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Merge branch 'develop' into min-ver-settings

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Onuralp SEZER committed 2023-11-15 21:39:37 +03:00
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.github/workflows/clear-cache.yml
+1 -1
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@@ -14,7 +14,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Clear cache
uses: actions/github-script@v6
uses: actions/github-script@v7
with:
script: |
console.log("About to clear")
.pre-commit-config.yaml
+3 -2
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@@ -11,6 +11,7 @@ repos:
hooks:
- id: end-of-file-fixer
- id: trailing-whitespace
exclude: test/.*\.py
- id: check-yaml
- id: check-docstring-first
- id: check-executables-have-shebangs
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- repo: https://github.com/psf/black
rev: 23.10.1
rev: 23.11.0
hooks:
- id: black
- repo: https://github.com/astral-sh/ruff-pre-commit
rev: v0.1.3
rev: v0.1.5
hooks:
- id: ruff
args: [--fix, --exit-non-zero-on-fix]
README.md
-4
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@@ -24,10 +24,6 @@
</div>
<a href="https://github.com/roboflow/supervision/issues?q=is%3Aissue+label%3Ahacktoberfest+">
<img width="100%" src="https://media.roboflow.com/open-source/supervision/hacktoberfest-banner-3.png">
</a>
## 👋 hello
**We write your reusable computer vision tools.** Whether you need to load your dataset from your hard drive, draw detections on an image or video, or count how many detections are in a zone. You can count on us! 🤝
docs/annotators.md
+25
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@@ -166,6 +166,27 @@
</div>
=== "Polygon"
```python
>>> import supervision as sv
>>> image = ...
>>> detections = sv.Detections(...)
>>> polygon_annotator = sv.PolygonAnnotator()
>>> annotated_frame = polygon_annotator.annotate(
... scene=image.copy(),
... detections=detections
... )
```
<div class="result" markdown>
![polygon-annotator-example](https://media.roboflow.com/supervision-annotator-examples/polygon-annotator-example-purple.png){ align=center width="800" }
</div>
=== "Label"
```python
@@ -304,6 +325,10 @@
:::supervision.annotators.core.MaskAnnotator
## PolygonAnnotator
:::supervision.annotators.core.PolygonAnnotator
## LabelAnnotator
:::supervision.annotators.core.LabelAnnotator
poetry.lock
Generated
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[[package]]
name = "mkdocs-material"
version = "9.4.7"
version = "9.4.8"
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{file = "mypy-1.7.0.tar.gz", hash = "sha256:1e280b5697202efa698372d2f39e9a6713a0395a756b1c6bd48995f8d72690dc"},
]
[package.dependencies]
@@ -1972,6 +1974,7 @@ typing-extensions = ">=4.1.0"
[package.extras]
dmypy = ["psutil (>=4.0)"]
install-types = ["pip"]
mypyc = ["setuptools (>=50)"]
reports = ["lxml"]
[[package]]
@@ -3262,28 +3265,28 @@ files = [
[[package]]
name = "ruff"
version = "0.1.3"
description = "An extremely fast Python linter, written in Rust."
version = "0.1.5"
description = "An extremely fast Python linter and code formatter, written in Rust."
optional = false
python-versions = ">=3.7"
files = [
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[[package]]
@@ -3772,4 +3775,4 @@ desktop = ["opencv-python"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.8,<3.12.0"
content-hash = "7d0396af59b415511fe78241e8b1ba534c14fe83a3e0365aed7fafad63d1cca9"
content-hash = "f2d0f1827c652b0ae160a093050bca163b13f2d166968893a0c5a02d27bfb856"
pyproject.toml
+3 -2
View File
@@ -57,7 +57,7 @@ pytest = "^7.2.2"
wheel = ">=0.40,<0.42"
notebook = ">=6.5.3,<8.0.0"
build = ">=0.10,<1.1"
ruff = ">=0.0.280,<0.1.4"
ruff = ">=0.0.280,<0.1.6"
isort = "^5.12.0"
black = "^23.7.0"
mypy = "^1.4.1"
@@ -67,7 +67,7 @@ flake8 = { version = "*", python = ">=3.8.1,<3.12.0" }
[tool.poetry.group.docs.dependencies]
mkdocs-material = "^9.1.4"
mkdocstrings = {extras = ["python"], version = ">=0.20,<0.24"}
mkdocstrings = {extras = ["python"], version = ">=0.20,<0.25"}
[tool.flake8]
exclude = ".venv"
@@ -173,6 +173,7 @@ convention = "google"
"__init__.py" = ["E402","F401"]
"supervision/assets/list.py" = ["E501"]
[tool.ruff.pylint]
max-args = 20
supervision/__init__.py
+1
View File
@@ -18,6 +18,7 @@ from supervision.annotators.core import (
HeatMapAnnotator,
LabelAnnotator,
MaskAnnotator,
PolygonAnnotator,
TraceAnnotator,
)
from supervision.annotators.utils import ColorLookup
supervision/annotators/core.py
+109 -14
View File
@@ -7,8 +7,9 @@ import numpy as np
from supervision.annotators.base import BaseAnnotator
from supervision.annotators.utils import ColorLookup, Trace, resolve_color
from supervision.detection.core import Detections
from supervision.detection.utils import clip_boxes
from supervision.detection.utils import clip_boxes, mask_to_polygons
from supervision.draw.color import Color, ColorPalette
from supervision.draw.utils import draw_polygon
from supervision.geometry.core import Position
@@ -51,7 +52,7 @@ class BoundingBoxAnnotator(BaseAnnotator):
Allows to override the default color mapping strategy.
Returns:
np.ndarray: The annotated image.
The annotated image.
Example:
```python
@@ -93,6 +94,10 @@ class BoundingBoxAnnotator(BaseAnnotator):
class MaskAnnotator(BaseAnnotator):
"""
A class for drawing masks on an image using provided detections.
!!! warning
This annotator utilizes the `sv.Detections.mask`.
"""
def __init__(
@@ -129,7 +134,7 @@ class MaskAnnotator(BaseAnnotator):
Allows to override the default color mapping strategy.
Returns:
np.ndarray: The annotated image.
The annotated image.
Example:
```python
@@ -170,6 +175,92 @@ class MaskAnnotator(BaseAnnotator):
return scene
class PolygonAnnotator(BaseAnnotator):
"""
A class for drawing polygons on an image using provided detections.
!!! warning
This annotator utilizes the `sv.Detections.mask`.
"""
def __init__(
self,
color: Union[Color, ColorPalette] = ColorPalette.default(),
thickness: int = 2,
color_lookup: ColorLookup = ColorLookup.CLASS,
):
"""
Args:
color (Union[Color, ColorPalette]): The color or color palette to use for
annotating detections.
thickness (int): Thickness of the polygon lines.
color_lookup (str): Strategy for mapping colors to annotations.
Options are `INDEX`, `CLASS`, `TRACE`.
"""
self.color: Union[Color, ColorPalette] = color
self.thickness: int = thickness
self.color_lookup: ColorLookup = color_lookup
def annotate(
self,
scene: np.ndarray,
detections: Detections,
custom_color_lookup: Optional[np.ndarray] = None,
) -> np.ndarray:
"""
Annotates the given scene with polygons based on the provided detections.
Args:
scene (np.ndarray): The image where polygons 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.
Returns:
The annotated image.
Example:
```python
>>> import supervision as sv
>>> image = ...
>>> detections = sv.Detections(...)
>>> polygon_annotator = sv.PolygonAnnotator()
>>> annotated_frame = polygon_annotator.annotate(
... scene=image.copy(),
... detections=detections
... )
```
![polygon-annotator-example](https://media.roboflow.com/
supervision-annotator-examples/polygon-annotator-example-purple.png)
"""
if detections.mask is None:
return scene
for detection_idx in range(len(detections)):
mask = detections.mask[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,
)
for polygon in mask_to_polygons(mask=mask):
scene = draw_polygon(
scene=scene,
polygon=polygon,
color=color,
thickness=self.thickness,
)
return scene
class BoxMaskAnnotator(BaseAnnotator):
"""
A class for drawing box masks on an image using provided detections.
@@ -209,7 +300,7 @@ class BoxMaskAnnotator(BaseAnnotator):
Allows to override the default color mapping strategy.
Returns:
np.ndarray: The annotated image.
The annotated image.
Example:
```python
@@ -255,6 +346,10 @@ class BoxMaskAnnotator(BaseAnnotator):
class HaloAnnotator(BaseAnnotator):
"""
A class for drawing Halos on an image using provided detections.
!!! warning
This annotator utilizes the `sv.Detections.mask`.
"""
def __init__(
@@ -295,7 +390,7 @@ class HaloAnnotator(BaseAnnotator):
Allows to override the default color mapping strategy.
Returns:
np.ndarray: The annotated image.
The annotated image.
Example:
```python
@@ -389,7 +484,7 @@ class EllipseAnnotator(BaseAnnotator):
Allows to override the default color mapping strategy.
Returns:
np.ndarray: The annotated image.
The annotated image.
Example:
```python
@@ -476,7 +571,7 @@ class BoxCornerAnnotator(BaseAnnotator):
Allows to override the default color mapping strategy.
Returns:
np.ndarray: The annotated image.
The annotated image.
Example:
```python
@@ -560,7 +655,7 @@ class CircleAnnotator(BaseAnnotator):
Allows to override the default color mapping strategy.
Returns:
np.ndarray: The annotated image.
The annotated image.
Example:
```python
@@ -646,7 +741,7 @@ class DotAnnotator(BaseAnnotator):
Allows to override the default color mapping strategy.
Returns:
np.ndarray: The annotated image.
The annotated image.
Example:
```python
@@ -776,7 +871,7 @@ class LabelAnnotator:
Allows to override the default color mapping strategy.
Returns:
np.ndarray: The annotated image.
The annotated image.
Example:
```python
@@ -873,7 +968,7 @@ class BlurAnnotator(BaseAnnotator):
detections (Detections): Object detections to annotate.
Returns:
np.ndarray: The annotated image.
The annotated image.
Example:
```python
@@ -911,7 +1006,7 @@ class TraceAnnotator:
!!! warning
This annotator utilizes the `tracker_id`. Read
This annotator utilizes the `sv.Detections.tracker_id`. Read
[here](https://supervision.roboflow.com/trackers/) to learn how to plug
tracking into your inference pipeline.
"""
@@ -959,7 +1054,7 @@ class TraceAnnotator:
Allows to override the default color mapping strategy.
Returns:
np.ndarray: The image with the trace paths drawn on it.
The annotated image.
Example:
```python
@@ -1055,7 +1150,7 @@ class HeatMapAnnotator:
detections (Detections): Object detections to annotate.
Returns:
np.ndarray: Annotated image.
Annotated image.
Example:
```python
supervision/dataset/formats/yolo.py
+1 -1
View File
@@ -149,7 +149,7 @@ def load_yolo_annotations(
annotations[image_path] = Detections.empty()
continue
lines = read_txt_file(str(annotation_path))
lines = read_txt_file(file_path=annotation_path, skip_empty=True)
h, w, _ = image.shape
resolution_wh = (w, h)
supervision/utils/file.py
+8 -3
View File
@@ -57,19 +57,24 @@ def list_files_with_extensions(
return files_with_extensions
def read_txt_file(file_path: str) -> List[str]:
def read_txt_file(file_path: str, skip_empty: bool = False) -> List[str]:
"""
Read a text file and return a list of strings without newline characters.
Optionally skip empty lines.
Args:
file_path (str): The path to the text file.
skip_empty (bool): If True, skip lines that are empty or contain only
whitespace. Default is False.
Returns:
List[str]: A list of strings representing the lines in the text file.
"""
with open(file_path, "r") as file:
lines = file.readlines()
lines = [line.rstrip("\n") for line in lines]
if skip_empty:
lines = [line.rstrip("\n") for line in file if line.strip()]
else:
lines = [line.rstrip("\n") for line in file]
return lines
test/annotators/test_utils.py
+1 -1
View File
@@ -1,5 +1,5 @@
from contextlib import ExitStack as DoesNotRaise
from test.utils import mock_detections
from test.test_utils import mock_detections
from typing import Optional
import numpy as np
test/dataset/formats/test_pascal_voc.py
+1 -1
View File
@@ -1,6 +1,6 @@
import xml.etree.ElementTree as ET
from contextlib import ExitStack as DoesNotRaise
from test.utils import mock_detections
from test.test_utils import mock_detections
from typing import List, Optional
import numpy as np
test/dataset/test_core.py
+1 -1
View File
@@ -1,5 +1,5 @@
from contextlib import ExitStack as DoesNotRaise
from test.utils import mock_detections
from test.test_utils import mock_detections
from typing import List, Optional
import numpy as np
test/dataset/test_utils.py
+1 -1
View File
@@ -1,5 +1,5 @@
from contextlib import ExitStack as DoesNotRaise
from test.utils import mock_detections
from test.test_utils import mock_detections
from typing import Dict, List, Optional, Tuple, TypeVar
import pytest
test/detection/test_core.py
+1 -1
View File
@@ -1,5 +1,5 @@
from contextlib import ExitStack as DoesNotRaise
from test.utils import mock_detections
from test.test_utils import mock_detections
from typing import List, Optional, Union
import numpy as np
test/metrics/test_detection.py
+1 -1
View File
@@ -1,5 +1,5 @@
from contextlib import ExitStack as DoesNotRaise
from test.utils import assert_almost_equal, mock_detections
from test.test_utils import assert_almost_equal, mock_detections
from typing import Optional, Union
import numpy as np
test/utils.py → test/test_utils.py
View File
File renamed without changes.
test/utils/__init__.py
View File
Whitespace-only changes.
test/utils/test_file.py
+64
View File
@@ -0,0 +1,64 @@
import os
from contextlib import ExitStack as DoesNotRaise
from typing import List, Optional
import pytest
from supervision.utils.file import read_txt_file
FILE_1_CONTENT = """Line 1
Line 2
Line 3
"""
FILE_2_CONTENT = """
Line 2
Line 4
""" # noqa
FILE_3_CONTENT = """
Line 2
Line 4
"""
@pytest.fixture(scope="module", autouse=True)
def setup_and_teardown_files():
with open("file_1.txt", "w") as file:
file.write(FILE_1_CONTENT)
with open("file_2.txt", "w") as file:
file.write(FILE_2_CONTENT)
with open("file_3.txt", "w") as file:
file.write(FILE_3_CONTENT)
yield
os.remove("file_1.txt")
os.remove("file_2.txt")
os.remove("file_3.txt")
@pytest.mark.parametrize(
"file_name, skip_empty, expected_result, exception",
[
("file_1.txt", False, ["Line 1", "Line 2", "Line 3"], DoesNotRaise()),
("file_2.txt", True, ["Line 2", "Line 4"], DoesNotRaise()),
("file_2.txt", False, [" ", "Line 2", "", "Line 4", ""], DoesNotRaise()),
("file_3.txt", True, ["Line 2", "Line 4"], DoesNotRaise()),
("file_3.txt", False, ["", "Line 2", "", "Line 4", ""], DoesNotRaise()),
("file_4.txt", True, None, pytest.raises(FileNotFoundError)),
],
)
def test_read_txt_file(
file_name: str,
skip_empty: bool,
expected_result: Optional[List[str]],
exception: Exception,
):
with exception:
result = read_txt_file(file_name, skip_empty)
assert result == expected_result