch_shape + (rows, cols))  # noqa: RUF005
 
     area1 = (bboxes1[..., 2] - bboxes1[..., 0]) * (bboxes1[..., 3] - bboxes1[..., 1])
     area2 = (bboxes2[..., 2] - bboxes2[..., 0]) * (bboxes2[..., 3] - bboxes2[..., 1])

src/otx/tools/templates/segmentation/configuration.yaml

@@ -191,7 +191,7 @@ learning_parameters:
       operator: AND
       rules: []
       type: UI_RULES
-    visible_in_ui: true
+    visible_in_ui: false
     warning: null
   auto_adapt_batch_size:
     affects_outcome_of: TRAINING