Add Polygon Primitive

src/python/model_api/visualizer/__init__.py

@@ -4,8 +4,8 @@
 # SPDX-License-Identifier: Apache-2.0
 
 from .layout import Flatten, HStack, Layout
-from .primitive import BoundingBox, Overlay
+from .primitive import BoundingBox, Overlay, Polygon
 from .scene import Scene
 from .visualizer import Visualizer
 
-__all__ = ["BoundingBox", "Overlay", "Scene", "Visualizer", "Layout", "Flatten", "HStack"]
+__all__ = ["BoundingBox", "Overlay", "Polygon", "Scene", "Visualizer", "Layout", "Flatten", "HStack"]

src/python/model_api/visualizer/primitive/__init__.py

@@ -0,0 +1,11 @@
+"""Primitive classes."""
+
+# Copyright (C) 2025 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+from .bounding_box import BoundingBox
+from .overlay import Overlay
+from .polygon import Polygon
+from .primitive import Primitive
+
+__all__ = ["Primitive", "BoundingBox", "Overlay", "Polygon"]

src/python/model_api/visualizer/primitive.py → src/python/model_api/visualizer/primitive/bounding_box.py

@@ -1,23 +1,13 @@
-"""Base class for primitives."""
+"""Bounding box primitive."""
 
-# Copyright (C) 2024 Intel Corporation
+# Copyright (C) 2025 Intel Corporation
 # SPDX-License-Identifier: Apache-2.0
 
 from __future__ import annotations
 
-from abc import ABC, abstractmethod
-
-import numpy as np
-import PIL
 from PIL import Image, ImageDraw
 
-
-class Primitive(ABC):
-    """Primitive class."""
-
-    @abstractmethod
-    def compute(self, image: Image) -> Image:
-        pass
+from .primitive import Primitive
 
 
 class BoundingBox(Primitive):
@@ -71,27 +61,3 @@ def compute(self, image: Image) -> Image:
             draw.text((0, 0), self.label, fill="white")
             image.paste(label_image, (self.x1, self.y1))
         return image
-
-
-class Overlay(Primitive):
-    """Overlay primitive.
-
-    Useful for XAI and Anomaly Maps.
-
-    Args:
-        image (PIL.Image | np.ndarray): Image to be overlaid.
-        opacity (float): Opacity of the overlay.
-    """
-
-    def __init__(self, image: PIL.Image | np.ndarray, opacity: float = 0.4) -> None:
-        self.image = self._to_pil(image)
-        self.opacity = opacity
-
-    def _to_pil(self, image: PIL.Image | np.ndarray) -> PIL.Image:
-        if isinstance(image, np.ndarray):
-            return PIL.Image.fromarray(image)
-        return image
-
-    def compute(self, image: PIL.Image) -> PIL.Image:
-        _image = self.image.resize(image.size)
-        return PIL.Image.blend(image, _image, self.opacity)

src/python/model_api/visualizer/primitive/overlay.py

@@ -0,0 +1,35 @@
+"""Overlay primitive."""
+
+# Copyright (C) 2025 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+from __future__ import annotations
+
+import numpy as np
+import PIL
+
+from .primitive import Primitive
+
+
+class Overlay(Primitive):
+    """Overlay primitive.
+
+    Useful for XAI and Anomaly Maps.
+
+    Args:
+        image (PIL.Image | np.ndarray): Image to be overlaid.
+        opacity (float): Opacity of the overlay.
+    """
+
+    def __init__(self, image: PIL.Image | np.ndarray, opacity: float = 0.4) -> None:
+        self.image = self._to_pil(image)
+        self.opacity = opacity
+
+    def _to_pil(self, image: PIL.Image | np.ndarray) -> PIL.Image:
+        if isinstance(image, np.ndarray):
+            return PIL.Image.fromarray(image)
+        return image
+
+    def compute(self, image: PIL.Image) -> PIL.Image:
+        image_ = self.image.resize(image.size)
+        return PIL.Image.blend(image, image_, self.opacity)

src/python/model_api/visualizer/primitive/polygon.py

@@ -0,0 +1,93 @@
+"""Polygon primitive."""
+
+# Copyright (C) 2025 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import cv2
+from PIL import Image, ImageDraw
+
+from .primitive import Primitive
+
+if TYPE_CHECKING:
+    import numpy as np
+
+
+class Polygon(Primitive):
+    """Polygon primitive.
+
+    Args:
+        points: List of points.
+        mask: Mask to draw the polygon.
+        color: Color of the polygon.
+
+    Examples:
+        >>> polygon = Polygon(points=[(10, 10), (100, 10), (100, 100), (10, 100)], color="red")
+        >>> polygon = Polygon(mask=mask, color="red")
+        >>> polygon.compute(image).save("polygon.jpg")
+
+        >>> polygon = Polygon(mask=mask, color="red")
+        >>> polygon.compute(image).save("polygon.jpg")
+    """
+
+    def __init__(
+        self,
+        points: list[tuple[int, int]] | None = None,
+        mask: np.ndarray | None = None,
+        color: str | tuple[int, int, int] = "blue",
+    ) -> None:
+        self.points = self._get_points(points, mask)
+        self.color = color
+
+    def _get_points(self, points: list[tuple[int, int]] | None, mask: np.ndarray | None) -> list[tuple[int, int]]:
+        """Get points from either points or mask.
+        Note:
+            Either points or mask should be provided.
+
+        Args:
+            points: List of points.
+            mask: Mask to draw the polygon.
+
+        Returns:
+            List of points.
+        """
+        if points is not None and mask is not None:
+            msg = "Either points or mask should be provided, not both."
+            raise ValueError(msg)
+        if points is not None:
+            points_ = points
+        elif mask is not None:
+            points_ = self._get_points_from_mask(mask)
+        else:
+            msg = "Either points or mask should be provided."
+            raise ValueError(msg)
+        return points_
+
+    def _get_points_from_mask(self, mask: np.ndarray) -> list[tuple[int, int]]:
+        """Get points from mask.
+
+        Args:
+            mask: Mask to draw the polygon.
+
+        Returns:
+            List of points.
+        """
+        contours, _ = cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
+        points_ = contours[0].squeeze().tolist()
+        return [tuple(point) for point in points_]
+
+    def compute(self, image: Image) -> Image:
+        """Compute the polygon.
+
+        Args:
+            image: Image to draw the polygon on.
+
+        Returns:
+            Image with the polygon drawn on it.
+        """
+        draw = ImageDraw.Draw(image)
+        draw.polygon(self.points, fill=self.color)
+        return image

src/python/model_api/visualizer/primitive/primitive.py

@@ -0,0 +1,20 @@
+"""Base class for primitives."""
+
+# Copyright (C) 2025 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+from __future__ import annotations
+
+from abc import ABC, abstractmethod
+from typing import TYPE_CHECKING
+
+if TYPE_CHECKING:
+    import PIL
+
+
+class Primitive(ABC):
+    """Base class for primitives."""
+
+    @abstractmethod
+    def compute(self, image: PIL.Image) -> PIL.Image:
+        """Compute the primitive."""

tests/python/unit/visualizer/test_primitive.py

@@ -7,7 +7,7 @@
 import PIL
 from PIL import ImageDraw
 
-from model_api.visualizer import BoundingBox, Overlay
+from model_api.visualizer import BoundingBox, Overlay, Polygon
 
 
 def test_overlay(mock_image: PIL.Image):
@@ -32,3 +32,22 @@ def test_bounding_box(mock_image: PIL.Image):
     draw.rectangle((10, 10, 100, 100), outline="blue", width=2)
     bounding_box = BoundingBox(x1=10, y1=10, x2=100, y2=100)
     assert bounding_box.compute(mock_image) == expected_image
+
+
+def test_polygon(mock_image: PIL.Image):
+    """Test if the polygon is created correctly."""
+    # Test from points
+    expected_image = mock_image.copy()
+    draw = ImageDraw.Draw(expected_image)
+    draw.polygon([(10, 10), (100, 10), (100, 100), (10, 100)], fill="red")
+    polygon = Polygon(points=[(10, 10), (100, 10), (100, 100), (10, 100)], color="red")
+    assert polygon.compute(mock_image) == expected_image
+
+    # Test from mask
+    mask = np.zeros((100, 100), dtype=np.uint8)
+    mask[10:100, 10:100] = 255
+    expected_image = mock_image.copy()
+    draw = ImageDraw.Draw(expected_image)
+    draw.polygon([(10, 10), (100, 10), (100, 100), (10, 100)], fill="red")
+    polygon = Polygon(mask=mask, color="red")
+    assert polygon.compute(mock_image) == expected_image