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Update Ruff formatting actions (#13787)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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Glenn Jocher 2024-06-19 02:15:27 +02:00 • committed by GitHub
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commit a97bb41008
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3 changed files with 6 additions and 4 deletions
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7
docs/en/guides/ros-quickstart.md
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@ -105,17 +105,18 @@ The `sensor_msgs/Image` [message type](https://docs.ros.org/en/api/sensor_msgs/h
```python ```python
def callback(data): def callback(data):
"""Callback function to process image and publish annotated images.""" """Callback function to process image and publish annotated images."""
array = ros_numpy.numpify(data) array = ros_numpy.numpify(data)
if det_image_pub.get_num_connections(): if det_image_pub.get_num_connections():
det_result = detection_model(array) det_result = detection_model(array)
det_annotated = det_result[0].plot(show=False) det_annotated = det_result[0].plot(show=False)
det_image_pub.publish(ros_numpy.msgify(Image, det_annotated, encoding='rgb8')) det_image_pub.publish(ros_numpy.msgify(Image, det_annotated, encoding="rgb8"))
if seg_image_pub.get_num_connections(): if seg_image_pub.get_num_connections():
seg_result = segmentation_model(array) seg_result = segmentation_model(array)
seg_annotated = seg_result[0].plot(show=False) seg_annotated = seg_result[0].plot(show=False)
seg_image_pub.publish(ros_numpy.msgify(Image, seg_annotated, encoding='rgb8')) seg_image_pub.publish(ros_numpy.msgify(Image, seg_annotated, encoding="rgb8"))
rospy.Subscriber("/camera/color/image_raw", Image, callback) rospy.Subscriber("/camera/color/image_raw", Image, callback)

1
pyproject.toml
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@ -149,7 +149,6 @@ markers = [
] ]
norecursedirs = [".git", "dist", "build"] norecursedirs = [".git", "dist", "build"]
[tool.coverage.run] [tool.coverage.run]
source = ["ultralytics/"] source = ["ultralytics/"]
data_file = "tests/.coverage" data_file = "tests/.coverage"

2
ultralytics/utils/callbacks/mlflow.py
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@ -38,10 +38,12 @@ try:
except (ImportError, AssertionError): except (ImportError, AssertionError):
mlflow = None mlflow = None
def sanitize_dict(x): def sanitize_dict(x):
"""Sanitize dictionary keys by removing parentheses and converting values to floats.""" """Sanitize dictionary keys by removing parentheses and converting values to floats."""
return {k.replace("(", "").replace(")", ""): float(v) for k, v in x.items()} return {k.replace("(", "").replace(")", ""): float(v) for k, v in x.items()}
def on_pretrain_routine_end(trainer): def on_pretrain_routine_end(trainer):
""" """
Log training parameters to MLflow at the end of the pretraining routine. Log training parameters to MLflow at the end of the pretraining routine.