vis4d.eval.scalabel.detect

Scalabel detection evaluator.

Classes

ScalabelDetectEvaluator(annotation_path[, ...])

Scalabel 2D detection evaluation class.

class ScalabelDetectEvaluator(annotation_path, config=None, mask_threshold=0.0)

Scalabel 2D detection evaluation class.

Initialize the evaluator.

__repr__()

Concise representation of the dataset evaluator.

Return type:

str

evaluate(metric)

Evaluate the dataset.

Return type:

tuple[Dict[str, Union[float, int, Tensor]], str]

process_batch(frame_ids, sample_names, sequence_names, pred_boxes, pred_classes, pred_scores, pred_masks=None)

Process tracking results.

Return type:

None

property metrics: list[str]

Supported metrics.