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Notebook name
i am using without custom code the automated-dataset-annotation-and-evaluation-with-grounding-dino-and-sam.ipynb
except that i am using the supervision==0.9.0 to change videos in images that i will use for auto labelling
Bug
then i come to the point to do the dataset save using the command:
sv.Dataset(
classes=CLASSES,
images=images,
annotations=annotations
).as_pascal_voc(
annotations_directory_path=ANNOTATIONS_DIRECTORY,
min_image_area_percentage=MIN_IMAGE_AREA_PERCENTAGE,
max_image_area_percentage=MAX_IMAGE_AREA_PERCENTAGE,
approximation_percentage=APPROXIMATION_PERCENTAGE
)
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Notebook name
i am using without custom code the automated-dataset-annotation-and-evaluation-with-grounding-dino-and-sam.ipynb except that i am using the supervision==0.9.0 to change videos in images that i will use for auto labelling
Bug
then i come to the point to do the dataset save using the command: sv.Dataset( classes=CLASSES, images=images, annotations=annotations ).as_pascal_voc( annotations_directory_path=ANNOTATIONS_DIRECTORY, min_image_area_percentage=MIN_IMAGE_AREA_PERCENTAGE, max_image_area_percentage=MAX_IMAGE_AREA_PERCENTAGE, approximation_percentage=APPROXIMATION_PERCENTAGE )
i have got the following error messsage:
sv.Dataset( classes=CLASSES, images=images, annotations=annotations ).as_pascal_voc( annotations_directory_path=ANNOTATIONS_DIRECTORY, min_image_area_percentage=MIN_IMAGE_AREA_PERCENTAGE, max_image_area_percentage=MAX_IMAGE_AREA_PERCENTAGE, approximation_percentage=APPROXIMATION_PERCENTAGE )
i have tried to unsintall supervision 0.9.0 and pu back the 0.6.0 but same results
Environment
Minimal Reproducible Example
No response
Additional
No response
Are you willing to submit a PR?