update deployment

src/otx/algo/detection/deployment.py

@@ -0,0 +1,19 @@
+"""Functions for mmdeploy adapters."""
+# Copyright (C) 2024 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+#
+
+import importlib
+
+
+def is_mmdeploy_enabled() -> bool:
+    """Checks if the 'mmdeploy' Python module is installed and available for use.
+
+    Returns:
+        bool: True if 'mmdeploy' is installed, False otherwise.
+
+    Example:
+        >>> is_mmdeploy_enabled()
+        True
+    """
+    return importlib.util.find_spec("mmdeploy") is not None

src/otx/algo/instance_segmentation/mmconfigs/maskrcnn_r50.yaml

@@ -1,6 +1,6 @@
 load_from: https://download.openmmlab.com/mmdetection/v2.0/mask_rcnn/mask_rcnn_r50_fpn_mstrain-poly_3x_coco/mask_rcnn_r50_fpn_mstrain-poly_3x_coco_20210524_201154-21b550bb.pth
 type: "MaskRCNN"
-# _scope_: mmengine
+_scope_: mmengine
 backbone:
   type: "ResNet"
   depth: 50

src/otx/algo/instance_segmentation/mmdet/models/detectors/two_stage.py

@@ -15,7 +15,7 @@
 from mmengine.registry import MODELS
 from torch import Tensor
 
-from otx.algo.instance_segmentation.mmdet.deployment import is_mmdeploy_enabled
+from otx.algo.detection.deployment import is_mmdeploy_enabled
 from otx.algo.instance_segmentation.mmdet.models.custom_roi_head import CustomRoIHead
 from otx.algo.instance_segmentation.mmdet.models.dense_heads import RPNHead
 from otx.algo.instance_segmentation.mmdet.models.necks import FPN