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import logging | |
from .vg_eval import do_vg_evaluation | |
def vg_evaluation(dataset, predictions, output_folder, box_only, eval_attributes=False, **_): | |
logger = logging.getLogger("maskrcnn_benchmark.inference") | |
logger.info("performing vg evaluation, ignored iou_types.") | |
return do_vg_evaluation( | |
dataset=dataset, | |
predictions=predictions, | |
output_folder=output_folder, | |
box_only=box_only, | |
eval_attributes=eval_attributes, | |
logger=logger, | |
) | |