diff --git a/.gitignore b/.gitignore
index b128120aa..48c7bd188 100644
--- a/.gitignore
+++ b/.gitignore
@@ -135,3 +135,24 @@ dmypy.json
# Notebooks
notebooks/
+
+# OSX folder attributes
+.DS_Store
+.AppleDouble
+.LSOverride
+
+# Thumbnails
+._*
+
+# Files that might appear on external disk
+.Spotlight-V100
+.Trashes
+
+# Windows
+Thumbs.db
+Desktop.ini
+
+# Linux
+*~
+.directory
+.Trash-*
diff --git a/docs/annotators.md b/docs/annotators.md
index 316f37e01..f7dc8ece4 100644
--- a/docs/annotators.md
+++ b/docs/annotators.md
@@ -124,7 +124,7 @@ comments: true
- { align=center width="800" }
+ { align=center width="800" }
@@ -187,7 +187,28 @@ comments: true
- { align=center width="800" }
+ { align=center width="800" }
+
+
+
+=== "PercentageBar"
+
+ ```python
+ >>> import supervision as sv
+
+ >>> image = ...
+ >>> detections = sv.Detections(...)
+
+ >>> percentage_bar_annotator = sv.PercentageBarAnnotator()
+ >>> annotated_frame = percentage_bar_annotator.annotate(
+ ... scene=image.copy(),
+ ... detections=detections
+ ... )
+ ```
+
+
+
+ { align=center width="800" }
@@ -352,7 +373,7 @@ comments: true
- { align=center width="800" }
+ { align=center width="800" }
@@ -360,6 +381,10 @@ comments: true
:::supervision.annotators.core.BoundingBoxAnnotator
+## RoundBoxAnnotator
+
+:::supervision.annotators.core.RoundBoxAnnotator
+
## BoxCornerAnnotator
:::supervision.annotators.core.BoxCornerAnnotator
@@ -388,6 +413,10 @@ comments: true
:::supervision.annotators.core.HaloAnnotator
+## PercentageBarAnnotator
+
+:::supervision.annotators.core.PercentageBarAnnotator
+
## HeatMapAnnotator
:::supervision.annotators.core.HeatMapAnnotator
@@ -416,10 +445,6 @@ comments: true
:::supervision.annotators.core.TraceAnnotator
-## RoundBoxAnnotator
-
-:::supervision.annotators.core.RoundBoxAnnotator
-
## ColorLookup
:::supervision.annotators.utils.ColorLookup
diff --git a/poetry.lock b/poetry.lock
index 0bd1c035e..835455b2f 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -262,6 +262,47 @@ files = [
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]
+[[package]]
+name = "cairocffi"
+version = "1.6.1"
+description = "cffi-based cairo bindings for Python"
+optional = false
+python-versions = ">=3.7"
+files = [
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+ {file = "cairocffi-1.6.1.tar.gz", hash = "sha256:78e6bbe47357640c453d0be929fa49cd05cce2e1286f3d2a1ca9cbda7efdb8b7"},
+]
+
+[package.dependencies]
+cffi = ">=1.1.0"
+
+[package.extras]
+doc = ["sphinx", "sphinx_rtd_theme"]
+test = ["flake8", "isort", "numpy", "pikepdf", "pytest"]
+xcb = ["xcffib (>=1.4.0)"]
+
+[[package]]
+name = "cairosvg"
+version = "2.7.1"
+description = "A Simple SVG Converter based on Cairo"
+optional = false
+python-versions = ">=3.5"
+files = [
+ {file = "CairoSVG-2.7.1-py3-none-any.whl", hash = "sha256:8a5222d4e6c3f86f1f7046b63246877a63b49923a1cd202184c3a634ef546b3b"},
+ {file = "CairoSVG-2.7.1.tar.gz", hash = "sha256:432531d72347291b9a9ebfb6777026b607563fd8719c46ee742db0aef7271ba0"},
+]
+
+[package.dependencies]
+cairocffi = "*"
+cssselect2 = "*"
+defusedxml = "*"
+pillow = "*"
+tinycss2 = "*"
+
+[package.extras]
+doc = ["sphinx", "sphinx-rtd-theme"]
+test = ["flake8", "isort", "pytest"]
+
[[package]]
name = "certifi"
version = "2023.11.17"
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@@ -541,7 +579,6 @@ files = [
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@@ -678,6 +715,25 @@ ssh = ["bcrypt (>=3.1.5)"]
test = ["pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-xdist"]
test-randomorder = ["pytest-randomly"]
+[[package]]
+name = "cssselect2"
+version = "0.7.0"
+description = "CSS selectors for Python ElementTree"
+optional = false
+python-versions = ">=3.7"
+files = [
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+ {file = "cssselect2-0.7.0.tar.gz", hash = "sha256:1ccd984dab89fc68955043aca4e1b03e0cf29cad9880f6e28e3ba7a74b14aa5a"},
+]
+
+[package.dependencies]
+tinycss2 = "*"
+webencodings = "*"
+
+[package.extras]
+doc = ["sphinx", "sphinx_rtd_theme"]
+test = ["flake8", "isort", "pytest"]
+
[[package]]
name = "cycler"
version = "0.12.1"
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babel = ">=2.10,<3.0"
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colorama = ">=0.4,<1.0"
jinja2 = ">=3.0,<4.0"
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mkdocs = ">=1.5.3,<1.6.0"
mkdocs-material-extensions = ">=1.3,<2.0"
paginate = ">=0.5,<1.0"
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pygments = ">=2.16,<3.0"
pymdown-extensions = ">=10.2,<11.0"
regex = ">=2022.4"
@@ -2368,88 +2416,82 @@ files = [
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name = "pillow"
-version = "10.2.0"
+version = "9.5.0"
description = "Python Imaging Library (Fork)"
optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.7"
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+ {file = "Pillow-9.5.0.tar.gz", hash = "sha256:bf548479d336726d7a0eceb6e767e179fbde37833ae42794602631a070d630f1"},
]
[package.extras]
docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinx-removed-in", "sphinxext-opengraph"]
-fpx = ["olefile"]
-mic = ["olefile"]
tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
-typing = ["typing-extensions"]
-xmp = ["defusedxml"]
[[package]]
name = "pkginfo"
@@ -2815,7 +2857,6 @@ files = [
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@@ -2823,16 +2864,8 @@ files = [
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- {file = "PyYAML-6.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:0d3304d8c0adc42be59c5f8a4d9e3d7379e6955ad754aa9d6ab7a398b59dd1df"},
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@@ -2849,7 +2882,6 @@ files = [
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- {file = "PyYAML-6.0.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:49a183be227561de579b4a36efbb21b3eab9651dd81b1858589f796549873dd6"},
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{file = "PyYAML-6.0.1-cp38-cp38-win_amd64.whl", hash = "sha256:1e2722cc9fbb45d9b87631ac70924c11d3a401b2d7f410cc0e3bbf249f2dca62"},
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@@ -2857,7 +2889,6 @@ files = [
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- {file = "PyYAML-6.0.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5"},
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{file = "PyYAML-6.0.1.tar.gz", hash = "sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43"},
@@ -3878,4 +3909,4 @@ desktop = ["opencv-python"]
[metadata]
lock-version = "2.0"
python-versions = "^3.8"
-content-hash = "e3eb16a4d7b444f4094ad0b753ef623dd7a589c76bfbcc4c0f3cb7d6e11d99f5"
+content-hash = "3d59673b11422c0c463ec7b7e20b8a295155d71a6c42ad97f819e9798643b0ef"
diff --git a/pyproject.toml b/pyproject.toml
index 49d41f5d1..467f04654 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -65,7 +65,7 @@ tox = "^4.11.4"
[tool.poetry.group.docs.dependencies]
-mkdocs-material = "^9.1.4"
+mkdocs-material = {extras = ["imaging"], version = "^9.5.4"}
mkdocstrings = {extras = ["python"], version = ">=0.20,<0.25"}
diff --git a/supervision/__init__.py b/supervision/__init__.py
index 7e3770864..da28b1249 100644
--- a/supervision/__init__.py
+++ b/supervision/__init__.py
@@ -18,6 +18,7 @@
HeatMapAnnotator,
LabelAnnotator,
MaskAnnotator,
+ PercentageBarAnnotator,
PixelateAnnotator,
PolygonAnnotator,
RoundBoxAnnotator,
diff --git a/supervision/annotators/core.py b/supervision/annotators/core.py
index 9ae81c958..1c4a25270 100644
--- a/supervision/annotators/core.py
+++ b/supervision/annotators/core.py
@@ -1436,7 +1436,7 @@ def annotate(
```
+ supervision-annotator-examples/round-box-annotator-example-purple.png)
"""
for detection_idx in range(len(detections)):
@@ -1496,3 +1496,177 @@ def annotate(
)
return scene
+
+
+class PercentageBarAnnotator(BaseAnnotator):
+ """
+ A class for drawing percentage bars on an image using provided detections.
+ """
+
+ def __init__(
+ self,
+ height: int = 16,
+ width: int = 80,
+ color: Union[Color, ColorPalette] = ColorPalette.default(),
+ border_color: Color = Color.black(),
+ position: Position = Position.TOP_CENTER,
+ color_lookup: ColorLookup = ColorLookup.CLASS,
+ border_thickness: int = None,
+ ):
+ """
+ Args:
+ height (int): The height in pixels of the percentage bar.
+ width (int): The width in pixels of the percentage bar.
+ color (Union[Color, ColorPalette]): The color or color palette to use for
+ annotating detections.
+ border_color (Color): The color of the border lines.
+ position (Position): The anchor position of drawing the percentage bar.
+ color_lookup (str): Strategy for mapping colors to annotations.
+ Options are `INDEX`, `CLASS`, `TRACK`.
+ border_thickness (int): The thickness of the border lines.
+ """
+ self.height: int = height
+ self.width: int = width
+ self.color: Union[Color, ColorPalette] = color
+ self.border_color: Color = border_color
+ self.position: Position = position
+ self.color_lookup: ColorLookup = color_lookup
+
+ if border_thickness is None:
+ self.border_thickness = int(0.15 * self.height)
+
+ def annotate(
+ self,
+ scene: np.ndarray,
+ detections: Detections,
+ custom_color_lookup: Optional[np.ndarray] = None,
+ custom_values: Optional[np.ndarray] = None,
+ ) -> np.ndarray:
+ """
+ Annotates the given scene with percentage bars based on the provided
+ detections. The percentage bars visually represent the confidence or custom
+ values associated with each detection.
+
+ Args:
+ scene (np.ndarray): The image where percentage bars will be drawn.
+ detections (Detections): Object detections to annotate.
+ custom_color_lookup (Optional[np.ndarray]): Custom color lookup array.
+ Allows to override the default color mapping strategy.
+ custom_values (Optional[np.ndarray]): Custom values array to use instead
+ of the default detection confidences. This array should have the
+ same length as the number of detections and contain a value between
+ 0 and 1 (inclusive) for each detection, representing the percentage
+ to be displayed.
+
+ Returns:
+ The annotated image.
+
+ Example:
+ ```python
+ >>> import supervision as sv
+
+ >>> image = ...
+ >>> detections = sv.Detections(...)
+
+ >>> percentage_bar_annotator = sv.BoundingBoxAnnotator()
+ >>> annotated_frame = percentage_bar_annotator.annotate(
+ ... scene=image.copy(),
+ ... detections=detections
+ ... )
+ ```
+
+ 
+ """
+ self.validate_custom_values(
+ custom_values=custom_values, detections_count=len(detections)
+ )
+ anchors = detections.get_anchors_coordinates(anchor=self.position)
+ for detection_idx in range(len(detections)):
+ anchor = anchors[detection_idx]
+ border_coordinates = self.calculate_border_coordinates(
+ anchor_xy=(int(anchor[0]), int(anchor[1])),
+ border_wh=(self.width, self.height),
+ position=self.position,
+ )
+ border_width = border_coordinates[1][0] - border_coordinates[0][0]
+
+ value = (
+ custom_values[detection_idx]
+ if custom_values is not None
+ else detections.confidence[detection_idx]
+ )
+
+ color = resolve_color(
+ color=self.color,
+ detections=detections,
+ detection_idx=detection_idx,
+ color_lookup=self.color_lookup
+ if custom_color_lookup is None
+ else custom_color_lookup,
+ )
+ cv2.rectangle(
+ img=scene,
+ pt1=border_coordinates[0],
+ pt2=(
+ border_coordinates[0][0] + int(border_width * value),
+ border_coordinates[1][1],
+ ),
+ color=color.as_bgr(),
+ thickness=-1,
+ )
+ cv2.rectangle(
+ img=scene,
+ pt1=border_coordinates[0],
+ pt2=border_coordinates[1],
+ color=self.border_color.as_bgr(),
+ thickness=self.border_thickness,
+ )
+ return scene
+
+ @staticmethod
+ def calculate_border_coordinates(
+ anchor_xy: Tuple[int, int], border_wh: Tuple[int, int], position: Position
+ ) -> Tuple[Tuple[int, int], Tuple[int, int]]:
+ cx, cy = anchor_xy
+ width, height = border_wh
+
+ if position == Position.TOP_LEFT:
+ return (cx - width, cy - height), (cx, cy)
+ elif position == Position.TOP_CENTER:
+ return (cx - width // 2, cy), (cx + width // 2, cy - height)
+ elif position == Position.TOP_RIGHT:
+ return (cx, cy), (cx + width, cy - height)
+ elif position == Position.CENTER_LEFT:
+ return (cx - width, cy - height // 2), (cx, cy + height // 2)
+ elif position == Position.CENTER or position == Position.CENTER_OF_MASS:
+ return (
+ (cx - width // 2, cy - height // 2),
+ (cx + width // 2, cy + height // 2),
+ )
+ elif position == Position.CENTER_RIGHT:
+ return (cx, cy - height // 2), (cx + width, cy + height // 2)
+ elif position == Position.BOTTOM_LEFT:
+ return (cx - width, cy), (cx, cy + height)
+ elif position == Position.BOTTOM_CENTER:
+ return (cx - width // 2, cy), (cx + width // 2, cy + height)
+ elif position == Position.BOTTOM_RIGHT:
+ return (cx, cy), (cx + width, cy + height)
+
+ @staticmethod
+ def validate_custom_values(
+ custom_values: Optional[Union[np.ndarray, List[float]]], detections_count: int
+ ) -> None:
+ if custom_values is not None:
+ if not isinstance(custom_values, (np.ndarray, list)):
+ raise TypeError(
+ "custom_values must be either a numpy array or a list of floats."
+ )
+
+ if len(custom_values) != detections_count:
+ raise ValueError(
+ "The length of custom_values must match the number of detections."
+ )
+
+ if not all(0 <= value <= 1 for value in custom_values):
+ raise ValueError("All values in custom_values must be between 0 and 1.")