supervision-0.12.0

[SkalskiP]

Warning
With the supervision-0.12.0 release, we are terminating official support for Python 3.7. (#179)

🚀 Added

• Initial support for object detection model benchmarking with sv.ConfusionMatrix. (#177)

>>> import supervision as sv
>>> from ultralytics import YOLO

>>> dataset = sv.DetectionDataset.from_yolo(...)

>>> model = YOLO(...)
>>> def callback(image: np.ndarray) -> sv.Detections:
...     result = model(image)[0]
...     return sv.Detections.from_yolov8(result)

>>> confusion_matrix = sv.ConfusionMatrix.benchmark(
...     dataset = dataset,
...     callback = callback
... )

>>> confusion_matrix.matrix
array([
    [0., 0., 0., 0.],
    [0., 1., 0., 1.],
    [0., 1., 1., 0.],
    [1., 1., 0., 0.]
])

• Detections.from_mmdetection to enable seamless integration with MMDetection framework. (#173)

• Ability to install package in headless or desktop mode. (#130)

🌱 Changed

• Packing method from setup.py to pyproject.toml. (#180)

🛠️ Fixed

• sv.DetectionDataset.from_cooc can't be loaded when there are images without annotations. (#188)
• sv.DetectionDataset.from_yolo can't load background instances. (#226)

🏆 Contributors

@kirilllzaitsev @hardikdava @onuralpszr @Ucag @SkalskiP @capjamesg

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This discussion was created from the release supervision-0.12.0.