From 30180597131584862c81af3323f58c7dac7cd772 Mon Sep 17 00:00:00 2001
From: Vladisalv Sovrasov <sovrasov.vlad@gmail.com>
Date: Fri, 25 Jul 2025 02:47:27 +0900
Subject: [PATCH 01/20] Add support of holes to contours generation

---
 .../model_api/models/result/segmentation.py   | 11 ++++++++--
 src/python/model_api/models/segmentation.py   | 22 ++++++++++++++-----
 2 files changed, 26 insertions(+), 7 deletions(-)

diff --git a/src/python/model_api/models/result/segmentation.py b/src/python/model_api/models/result/segmentation.py
index 37ffff85..7babc47f 100644
--- a/src/python/model_api/models/result/segmentation.py
+++ b/src/python/model_api/models/result/segmentation.py
@@ -149,13 +149,20 @@ def rotated_rects(self, value):
 
 
 class Contour:
-    def __init__(self, label: str, probability: float, shape: list[tuple[int, int]]):
+    def __init__(self, label: str, probability: float, shape: np.ndarray, child_shapes: list[np.ndarray] | None = None):
         self.shape = shape
         self.label = label
         self.probability = probability
+        self.child_shapes = child_shapes
 
     def __str__(self):
-        return f"{self.label}: {self.probability:.3f}, {len(self.shape)}"
+        repr = f"{self.label}: {self.probability:.3f}, {len(self.shape)}"
+        if self.child_shapes is not None:
+            repr += f", {len(self.child_shapes)}"
+        return repr
+
+    def __repr__(self):
+        return self.__str__()
 
 
 class ImageResultWithSoftPrediction(Result):
diff --git a/src/python/model_api/models/segmentation.py b/src/python/model_api/models/segmentation.py
index 24d58fb7..727428b6 100644
--- a/src/python/model_api/models/segmentation.py
+++ b/src/python/model_api/models/segmentation.py
@@ -186,7 +186,7 @@ def postprocess(self, outputs: dict, meta: dict) -> ImageResultWithSoftPredictio
     def get_contours(
         self,
         prediction: ImageResultWithSoftPrediction,
-    ) -> list:
+    ) -> list[Contour]:
         n_layers = prediction.soft_prediction.shape[2]
 
         if n_layers == 1:
@@ -207,13 +207,25 @@ def get_contours(
             obj_group = prediction.resultImage == layer_index
             label_index_map = obj_group.astype(np.uint8) * 255
 
-            contours, _hierarchy = cv2.findContours(
+            contours, hierarchy = cv2.findContours(
                 label_index_map,
-                cv2.RETR_EXTERNAL,
+                cv2.RETR_CCOMP,
                 cv2.CHAIN_APPROX_NONE,
             )
+            hierarchy = hierarchy.squeeze()
 
-            for contour in contours:
+            for i, contour in enumerate(contours):
+                children = None
+
+                if hierarchy[i][3] >= 0:
+                    continue
+
+                children = []
+                if hierarchy[i][2] >= 0:
+                    child_next_idx = hierarchy[i][2]
+                    while child_next_idx >= 0:
+                        children.append(contours[child_next_idx])
+                        child_next_idx = hierarchy[child_next_idx][0]
                 mask = np.zeros(prediction.resultImage.shape, dtype=np.uint8)
                 cv2.drawContours(
                     mask,
@@ -223,7 +235,7 @@ def get_contours(
                     thickness=-1,
                 )
                 probability = cv2.mean(current_label_soft_prediction, mask)[0]
-                combined_contours.append(Contour(label, probability, contour))
+                combined_contours.append(Contour(label, probability, contour, children))
 
         return combined_contours
 

From 2304c38ce9d7b253b9afbe430b14c7cc7004327b Mon Sep 17 00:00:00 2001
From: Vladisalv Sovrasov <sovrasov.vlad@gmail.com>
Date: Fri, 25 Jul 2025 20:37:54 +0900
Subject: [PATCH 02/20] Fix logic in case of absence of nested contours

---
 src/python/model_api/models/segmentation.py | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/src/python/model_api/models/segmentation.py b/src/python/model_api/models/segmentation.py
index 727428b6..3b4f13e4 100644
--- a/src/python/model_api/models/segmentation.py
+++ b/src/python/model_api/models/segmentation.py
@@ -215,8 +215,6 @@ def get_contours(
             hierarchy = hierarchy.squeeze()
 
             for i, contour in enumerate(contours):
-                children = None
-
                 if hierarchy[i][3] >= 0:
                     continue
 
@@ -226,6 +224,10 @@ def get_contours(
                     while child_next_idx >= 0:
                         children.append(contours[child_next_idx])
                         child_next_idx = hierarchy[child_next_idx][0]
+                
+                if not children:
+                    children = None
+
                 mask = np.zeros(prediction.resultImage.shape, dtype=np.uint8)
                 cv2.drawContours(
                     mask,

From 2b9b0a464e3413688ec0791cb7109d4233a1489d Mon Sep 17 00:00:00 2001
From: Vladisalv Sovrasov <sovrasov.vlad@gmail.com>
Date: Fri, 25 Jul 2025 21:05:08 +0900
Subject: [PATCH 03/20] Cleanup python impl

---
 src/python/model_api/models/segmentation.py | 9 ++++-----
 1 file changed, 4 insertions(+), 5 deletions(-)

diff --git a/src/python/model_api/models/segmentation.py b/src/python/model_api/models/segmentation.py
index 3b4f13e4..42874af9 100644
--- a/src/python/model_api/models/segmentation.py
+++ b/src/python/model_api/models/segmentation.py
@@ -219,11 +219,10 @@ def get_contours(
                     continue
 
                 children = []
-                if hierarchy[i][2] >= 0:
-                    child_next_idx = hierarchy[i][2]
-                    while child_next_idx >= 0:
-                        children.append(contours[child_next_idx])
-                        child_next_idx = hierarchy[child_next_idx][0]
+                next_child_idx = hierarchy[i][2]
+                while next_child_idx >= 0:
+                    children.append(contours[next_child_idx])
+                    next_child_idx = hierarchy[next_child_idx][0]
                 
                 if not children:
                     children = None

From 93b514d5707ce544e66e5067cedba3b3039ff773 Mon Sep 17 00:00:00 2001
From: Vladisalv Sovrasov <sovrasov.vlad@gmail.com>
Date: Fri, 25 Jul 2025 21:05:41 +0900
Subject: [PATCH 04/20] Add cpp implementation

---
 src/cpp/models/include/models/results.h   |  5 +++--
 src/cpp/models/src/segmentation_model.cpp | 18 +++++++++++++++---
 2 files changed, 18 insertions(+), 5 deletions(-)

diff --git a/src/cpp/models/include/models/results.h b/src/cpp/models/include/models/results.h
index 1a648723..9aadb87b 100644
--- a/src/cpp/models/include/models/results.h
+++ b/src/cpp/models/include/models/results.h
@@ -315,10 +315,11 @@ struct Contour {
     std::string label;
     float probability;
     std::vector<cv::Point> shape;
+    std::vector<std::vector<cv::Point>> child_shapes;
 
     friend std::ostream& operator<<(std::ostream& os, const Contour& contour) {
         return os << contour.label << ": " << std::fixed << std::setprecision(3) << contour.probability << ", "
-                  << contour.shape.size();
+                  << contour.shape.size() << ", " << contour.child_shapes.size();
     }
 };
 
@@ -332,7 +333,7 @@ static inline std::vector<Contour> getContours(const std::vector<SegmentedObject
         if (contours.size() != 1) {
             throw std::runtime_error("findContours() must have returned only one contour");
         }
-        combined_contours.push_back({obj.label, obj.confidence, contours[0]});
+        combined_contours.push_back({obj.label, obj.confidence, contours[0], {}});
     }
     return combined_contours;
 }
diff --git a/src/cpp/models/src/segmentation_model.cpp b/src/cpp/models/src/segmentation_model.cpp
index deea1c87..64a47ef4 100644
--- a/src/cpp/models/src/segmentation_model.cpp
+++ b/src/cpp/models/src/segmentation_model.cpp
@@ -298,17 +298,29 @@ std::vector<Contour> SegmentationModel::getContours(const ImageResultWithSoftPre
                     cv::Scalar(index, index, index),
                     label_index_map);
         std::vector<std::vector<cv::Point>> contours;
-        cv::findContours(label_index_map, contours, cv::RETR_EXTERNAL, cv::CHAIN_APPROX_NONE);
+        std::vector<cv::Vec4i> hierarchy;
+        cv::findContours(label_index_map, contours, hierarchy, cv::RETR_CCOMP, cv::CHAIN_APPROX_NONE);
 
         std::string label = getLabelName(index - 1);
 
-        for (unsigned int i = 0; i < contours.size(); i++) {
+        for (size_t i = 0; i < contours.size(); ++i) {
+            if (hierarchy[i][3] >= 0) {
+                continue;
+            }
+
+            std::vector<std::vector<cv::Point>> children;
+            int next_child_idx = hierarchy[i][2];
+            while (next_child_idx >= 0) {
+                children.push_back(contours[next_child_idx]);
+                next_child_idx = hierarchy[next_child_idx][0];
+            }
+
             cv::Mat mask = cv::Mat::zeros(imageResult.resultImage.rows,
                                           imageResult.resultImage.cols,
                                           imageResult.resultImage.type());
             cv::drawContours(mask, contours, i, 255, -1);
             float probability = (float)cv::mean(current_label_soft_prediction, mask)[0];
-            combined_contours.push_back({label, probability, contours[i]});
+            combined_contours.push_back({label, probability, contours[i], children});
         }
     }
 

From 3726152ac98720fd24c4bc9b0f628df86a85ee16 Mon Sep 17 00:00:00 2001
From: Vladisalv Sovrasov <sovrasov.vlad@gmail.com>
Date: Fri, 25 Jul 2025 21:08:32 +0900
Subject: [PATCH 05/20] Unify contour str reprs

---
 src/python/model_api/models/result/segmentation.py | 6 ++----
 1 file changed, 2 insertions(+), 4 deletions(-)

diff --git a/src/python/model_api/models/result/segmentation.py b/src/python/model_api/models/result/segmentation.py
index 7babc47f..36c15060 100644
--- a/src/python/model_api/models/result/segmentation.py
+++ b/src/python/model_api/models/result/segmentation.py
@@ -156,10 +156,8 @@ def __init__(self, label: str, probability: float, shape: np.ndarray, child_shap
         self.child_shapes = child_shapes
 
     def __str__(self):
-        repr = f"{self.label}: {self.probability:.3f}, {len(self.shape)}"
-        if self.child_shapes is not None:
-            repr += f", {len(self.child_shapes)}"
-        return repr
+        num_children = len(self.child_shapes) if self.child_shapes is not None else 0
+        return f"{self.label}: {self.probability:.3f}, {len(self.shape)}, {num_children}"
 
     def __repr__(self):
         return self.__str__()

From e444834891fcf45cd3b22b2ae9c1cf7e96059c75 Mon Sep 17 00:00:00 2001
From: Vladisalv Sovrasov <sovrasov.vlad@gmail.com>
Date: Fri, 25 Jul 2025 21:24:45 +0900
Subject: [PATCH 06/20] Fix np warning

---
 src/python/model_api/tilers/instance_segmentation.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/python/model_api/tilers/instance_segmentation.py b/src/python/model_api/tilers/instance_segmentation.py
index 13ec4a65..0021532c 100644
--- a/src/python/model_api/tilers/instance_segmentation.py
+++ b/src/python/model_api/tilers/instance_segmentation.py
@@ -123,7 +123,7 @@ def _merge_results(self, results, shape) -> InstanceSegmentationResult:
         labels = labels.astype(np.int32)
         resized_masks, label_names = [], []
         for mask, box, label_idx in zip(masks, bboxes, labels):
-            label_names.append(self.model.labels[int(label_idx)])
+            label_names.append(self.model.labels[int(label_idx.squeeze())])
             resized_masks.append(_segm_postprocess(box, mask, *shape[:-1]))
 
         resized_masks = np.stack(resized_masks) if resized_masks else masks

From 91e5fff145b20ad8cff3fe84aa38dd3ee0d4eea2 Mon Sep 17 00:00:00 2001
From: Vladisalv Sovrasov <sovrasov.vlad@gmail.com>
Date: Fri, 25 Jul 2025 21:25:22 +0900
Subject: [PATCH 07/20] Resolve some of corner-cases

---
 src/python/model_api/models/segmentation.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/src/python/model_api/models/segmentation.py b/src/python/model_api/models/segmentation.py
index 42874af9..b9fe7254 100644
--- a/src/python/model_api/models/segmentation.py
+++ b/src/python/model_api/models/segmentation.py
@@ -212,7 +212,8 @@ def get_contours(
                 cv2.RETR_CCOMP,
                 cv2.CHAIN_APPROX_NONE,
             )
-            hierarchy = hierarchy.squeeze()
+            if len(contours):
+                hierarchy = hierarchy.squeeze(axis=0)
 
             for i, contour in enumerate(contours):
                 if hierarchy[i][3] >= 0:

From 1a2ecf2f42c22cc8d81e449ee26bf3b2a0d2fab0 Mon Sep 17 00:00:00 2001
From: Vladisalv Sovrasov <sovrasov.vlad@gmail.com>
Date: Fri, 25 Jul 2025 21:25:36 +0900
Subject: [PATCH 08/20] Update refs

---
 tests/python/accuracy/public_scope.json | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/tests/python/accuracy/public_scope.json b/tests/python/accuracy/public_scope.json
index f198a02f..567b0839 100644
--- a/tests/python/accuracy/public_scope.json
+++ b/tests/python/accuracy/public_scope.json
@@ -285,7 +285,7 @@
       {
         "image": "coco128/images/train2017/000000000074.jpg",
         "reference": [
-          "0: 1.000, 1: 0.000, [426,640,3], [426,640,3], [1,600,1,1]; backpack: 0.505, 2, "
+          "0: 1.000, 1: 0.000, [426,640,3], [426,640,3], [1,600,1,1]; backpack: 0.505, 2, 0, "
         ]
       }
     ]
@@ -313,7 +313,7 @@
       {
         "image": "coco128/images/train2017/000000000074.jpg",
         "reference": [
-          "1535, 585, 1662, 697, 2 (ellipse): 0.643, 9822, RotatedRect: 1598.500 641.500 111.000 109.000 90.000; 3091, 3097, 3105, 3112, 1 (rectangle): 0.483, 197, RotatedRect: 3097.500 3104.000 14.000 13.000 90.000; 2734, 60, 2867, 324, 1 (rectangle): 0.401, 30622, RotatedRect: 2800.000 188.500 255.000 132.000 90.000; 2; [1,1280,1,1]; ellipse: 0.643, 331; rectangle: 0.483, 48; rectangle: 0.401, 758; "
+          "1535, 585, 1662, 697, 2 (ellipse): 0.643, 9822, RotatedRect: 1598.500 641.500 111.000 109.000 90.000; 3091, 3097, 3105, 3112, 1 (rectangle): 0.483, 197, RotatedRect: 3097.500 3104.000 14.000 13.000 90.000; 2734, 60, 2867, 324, 1 (rectangle): 0.401, 30622, RotatedRect: 2800.000 188.500 255.000 132.000 90.000; 2; [1,1280,1,1]; ellipse: 0.643, 331, 0; rectangle: 0.483, 48, 0; rectangle: 0.401, 758, 0; "
         ]
       }
     ]
@@ -427,7 +427,7 @@
       {
         "image": "coco128/images/train2017/000000000074.jpg",
         "reference": [
-          "0: 0.272, 1: 0.728, [3500,3500,5], [0], [0]; background: 1.404, 311, background: 1.397, 44, background: 1.371, 34, background: 1.377, 12, background: 1.356, 155, background: 1.345, 12, background: 1.183, 219, background: 1.524, 8, background: 1.533, 4, background: 1.519, 2, background: 1.524, 4, background: 1.530, 6, background: 1.537, 2, background: 1.514, 4, background: 1.519, 8, background: 1.529, 6, background: 1.550, 6, background: 1.558, 4, background: 1.520, 2, background: 1.529, 4, background: 1.532, 6, background: 1.535, 6, background: 1.530, 2, background: 1.529, 50, background: 1.528, 22, background: 1.527, 38, background: 1.451, 1476, background: 1.345, 2743, background: 1.609, 2987, background: 1.636, 29909, "
+          "0: 0.272, 1: 0.728, [3500,3500,5], [0], [0]; background: 1.404, 311, 0, background: 1.397, 44, 0, background: 1.371, 34, 0, background: 1.377, 12, 0, background: 1.356, 155, 0, background: 1.345, 12, 0, background: 1.183, 219, 0, background: 1.524, 8, 0, background: 1.533, 4, 0, background: 1.519, 2, 0, background: 1.524, 4, 0, background: 1.530, 6, 0, background: 1.537, 2, 0, background: 1.514, 4, 0, background: 1.519, 8, 0, background: 1.529, 6, 0, background: 1.550, 6, 0, background: 1.558, 4, 0, background: 1.520, 2, 0, background: 1.529, 4, 0, background: 1.532, 6, 0, background: 1.535, 6, 0, background: 1.530, 2, 0, background: 1.529, 50, 0, background: 1.528, 22, 0, background: 1.527, 38, 0, background: 1.451, 1476, 0, background: 1.345, 2743, 9, background: 1.609, 2987, 1, background: 1.398, 20, 0, background: 1.636, 29909, 8, "
         ]
       }
     ]

From dde7416613a60784bdcdb16fd99400e0c34877dc Mon Sep 17 00:00:00 2001
From: Vladisalv Sovrasov <sovrasov.vlad@gmail.com>
Date: Wed, 23 Jul 2025 00:50:52 +0900
Subject: [PATCH 09/20] Update pre-commit config

---
 .pre-commit-config.yaml | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 63f95eaf..ca1cbce0 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -30,8 +30,8 @@ repos:
       - id: mypy
         additional_dependencies: [types-PyYAML, types-setuptools]
 
-  - repo: https://github.com/pre-commit/mirrors-prettier
-    rev: v4.0.0-alpha.8
+  - repo: https://github.com/rbubley/mirrors-prettier
+    rev: v3.6.2
     hooks:
       - id: prettier
 

From 67bfce5821f31265fcb46903e27c1969bfba1852 Mon Sep 17 00:00:00 2001
From: Vladisalv Sovrasov <sovrasov.vlad@gmail.com>
Date: Fri, 25 Jul 2025 21:41:38 +0900
Subject: [PATCH 10/20] Fix numpy issue

---
 src/python/model_api/models/segmentation.py | 3 ---
 1 file changed, 3 deletions(-)

diff --git a/src/python/model_api/models/segmentation.py b/src/python/model_api/models/segmentation.py
index b9fe7254..8fc2c89d 100644
--- a/src/python/model_api/models/segmentation.py
+++ b/src/python/model_api/models/segmentation.py
@@ -224,9 +224,6 @@ def get_contours(
                 while next_child_idx >= 0:
                     children.append(contours[next_child_idx])
                     next_child_idx = hierarchy[next_child_idx][0]
-                
-                if not children:
-                    children = None
 
                 mask = np.zeros(prediction.resultImage.shape, dtype=np.uint8)
                 cv2.drawContours(

From 3510428709792ad7853a20c904f62ad3e9aa14c7 Mon Sep 17 00:00:00 2001
From: Vladisalv Sovrasov <sovrasov.vlad@gmail.com>
Date: Tue, 29 Jul 2025 00:58:40 +0900
Subject: [PATCH 11/20] Update ref tests results

---
 tests/python/accuracy/public_scope.json | 20 ++++++++++----------
 1 file changed, 10 insertions(+), 10 deletions(-)

diff --git a/tests/python/accuracy/public_scope.json b/tests/python/accuracy/public_scope.json
index 567b0839..2d8db8ad 100644
--- a/tests/python/accuracy/public_scope.json
+++ b/tests/python/accuracy/public_scope.json
@@ -6,7 +6,7 @@
       {
         "image": "coco128/images/train2017/000000000074.jpg",
         "reference": [
-          "0: 0.537, 1: 0.463, [426,640,2], [0], [0]; object: 0.675, 508, object: 0.527, 65, object: 0.507, 18, object: 0.624, 144, object: 0.538, 67, object: 0.507, 15, object: 0.518, 41, object: 0.507, 8, object: 0.505, 14, object: 0.885, 2138, "
+          "0: 0.537, 1: 0.463, [426,640,2], [0], [0]; object: 0.675, 508, 0, object: 0.527, 65, 1, object: 0.507, 18, 0, object: 0.624, 144, 0, object: 0.538, 67, 0, object: 0.507, 15, 0, object: 0.518, 41, 0, object: 0.507, 8, 0, object: 0.505, 14, 0, object: 0.885, 2138, 2, "
         ]
       }
     ]
@@ -18,7 +18,7 @@
       {
         "image": "coco128/images/train2017/000000000074.jpg",
         "reference": [
-          "0: 0.992, 1: 0.008, [426,640,2], [0], [0]; object: 0.555, 112, object: 0.506, 17, object: 0.555, 154, object: 0.511, 19, object: 0.514, 52, "
+          "0: 0.992, 1: 0.008, [426,640,2], [0], [0]; object: 0.555, 112, 0, object: 0.506, 17, 0, object: 0.555, 154, 0, object: 0.511, 19, 0, object: 0.514, 52, 0, "
         ]
       }
     ]
@@ -30,7 +30,7 @@
       {
         "image": "coco128/images/train2017/000000000074.jpg",
         "reference": [
-          "0: 0.563, 1: 0.437, [426,640,2], [0], [0]; object: 0.520, 26, object: 0.530, 42, object: 0.501, 4, object: 0.507, 27, object: 0.503, 8, object: 0.502, 6, object: 0.505, 18, object: 0.504, 13, object: 0.524, 87, object: 0.521, 89, object: 0.757, 2706, "
+          "0: 0.563, 1: 0.437, [426,640,2], [0], [0]; object: 0.520, 26, 0, object: 0.530, 42, 0, object: 0.501, 4, 0, object: 0.507, 27, 0, object: 0.503, 8, 0, object: 0.502, 6, 0, object: 0.505, 18, 0, object: 0.504, 13, 0, object: 0.524, 87, 0, object: 0.521, 89, 0, object: 0.757, 2706, 2, "
         ]
       }
     ]
@@ -42,7 +42,7 @@
       {
         "image": "coco128/images/train2017/000000000074.jpg",
         "reference": [
-          "0: 0.563, 1: 0.437, [426,640,2], [0], [0]; object: 0.520, 26, object: 0.530, 42, object: 0.501, 4, object: 0.507, 27, object: 0.503, 8, object: 0.502, 6, object: 0.505, 18, object: 0.504, 13, object: 0.524, 87, object: 0.521, 89, object: 0.757, 2706, "
+          "0: 0.563, 1: 0.437, [426,640,2], [0], [0]; object: 0.520, 26, 0, object: 0.530, 42, 0, object: 0.501, 4, 0, object: 0.507, 27, 0, object: 0.503, 8, 0, object: 0.502, 6, 0, object: 0.505, 18, 0, object: 0.504, 13, 0, object: 0.524, 87, 0, object: 0.521, 89, 0, object: 0.757, 2706, 2, "
         ]
       }
     ]
@@ -55,7 +55,7 @@
       {
         "image": "coco128/images/train2017/000000000074.jpg",
         "reference": [
-          "0: 0.561, 1: 0.439, [426,640,2], [0], [0]; object: 0.519, 26, object: 0.531, 42, object: 0.502, 21, object: 0.505, 9, object: 0.501, 4, object: 0.509, 22, object: 0.524, 85, object: 0.520, 93, object: 0.754, 2564, "
+          "0: 0.561, 1: 0.439, [426,640,2], [0], [0]; object: 0.519, 26, 0, object: 0.531, 42, 0, object: 0.502, 21, 0, object: 0.505, 9, 0, object: 0.501, 4, 0, object: 0.509, 22, 0, object: 0.524, 85, 0, object: 0.520, 93, 0, object: 0.754, 2564, 3, "
         ]
       }
     ]
@@ -67,7 +67,7 @@
       {
         "image": "coco128/images/train2017/000000000074.jpg",
         "reference": [
-          "0: 0.944, 1: 0.056, [426,640,2], [0], [0]; object: 0.505, 2, object: 0.518, 8, object: 0.512, 5, object: 0.506, 4, object: 0.526, 8, object: 0.529, 21, object: 0.513, 12, object: 0.535, 49, object: 0.505, 2, object: 0.512, 4, object: 0.547, 6, object: 0.511, 6, object: 0.503, 1, object: 0.539, 6, object: 0.543, 39, object: 0.529, 2, object: 0.516, 9, object: 0.565, 157, object: 0.524, 6, object: 0.528, 15, object: 0.521, 18, object: 0.502, 1, object: 0.537, 73, object: 0.513, 4, object: 0.524, 27, object: 0.513, 6, object: 0.538, 65, object: 0.501, 6, object: 0.504, 1, object: 0.507, 4, object: 0.502, 1, object: 0.518, 8, object: 0.530, 11, object: 0.502, 2, object: 0.516, 2, object: 0.506, 1, object: 0.567, 17, object: 0.502, 1, object: 0.512, 7, object: 0.538, 24, object: 0.507, 1, object: 0.534, 12, object: 0.537, 6, object: 0.519, 13, object: 0.505, 2, object: 0.517, 16, object: 0.505, 5, object: 0.506, 20, object: 0.508, 6, object: 0.519, 24, object: 0.507, 4, object: 0.506, 2, object: 0.511, 4, object: 0.556, 47, object: 0.510, 10, object: 0.500, 1, object: 0.504, 5, object: 0.501, 1, object: 0.510, 6, object: 0.549, 13, object: 0.509, 2, object: 0.510, 3, object: 0.514, 1, object: 0.529, 15, object: 0.551, 110, object: 0.504, 2, object: 0.503, 3, object: 0.518, 16, object: 0.511, 14, object: 0.502, 1, object: 0.523, 1, object: 0.533, 16, object: 0.568, 66, object: 0.582, 1793, "
+          "0: 0.944, 1: 0.056, [426,640,2], [0], [0]; object: 0.505, 2, 0, object: 0.518, 8, 0, object: 0.512, 5, 0, object: 0.506, 4, 0, object: 0.526, 8, 0, object: 0.529, 21, 0, object: 0.513, 12, 0, object: 0.536, 49, 0, object: 0.505, 2, 0, object: 0.512, 4, 0, object: 0.547, 6, 0, object: 0.511, 6, 0, object: 0.503, 1, 0, object: 0.539, 6, 0, object: 0.543, 39, 0, object: 0.529, 2, 0, object: 0.516, 9, 0, object: 0.565, 157, 4, object: 0.524, 6, 0, object: 0.528, 15, 0, object: 0.521, 18, 0, object: 0.503, 1, 0, object: 0.537, 73, 0, object: 0.513, 4, 0, object: 0.524, 27, 0, object: 0.513, 6, 0, object: 0.538, 65, 1, object: 0.501, 6, 0, object: 0.504, 1, 0, object: 0.507, 4, 0, object: 0.502, 1, 0, object: 0.518, 8, 0, object: 0.530, 11, 0, object: 0.502, 2, 0, object: 0.516, 2, 0, object: 0.506, 1, 0, object: 0.567, 17, 0, object: 0.502, 1, 0, object: 0.512, 7, 0, object: 0.538, 24, 0, object: 0.507, 1, 0, object: 0.534, 12, 0, object: 0.510, 5, 0, object: 0.537, 6, 0, object: 0.519, 13, 0, object: 0.505, 2, 0, object: 0.540, 6, 0, object: 0.517, 16, 0, object: 0.505, 5, 0, object: 0.506, 20, 0, object: 0.508, 6, 0, object: 0.519, 24, 0, object: 0.507, 4, 0, object: 0.506, 2, 0, object: 0.511, 4, 0, object: 0.556, 47, 0, object: 0.510, 10, 0, object: 0.500, 1, 0, object: 0.504, 5, 0, object: 0.501, 1, 0, object: 0.510, 6, 0, object: 0.549, 13, 0, object: 0.509, 2, 0, object: 0.510, 3, 0, object: 0.514, 1, 0, object: 0.529, 15, 0, object: 0.551, 110, 1, object: 0.504, 2, 0, object: 0.503, 3, 0, object: 0.518, 16, 0, object: 0.511, 14, 0, object: 0.502, 1, 0, object: 0.523, 1, 0, object: 0.533, 16, 0, object: 0.568, 65, 0, object: 0.582, 1793, 73, "
         ]
       }
     ]
@@ -214,7 +214,7 @@
       {
         "image": "coco128/images/train2017/000000000074.jpg",
         "reference": [
-          "458, 106, 495, 150, 1 (bicycle): 0.818, 852, RotatedRect: 478.119 130.332 28.677 46.408 46.637; 0, 30, 178, 323, 2 (car): 0.753, 26728, RotatedRect: 79.739 177.262 251.785 156.656 87.397; 0; [0]; bicycle: 0.818, 139; car: 0.753, 622; "
+          "458, 106, 495, 150, 1 (bicycle): 0.818, 852, RotatedRect: 478.119 130.332 28.677 46.408 46.637; 0, 30, 178, 323, 2 (car): 0.753, 26728, RotatedRect: 79.739 177.262 251.785 156.656 87.397; 0; [0]; bicycle: 0.818, 139, 0; car: 0.753, 622, 0; "
         ]
       }
     ]
@@ -226,7 +226,7 @@
       {
         "image": "coco128/images/train2017/000000000074.jpg",
         "reference": [
-          "458, 106, 495, 150, 1 (person): 0.818, 852, RotatedRect: 478.119 130.332 28.677 46.408 46.637; 0, 30, 178, 323, 2 (bicycle): 0.753, 26728, RotatedRect: 79.739 177.262 251.785 156.656 87.397; 0; [0]; person: 0.818, 139; bicycle: 0.753, 622; "
+          "458, 106, 495, 150, 1 (person): 0.818, 852, RotatedRect: 478.119 130.332 28.677 46.408 46.637; 0, 30, 178, 323, 2 (bicycle): 0.753, 26728, RotatedRect: 79.739 177.262 251.785 156.656 87.397; 0; [0]; person: 0.818, 139, 0; bicycle: 0.753, 622, 0; "
         ]
       }
     ]
@@ -239,7 +239,7 @@
       {
         "image": "coco128/images/train2017/000000000074.jpg",
         "reference": [
-          "458, 106, 495, 150, 1 (person): 0.816, 851, RotatedRect: 478.119 130.332 28.677 46.408 46.637; 0, 30, 178, 323, 2 (bicycle): 0.754, 26748, RotatedRect: 79.762 177.261 251.785 156.702 87.397; 0; [0]; person: 0.816, 142; bicycle: 0.754, 622; "
+          "458, 106, 495, 150, 1 (person): 0.816, 851, RotatedRect: 478.119 130.332 28.677 46.408 46.637; 0, 30, 178, 323, 2 (bicycle): 0.754, 26748, RotatedRect: 79.762 177.261 251.785 156.702 87.397; 0; [0]; person: 0.816, 142, 0; bicycle: 0.754, 622, 0; "
         ]
       }
     ]
@@ -251,7 +251,7 @@
       {
         "image": "coco128/images/train2017/000000000074.jpg",
         "reference": [
-          "59, 277, 360, 380, 16 (horse): 0.999, 19053, RotatedRect: 210.000 327.500 101.000 296.000 90.000; 2, 9, 162, 318, 2 (car): 0.999, 31153, RotatedRect: 82.086 163.312 307.394 156.997 89.669; 294, 94, 316, 153, 1 (bicycle): 0.985, 840, RotatedRect: 305.000 123.500 59.000 18.000 90.000; 326, 97, 341, 136, 1 (bicycle): 0.974, 397, RotatedRect: 332.500 116.000 38.000 13.000 90.000; 461, 105, 493, 150, 1 (bicycle): 0.918, 846, RotatedRect: 476.052 126.972 27.619 47.834 16.928; 350, 92, 386, 149, 1 (bicycle): 0.807, 1458, RotatedRect: 369.319 119.891 54.848 34.230 82.405; 279, 110, 291, 146, 1 (bicycle): 0.788, 312, RotatedRect: 284.000 127.500 35.000 10.000 90.000; 0; [0]; horse: 0.999, 668; car: 0.999, 782; bicycle: 0.985, 127; bicycle: 0.974, 87; bicycle: 0.918, 122; bicycle: 0.807, 140; bicycle: 0.788, 79; "
+          "59, 277, 360, 380, 16 (horse): 0.999, 19053, RotatedRect: 210.000 327.500 101.000 296.000 90.000; 2, 9, 162, 318, 2 (car): 0.999, 31153, RotatedRect: 82.086 163.312 307.394 156.997 89.669; 294, 94, 316, 153, 1 (bicycle): 0.985, 840, RotatedRect: 305.000 123.500 59.000 18.000 90.000; 326, 97, 341, 136, 1 (bicycle): 0.974, 397, RotatedRect: 332.500 116.000 38.000 13.000 90.000; 461, 105, 493, 150, 1 (bicycle): 0.918, 846, RotatedRect: 476.052 126.972 27.619 47.834 16.928; 350, 92, 386, 149, 1 (bicycle): 0.807, 1458, RotatedRect: 369.319 119.891 54.848 34.230 82.405; 279, 110, 291, 146, 1 (bicycle): 0.788, 312, RotatedRect: 284.000 127.500 35.000 10.000 90.000; 0; [0]; horse: 0.999, 668, 0; car: 0.999, 782, 0; bicycle: 0.985, 127, 0; bicycle: 0.974, 87, 0; bicycle: 0.918, 122, 0; bicycle: 0.807, 140, 0; bicycle: 0.788, 79, 0; "
         ]
       }
     ]

From cc6e3cf12df80bc182f5b884e91fa504e83630a4 Mon Sep 17 00:00:00 2001
From: Vladisalv Sovrasov <sovrasov.vlad@gmail.com>
Date: Tue, 29 Jul 2025 01:00:18 +0900
Subject: [PATCH 12/20] Retain old data type for Contour init args

---
 src/python/model_api/models/result/segmentation.py | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

diff --git a/src/python/model_api/models/result/segmentation.py b/src/python/model_api/models/result/segmentation.py
index 36c15060..68428d73 100644
--- a/src/python/model_api/models/result/segmentation.py
+++ b/src/python/model_api/models/result/segmentation.py
@@ -149,7 +149,13 @@ def rotated_rects(self, value):
 
 
 class Contour:
-    def __init__(self, label: str, probability: float, shape: np.ndarray, child_shapes: list[np.ndarray] | None = None):
+    def __init__(
+        self,
+        label: str,
+        probability: float,
+        shape: np.ndarray | list[tuple[int, int]],
+        child_shapes: list[np.ndarray] | list[tuple[int, int]] | None = None,
+    ):
         self.shape = shape
         self.label = label
         self.probability = probability

From 7d03560c145d9681a880864cb70083b96df2e16a Mon Sep 17 00:00:00 2001
From: Vladisalv Sovrasov <sovrasov.vlad@gmail.com>
Date: Tue, 29 Jul 2025 01:06:16 +0900
Subject: [PATCH 13/20] Exclude nested contours from contour confidence
 calculation

---
 src/python/model_api/models/segmentation.py | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/src/python/model_api/models/segmentation.py b/src/python/model_api/models/segmentation.py
index 8fc2c89d..4d4faceb 100644
--- a/src/python/model_api/models/segmentation.py
+++ b/src/python/model_api/models/segmentation.py
@@ -233,6 +233,14 @@ def get_contours(
                     color=1,
                     thickness=-1,
                 )
+                for c in children:
+                    cv2.drawContours(
+                        mask,
+                        np.asarray([c]),
+                        contourIdx=-1,
+                        color=0,
+                        thickness=-1,
+                    )
                 probability = cv2.mean(current_label_soft_prediction, mask)[0]
                 combined_contours.append(Contour(label, probability, contour, children))
 

From 17f364df3b6c0b00a7f08b0d5ba323d67f09a4a2 Mon Sep 17 00:00:00 2001
From: Vladisalv Sovrasov <sovrasov.vlad@gmail.com>
Date: Tue, 29 Jul 2025 01:21:42 +0900
Subject: [PATCH 14/20] Exclude nested contours from prob computation

---
 src/cpp/models/src/segmentation_model.cpp        | 10 ++++++----
 .../model_api/models/result/segmentation.py      |  8 ++++++++
 src/python/model_api/models/segmentation.py      | 16 ++++++++--------
 tests/python/accuracy/public_scope.json          |  8 ++++----
 4 files changed, 26 insertions(+), 16 deletions(-)

diff --git a/src/cpp/models/src/segmentation_model.cpp b/src/cpp/models/src/segmentation_model.cpp
index 64a47ef4..b80d1961 100644
--- a/src/cpp/models/src/segmentation_model.cpp
+++ b/src/cpp/models/src/segmentation_model.cpp
@@ -308,17 +308,19 @@ std::vector<Contour> SegmentationModel::getContours(const ImageResultWithSoftPre
                 continue;
             }
 
+            cv::Mat mask = cv::Mat::zeros(imageResult.resultImage.rows,
+                                          imageResult.resultImage.cols,
+                                          imageResult.resultImage.type());
+            cv::drawContours(mask, contours, i, 255, -1);
+
             std::vector<std::vector<cv::Point>> children;
             int next_child_idx = hierarchy[i][2];
             while (next_child_idx >= 0) {
                 children.push_back(contours[next_child_idx]);
+                cv::drawContours(mask, contours, next_child_idx, 0, -1);
                 next_child_idx = hierarchy[next_child_idx][0];
             }
 
-            cv::Mat mask = cv::Mat::zeros(imageResult.resultImage.rows,
-                                          imageResult.resultImage.cols,
-                                          imageResult.resultImage.type());
-            cv::drawContours(mask, contours, i, 255, -1);
             float probability = (float)cv::mean(current_label_soft_prediction, mask)[0];
             combined_contours.push_back({label, probability, contours[i], children});
         }
diff --git a/src/python/model_api/models/result/segmentation.py b/src/python/model_api/models/result/segmentation.py
index 68428d73..603ab904 100644
--- a/src/python/model_api/models/result/segmentation.py
+++ b/src/python/model_api/models/result/segmentation.py
@@ -149,6 +149,14 @@ def rotated_rects(self, value):
 
 
 class Contour:
+    """Represents a contour object with label, probability, shape, and optional excluded shapes.
+    Args:
+        label (str): The label of the contour.
+        probability (float): The probability associated with the contour.
+        shape (np.ndarray | list[tuple[int, int]]): The shape of the contour.
+        child_shapes (list[np.ndarray] | list[tuple[int, int]] | None, optional): Shapes of excluded contours. Defaults to None.
+    """
+
     def __init__(
         self,
         label: str,
diff --git a/src/python/model_api/models/segmentation.py b/src/python/model_api/models/segmentation.py
index 4d4faceb..3baba8a8 100644
--- a/src/python/model_api/models/segmentation.py
+++ b/src/python/model_api/models/segmentation.py
@@ -219,12 +219,6 @@ def get_contours(
                 if hierarchy[i][3] >= 0:
                     continue
 
-                children = []
-                next_child_idx = hierarchy[i][2]
-                while next_child_idx >= 0:
-                    children.append(contours[next_child_idx])
-                    next_child_idx = hierarchy[next_child_idx][0]
-
                 mask = np.zeros(prediction.resultImage.shape, dtype=np.uint8)
                 cv2.drawContours(
                     mask,
@@ -233,14 +227,20 @@ def get_contours(
                     color=1,
                     thickness=-1,
                 )
-                for c in children:
+
+                children = []
+                next_child_idx = hierarchy[i][2]
+                while next_child_idx >= 0:
+                    children.append(contours[next_child_idx])
                     cv2.drawContours(
                         mask,
-                        np.asarray([c]),
+                        np.asarray([contours[next_child_idx]]),
                         contourIdx=-1,
                         color=0,
                         thickness=-1,
                     )
+                    next_child_idx = hierarchy[next_child_idx][0]
+
                 probability = cv2.mean(current_label_soft_prediction, mask)[0]
                 combined_contours.append(Contour(label, probability, contour, children))
 
diff --git a/tests/python/accuracy/public_scope.json b/tests/python/accuracy/public_scope.json
index 2d8db8ad..31afc17f 100644
--- a/tests/python/accuracy/public_scope.json
+++ b/tests/python/accuracy/public_scope.json
@@ -6,7 +6,7 @@
       {
         "image": "coco128/images/train2017/000000000074.jpg",
         "reference": [
-          "0: 0.537, 1: 0.463, [426,640,2], [0], [0]; object: 0.675, 508, 0, object: 0.527, 65, 1, object: 0.507, 18, 0, object: 0.624, 144, 0, object: 0.538, 67, 0, object: 0.507, 15, 0, object: 0.518, 41, 0, object: 0.507, 8, 0, object: 0.505, 14, 0, object: 0.885, 2138, 2, "
+          "0: 0.537, 1: 0.463, [426,640,2], [0], [0]; object: 0.675, 508, 0, object: 0.530, 65, 1, object: 0.507, 18, 0, object: 0.624, 144, 0, object: 0.538, 67, 0, object: 0.507, 15, 0, object: 0.518, 41, 0, object: 0.507, 8, 0, object: 0.505, 14, 0, object: 0.885, 2138, 2, "
         ]
       }
     ]
@@ -55,7 +55,7 @@
       {
         "image": "coco128/images/train2017/000000000074.jpg",
         "reference": [
-          "0: 0.561, 1: 0.439, [426,640,2], [0], [0]; object: 0.519, 26, 0, object: 0.531, 42, 0, object: 0.502, 21, 0, object: 0.505, 9, 0, object: 0.501, 4, 0, object: 0.509, 22, 0, object: 0.524, 85, 0, object: 0.520, 93, 0, object: 0.754, 2564, 3, "
+          "0: 0.561, 1: 0.439, [426,640,2], [0], [0]; object: 0.519, 26, 0, object: 0.531, 42, 0, object: 0.502, 21, 0, object: 0.505, 9, 0, object: 0.501, 4, 0, object: 0.509, 22, 0, object: 0.524, 85, 0, object: 0.520, 93, 0, object: 0.757, 2564, 3, "
         ]
       }
     ]
@@ -67,7 +67,7 @@
       {
         "image": "coco128/images/train2017/000000000074.jpg",
         "reference": [
-          "0: 0.944, 1: 0.056, [426,640,2], [0], [0]; object: 0.505, 2, 0, object: 0.518, 8, 0, object: 0.512, 5, 0, object: 0.506, 4, 0, object: 0.526, 8, 0, object: 0.529, 21, 0, object: 0.513, 12, 0, object: 0.536, 49, 0, object: 0.505, 2, 0, object: 0.512, 4, 0, object: 0.547, 6, 0, object: 0.511, 6, 0, object: 0.503, 1, 0, object: 0.539, 6, 0, object: 0.543, 39, 0, object: 0.529, 2, 0, object: 0.516, 9, 0, object: 0.565, 157, 4, object: 0.524, 6, 0, object: 0.528, 15, 0, object: 0.521, 18, 0, object: 0.503, 1, 0, object: 0.537, 73, 0, object: 0.513, 4, 0, object: 0.524, 27, 0, object: 0.513, 6, 0, object: 0.538, 65, 1, object: 0.501, 6, 0, object: 0.504, 1, 0, object: 0.507, 4, 0, object: 0.502, 1, 0, object: 0.518, 8, 0, object: 0.530, 11, 0, object: 0.502, 2, 0, object: 0.516, 2, 0, object: 0.506, 1, 0, object: 0.567, 17, 0, object: 0.502, 1, 0, object: 0.512, 7, 0, object: 0.538, 24, 0, object: 0.507, 1, 0, object: 0.534, 12, 0, object: 0.510, 5, 0, object: 0.537, 6, 0, object: 0.519, 13, 0, object: 0.505, 2, 0, object: 0.540, 6, 0, object: 0.517, 16, 0, object: 0.505, 5, 0, object: 0.506, 20, 0, object: 0.508, 6, 0, object: 0.519, 24, 0, object: 0.507, 4, 0, object: 0.506, 2, 0, object: 0.511, 4, 0, object: 0.556, 47, 0, object: 0.510, 10, 0, object: 0.500, 1, 0, object: 0.504, 5, 0, object: 0.501, 1, 0, object: 0.510, 6, 0, object: 0.549, 13, 0, object: 0.509, 2, 0, object: 0.510, 3, 0, object: 0.514, 1, 0, object: 0.529, 15, 0, object: 0.551, 110, 1, object: 0.504, 2, 0, object: 0.503, 3, 0, object: 0.518, 16, 0, object: 0.511, 14, 0, object: 0.502, 1, 0, object: 0.523, 1, 0, object: 0.533, 16, 0, object: 0.568, 65, 0, object: 0.582, 1793, 73, "
+          "0: 0.944, 1: 0.056, [426,640,2], [0], [0]; object: 0.505, 2, 0, object: 0.518, 8, 0, object: 0.512, 5, 0, object: 0.506, 4, 0, object: 0.526, 8, 0, object: 0.529, 21, 0, object: 0.513, 12, 0, object: 0.536, 49, 0, object: 0.505, 2, 0, object: 0.512, 4, 0, object: 0.547, 6, 0, object: 0.511, 6, 0, object: 0.503, 1, 0, object: 0.539, 6, 0, object: 0.543, 39, 0, object: 0.529, 2, 0, object: 0.516, 9, 0, object: 0.571, 157, 4, object: 0.524, 6, 0, object: 0.528, 15, 0, object: 0.521, 18, 0, object: 0.503, 1, 0, object: 0.537, 73, 0, object: 0.513, 4, 0, object: 0.524, 27, 0, object: 0.513, 6, 0, object: 0.539, 65, 1, object: 0.501, 6, 0, object: 0.504, 1, 0, object: 0.507, 4, 0, object: 0.502, 1, 0, object: 0.518, 8, 0, object: 0.530, 11, 0, object: 0.502, 2, 0, object: 0.516, 2, 0, object: 0.506, 1, 0, object: 0.567, 17, 0, object: 0.502, 1, 0, object: 0.512, 7, 0, object: 0.538, 24, 0, object: 0.507, 1, 0, object: 0.534, 12, 0, object: 0.510, 5, 0, object: 0.537, 6, 0, object: 0.519, 13, 0, object: 0.505, 2, 0, object: 0.540, 6, 0, object: 0.517, 16, 0, object: 0.505, 5, 0, object: 0.506, 20, 0, object: 0.508, 6, 0, object: 0.519, 24, 0, object: 0.507, 4, 0, object: 0.506, 2, 0, object: 0.511, 4, 0, object: 0.556, 47, 0, object: 0.510, 10, 0, object: 0.500, 1, 0, object: 0.504, 5, 0, object: 0.501, 1, 0, object: 0.510, 6, 0, object: 0.549, 13, 0, object: 0.509, 2, 0, object: 0.510, 3, 0, object: 0.514, 1, 0, object: 0.529, 15, 0, object: 0.554, 110, 1, object: 0.504, 2, 0, object: 0.503, 3, 0, object: 0.518, 16, 0, object: 0.511, 14, 0, object: 0.502, 1, 0, object: 0.523, 1, 0, object: 0.533, 16, 0, object: 0.568, 65, 0, object: 0.603, 1793, 73, "
         ]
       }
     ]
@@ -427,7 +427,7 @@
       {
         "image": "coco128/images/train2017/000000000074.jpg",
         "reference": [
-          "0: 0.272, 1: 0.728, [3500,3500,5], [0], [0]; background: 1.404, 311, 0, background: 1.397, 44, 0, background: 1.371, 34, 0, background: 1.377, 12, 0, background: 1.356, 155, 0, background: 1.345, 12, 0, background: 1.183, 219, 0, background: 1.524, 8, 0, background: 1.533, 4, 0, background: 1.519, 2, 0, background: 1.524, 4, 0, background: 1.530, 6, 0, background: 1.537, 2, 0, background: 1.514, 4, 0, background: 1.519, 8, 0, background: 1.529, 6, 0, background: 1.550, 6, 0, background: 1.558, 4, 0, background: 1.520, 2, 0, background: 1.529, 4, 0, background: 1.532, 6, 0, background: 1.535, 6, 0, background: 1.530, 2, 0, background: 1.529, 50, 0, background: 1.528, 22, 0, background: 1.527, 38, 0, background: 1.451, 1476, 0, background: 1.345, 2743, 9, background: 1.609, 2987, 1, background: 1.398, 20, 0, background: 1.636, 29909, 8, "
+          "0: 0.272, 1: 0.728, [3500,3500,5], [0], [0]; background: 1.404, 311, 0, background: 1.397, 44, 0, background: 1.371, 34, 0, background: 1.377, 12, 0, background: 1.356, 155, 0, background: 1.345, 12, 0, background: 1.183, 219, 0, background: 1.524, 8, 0, background: 1.533, 4, 0, background: 1.519, 2, 0, background: 1.524, 4, 0, background: 1.530, 6, 0, background: 1.537, 2, 0, background: 1.514, 4, 0, background: 1.519, 8, 0, background: 1.529, 6, 0, background: 1.550, 6, 0, background: 1.558, 4, 0, background: 1.520, 2, 0, background: 1.529, 4, 0, background: 1.532, 6, 0, background: 1.535, 6, 0, background: 1.530, 2, 0, background: 1.529, 50, 0, background: 1.528, 22, 0, background: 1.527, 38, 0, background: 1.451, 1476, 0, background: 1.344, 2743, 9, background: 1.609, 2987, 1, background: 1.398, 20, 0, background: 1.644, 29909, 8, "
         ]
       }
     ]

From c7124a4237e8f430c77472db927350de8dca4d70 Mon Sep 17 00:00:00 2001
From: Vladisalv Sovrasov <sovrasov.vlad@gmail.com>
Date: Tue, 29 Jul 2025 01:44:05 +0900
Subject: [PATCH 15/20] Rename child_shapes for clarity

---
 src/cpp/models/include/models/results.h           |  4 ++--
 .../model_api/models/result/segmentation.py       | 15 +++++++++------
 2 files changed, 11 insertions(+), 8 deletions(-)

diff --git a/src/cpp/models/include/models/results.h b/src/cpp/models/include/models/results.h
index 9aadb87b..24f662fa 100644
--- a/src/cpp/models/include/models/results.h
+++ b/src/cpp/models/include/models/results.h
@@ -315,11 +315,11 @@ struct Contour {
     std::string label;
     float probability;
     std::vector<cv::Point> shape;
-    std::vector<std::vector<cv::Point>> child_shapes;
+    std::vector<std::vector<cv::Point>> excluded_shapes;
 
     friend std::ostream& operator<<(std::ostream& os, const Contour& contour) {
         return os << contour.label << ": " << std::fixed << std::setprecision(3) << contour.probability << ", "
-                  << contour.shape.size() << ", " << contour.child_shapes.size();
+                  << contour.shape.size() << ", " << contour.excluded_shapes.size();
     }
 };
 
diff --git a/src/python/model_api/models/result/segmentation.py b/src/python/model_api/models/result/segmentation.py
index 603ab904..a5144bd3 100644
--- a/src/python/model_api/models/result/segmentation.py
+++ b/src/python/model_api/models/result/segmentation.py
@@ -149,12 +149,15 @@ def rotated_rects(self, value):
 
 
 class Contour:
-    """Represents a contour object with label, probability, shape, and optional excluded shapes.
+    """Represents a semantic segmentation mask as internals of a contour with "holes".
     Args:
         label (str): The label of the contour.
         probability (float): The probability associated with the contour.
-        shape (np.ndarray | list[tuple[int, int]]): The shape of the contour.
-        child_shapes (list[np.ndarray] | list[tuple[int, int]] | None, optional): Shapes of excluded contours. Defaults to None.
+        shape (np.ndarray | list[tuple[int, int]]): The shape of the contour. Shape is represented as a
+            list of 2d points or an equivalent numpy array (N, 2).
+        excluded_shapes (list[np.ndarray] | list[tuple[int, int]] | None, optional): Shapes of excluded contours.
+            If empty, the main shape is simply connected. Otherwise, excluded_shapes
+            represent "holes". Defaults to None.
     """
 
     def __init__(
@@ -162,15 +165,15 @@ def __init__(
         label: str,
         probability: float,
         shape: np.ndarray | list[tuple[int, int]],
-        child_shapes: list[np.ndarray] | list[tuple[int, int]] | None = None,
+        excluded_shapes: list[np.ndarray] | list[tuple[int, int]] | None = None,
     ):
         self.shape = shape
         self.label = label
         self.probability = probability
-        self.child_shapes = child_shapes
+        self.excluded_shapes = excluded_shapes
 
     def __str__(self):
-        num_children = len(self.child_shapes) if self.child_shapes is not None else 0
+        num_children = len(self.excluded_shapes) if self.excluded_shapes is not None else 0
         return f"{self.label}: {self.probability:.3f}, {len(self.shape)}, {num_children}"
 
     def __repr__(self):

From 77320a8a95dd0d2bab3567abd9e775a01173455c Mon Sep 17 00:00:00 2001
From: Vladisalv Sovrasov <sovrasov.vlad@gmail.com>
Date: Tue, 29 Jul 2025 01:50:47 +0900
Subject: [PATCH 16/20] Unify calls of drawContours

---
 src/python/model_api/models/segmentation.py | 16 ++--------------
 1 file changed, 2 insertions(+), 14 deletions(-)

diff --git a/src/python/model_api/models/segmentation.py b/src/python/model_api/models/segmentation.py
index 3baba8a8..bbafae95 100644
--- a/src/python/model_api/models/segmentation.py
+++ b/src/python/model_api/models/segmentation.py
@@ -220,25 +220,13 @@ def get_contours(
                     continue
 
                 mask = np.zeros(prediction.resultImage.shape, dtype=np.uint8)
-                cv2.drawContours(
-                    mask,
-                    np.asarray([contour]),
-                    contourIdx=-1,
-                    color=1,
-                    thickness=-1,
-                )
+                cv2.drawContours(mask, contours, contourIdx=i, color=1, thickness=-1)
 
                 children = []
                 next_child_idx = hierarchy[i][2]
                 while next_child_idx >= 0:
                     children.append(contours[next_child_idx])
-                    cv2.drawContours(
-                        mask,
-                        np.asarray([contours[next_child_idx]]),
-                        contourIdx=-1,
-                        color=0,
-                        thickness=-1,
-                    )
+                    cv2.drawContours(mask, contours, contourIdx=next_child_idx, color=0, thickness=-1)
                     next_child_idx = hierarchy[next_child_idx][0]
 
                 probability = cv2.mean(current_label_soft_prediction, mask)[0]

From 8094ff5b9c90c4e58b6ae0a1f60cd836c1f86381 Mon Sep 17 00:00:00 2001
From: Vladisalv Sovrasov <sovrasov.vlad@gmail.com>
Date: Tue, 29 Jul 2025 03:17:12 +0900
Subject: [PATCH 17/20] Tests debug

---
 .github/workflows/test_accuracy.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/test_accuracy.yml b/.github/workflows/test_accuracy.yml
index 74f16cee..b65af1ca 100644
--- a/.github/workflows/test_accuracy.yml
+++ b/.github/workflows/test_accuracy.yml
@@ -35,7 +35,7 @@ jobs:
       - name: Run Python Test
         run: |
           source venv/bin/activate
-          pytest --data=./data tests/python/accuracy/test_accuracy.py
+          pytest -v --data=./data tests/python/accuracy/test_accuracy.py
       - name: Install CPP dependencies
         run: |
           sudo bash src/cpp/install_dependencies.sh

From ca6568e3476f91b5b24eb05abe27021224269bb7 Mon Sep 17 00:00:00 2001
From: Vladisalv Sovrasov <sovrasov.vlad@gmail.com>
Date: Tue, 29 Jul 2025 03:33:00 +0900
Subject: [PATCH 18/20] Update ref results

---
 tests/python/accuracy/public_scope.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/python/accuracy/public_scope.json b/tests/python/accuracy/public_scope.json
index 31afc17f..3ff8d0e1 100644
--- a/tests/python/accuracy/public_scope.json
+++ b/tests/python/accuracy/public_scope.json
@@ -67,7 +67,7 @@
       {
         "image": "coco128/images/train2017/000000000074.jpg",
         "reference": [
-          "0: 0.944, 1: 0.056, [426,640,2], [0], [0]; object: 0.505, 2, 0, object: 0.518, 8, 0, object: 0.512, 5, 0, object: 0.506, 4, 0, object: 0.526, 8, 0, object: 0.529, 21, 0, object: 0.513, 12, 0, object: 0.536, 49, 0, object: 0.505, 2, 0, object: 0.512, 4, 0, object: 0.547, 6, 0, object: 0.511, 6, 0, object: 0.503, 1, 0, object: 0.539, 6, 0, object: 0.543, 39, 0, object: 0.529, 2, 0, object: 0.516, 9, 0, object: 0.571, 157, 4, object: 0.524, 6, 0, object: 0.528, 15, 0, object: 0.521, 18, 0, object: 0.503, 1, 0, object: 0.537, 73, 0, object: 0.513, 4, 0, object: 0.524, 27, 0, object: 0.513, 6, 0, object: 0.539, 65, 1, object: 0.501, 6, 0, object: 0.504, 1, 0, object: 0.507, 4, 0, object: 0.502, 1, 0, object: 0.518, 8, 0, object: 0.530, 11, 0, object: 0.502, 2, 0, object: 0.516, 2, 0, object: 0.506, 1, 0, object: 0.567, 17, 0, object: 0.502, 1, 0, object: 0.512, 7, 0, object: 0.538, 24, 0, object: 0.507, 1, 0, object: 0.534, 12, 0, object: 0.510, 5, 0, object: 0.537, 6, 0, object: 0.519, 13, 0, object: 0.505, 2, 0, object: 0.540, 6, 0, object: 0.517, 16, 0, object: 0.505, 5, 0, object: 0.506, 20, 0, object: 0.508, 6, 0, object: 0.519, 24, 0, object: 0.507, 4, 0, object: 0.506, 2, 0, object: 0.511, 4, 0, object: 0.556, 47, 0, object: 0.510, 10, 0, object: 0.500, 1, 0, object: 0.504, 5, 0, object: 0.501, 1, 0, object: 0.510, 6, 0, object: 0.549, 13, 0, object: 0.509, 2, 0, object: 0.510, 3, 0, object: 0.514, 1, 0, object: 0.529, 15, 0, object: 0.554, 110, 1, object: 0.504, 2, 0, object: 0.503, 3, 0, object: 0.518, 16, 0, object: 0.511, 14, 0, object: 0.502, 1, 0, object: 0.523, 1, 0, object: 0.533, 16, 0, object: 0.568, 65, 0, object: 0.603, 1793, 73, "
+          "0: 0.944, 1: 0.056, [426,640,2], [0], [0]; object: 0.505, 2, 0, object: 0.518, 8, 0, object: 0.512, 5, 0, object: 0.506, 4, 0, object: 0.526, 8, 0, object: 0.529, 21, 0, object: 0.513, 12, 0, object: 0.535, 49, 0, object: 0.505, 2, 0, object: 0.512, 4, 0, object: 0.547, 6, 0, object: 0.511, 6, 0, object: 0.503, 1, 0, object: 0.539, 6, 0, object: 0.543, 39, 0, object: 0.529, 2, 0, object: 0.516, 9, 0, object: 0.571, 157, 4, object: 0.524, 6, 0, object: 0.528, 15, 0, object: 0.521, 18, 0, object: 0.502, 1, 0, object: 0.537, 73, 0, object: 0.513, 4, 0, object: 0.524, 27, 0, object: 0.513, 6, 0, object: 0.539, 65, 1, object: 0.501, 6, 0, object: 0.504, 1, 0, object: 0.507, 4, 0, object: 0.502, 1, 0, object: 0.518, 8, 0, object: 0.530, 11, 0, object: 0.502, 2, 0, object: 0.516, 2, 0, object: 0.506, 1, 0, object: 0.567, 17, 0, object: 0.502, 1, 0, object: 0.512, 7, 0, object: 0.538, 24, 0, object: 0.507, 1, 0, object: 0.534, 12, 0, object: 0.510, 5, 0, object: 0.537, 6, 0, object: 0.519, 13, 0, object: 0.505, 2, 0, object: 0.540, 6, 0, object: 0.517, 16, 0, object: 0.505, 5, 0, object: 0.506, 20, 0, object: 0.508, 6, 0, object: 0.519, 24, 0, object: 0.507, 4, 0, object: 0.506, 2, 0, object: 0.511, 4, 0, object: 0.556, 47, 0, object: 0.510, 10, 0, object: 0.500, 1, 0, object: 0.504, 5, 0, object: 0.501, 1, 0, object: 0.510, 6, 0, object: 0.549, 13, 0, object: 0.509, 2, 0, object: 0.510, 3, 0, object: 0.514, 1, 0, object: 0.529, 15, 0, object: 0.554, 110, 1, object: 0.504, 2, 0, object: 0.503, 3, 0, object: 0.518, 16, 0, object: 0.511, 14, 0, object: 0.502, 1, 0, object: 0.523, 1, 0, object: 0.533, 16, 0, object: 0.568, 66, 0, object: 0.603, 1793, 73, "
         ]
       }
     ]

From 410f3883bf0953ed0030b8941c887eae942ed33d Mon Sep 17 00:00:00 2001
From: Vladisalv Sovrasov <sovrasov.vlad@gmail.com>
Date: Wed, 30 Jul 2025 00:22:53 +0900
Subject: [PATCH 19/20] Add numpy conversion to shape

---
 .../model_api/models/result/segmentation.py   |  4 ++--
 tests/python/unit/results/test_sseg_result.py | 22 +++++++++++++++++++
 2 files changed, 24 insertions(+), 2 deletions(-)
 create mode 100644 tests/python/unit/results/test_sseg_result.py

diff --git a/src/python/model_api/models/result/segmentation.py b/src/python/model_api/models/result/segmentation.py
index a5144bd3..38830f39 100644
--- a/src/python/model_api/models/result/segmentation.py
+++ b/src/python/model_api/models/result/segmentation.py
@@ -167,10 +167,10 @@ def __init__(
         shape: np.ndarray | list[tuple[int, int]],
         excluded_shapes: list[np.ndarray] | list[tuple[int, int]] | None = None,
     ):
-        self.shape = shape
+        self.shape = np.array(shape)
         self.label = label
         self.probability = probability
-        self.excluded_shapes = excluded_shapes
+        self.excluded_shapes = np.array(excluded_shapes) if excluded_shapes is not None else None
 
     def __str__(self):
         num_children = len(self.excluded_shapes) if self.excluded_shapes is not None else 0
diff --git a/tests/python/unit/results/test_sseg_result.py b/tests/python/unit/results/test_sseg_result.py
new file mode 100644
index 00000000..b1481704
--- /dev/null
+++ b/tests/python/unit/results/test_sseg_result.py
@@ -0,0 +1,22 @@
+#
+# Copyright (C) 2025 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+#
+
+import numpy as np
+from model_api.models.result import Contour
+
+
+def test_contour_type():
+    contour = Contour(
+        shape=[(100, 100)],
+        label=1,
+        probability=0.9,
+        excluded_shapes=[(50, 50), (60, 60)],
+    )
+
+    assert isinstance(contour.shape, np.ndarray)
+    assert isinstance(contour.excluded_shapes, np.ndarray)
+    assert contour.label == 1
+    assert contour.probability == 0.9
+    assert np.array_equal(contour.excluded_shapes, np.array([(50, 50), (60, 60)]))

From f0e812a743a1efe2d8ec15a2ca6a9c151935039b Mon Sep 17 00:00:00 2001
From: Vladisalv Sovrasov <sovrasov.vlad@gmail.com>
Date: Wed, 30 Jul 2025 00:58:31 +0900
Subject: [PATCH 20/20] Fix list of contours conversion

---
 src/python/model_api/models/result/segmentation.py | 4 ++--
 tests/python/unit/results/test_sseg_result.py      | 7 ++++---
 2 files changed, 6 insertions(+), 5 deletions(-)

diff --git a/src/python/model_api/models/result/segmentation.py b/src/python/model_api/models/result/segmentation.py
index 38830f39..cad6b8a3 100644
--- a/src/python/model_api/models/result/segmentation.py
+++ b/src/python/model_api/models/result/segmentation.py
@@ -165,12 +165,12 @@ def __init__(
         label: str,
         probability: float,
         shape: np.ndarray | list[tuple[int, int]],
-        excluded_shapes: list[np.ndarray] | list[tuple[int, int]] | None = None,
+        excluded_shapes: list[np.ndarray] | list[list[tuple[int, int]]] | None = None,
     ):
         self.shape = np.array(shape)
         self.label = label
         self.probability = probability
-        self.excluded_shapes = np.array(excluded_shapes) if excluded_shapes is not None else None
+        self.excluded_shapes = [np.array(x) for x in excluded_shapes] if excluded_shapes is not None else None
 
     def __str__(self):
         num_children = len(self.excluded_shapes) if self.excluded_shapes is not None else 0
diff --git a/tests/python/unit/results/test_sseg_result.py b/tests/python/unit/results/test_sseg_result.py
index b1481704..26d0f83d 100644
--- a/tests/python/unit/results/test_sseg_result.py
+++ b/tests/python/unit/results/test_sseg_result.py
@@ -12,11 +12,12 @@ def test_contour_type():
         shape=[(100, 100)],
         label=1,
         probability=0.9,
-        excluded_shapes=[(50, 50), (60, 60)],
+        excluded_shapes=[[(50, 50)], [(60, 60)]],
     )
 
     assert isinstance(contour.shape, np.ndarray)
-    assert isinstance(contour.excluded_shapes, np.ndarray)
+    assert isinstance(contour.excluded_shapes, list)
+    assert isinstance(contour.excluded_shapes[0], np.ndarray)
     assert contour.label == 1
     assert contour.probability == 0.9
-    assert np.array_equal(contour.excluded_shapes, np.array([(50, 50), (60, 60)]))
+    assert np.array_equal(contour.excluded_shapes, np.array([[(50, 50)], [(60, 60)]]))