supervision-0.8.0

[SkalskiP]

🚀 Added

• Support for dataset inheritance. The current Dataset got renamed to DetectionDataset. Now DetectionDataset inherits from BaseDataset. This change was made to enforce the future consistency of APIs of different types of computer vision datasets. (feature/support for yolo dataset export #100)
• Ability to save datasets in YOLO format using DetectionDataset.as_yolo. (feature/support for yolo dataset export #100)

>>> import roboflow
>>> from roboflow import Roboflow
>>> import supervision as sv

>>> roboflow.login()

>>> rf = Roboflow()

>>> project = rf.workspace(WORKSPACE_ID).project(PROJECT_ID)
>>> dataset = project.version(PROJECT_VERSION).download("yolov5")

>>> train_dataset = sv.Dataset.from_yolo(
...     images_directory_path=f"{dataset.location}/train/images",
...     annotations_directory_path=f"{dataset.location}/train/labels",
...     data_yaml_path=f"{dataset.location}/data.yaml"
... )

>>> dataset.classes
['dog', 'person']

• Support for splitting DetectionDataset. (feature/dataset_split #102)

>>> import supervision as sv

>>> dataset = sv.DetectionDataset(...)
>>> train_dataset, test_dataset = dataset.split(split_ratio=0.7, random_state=42, shuffle=True)
>>> len(train_dataset), len(test_dataset)
(700, 300)

🌱 Changed

• Default value of approximation_percentage parameter from 0.75 to 0.0 in DetectionDataset.as_yolo and DetectionDataset.as_pascal_voc.

🏆 Contributors

• @SkalskiP

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This discussion was created from the release supervision-0.8.0.