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Thanks for the great works! And I wonder how to calculate VTSS for user-provided videos?
The official VTSS inference demo needs the ground truth labels to resize predicted labels to the same scale as ground truth labels (pr_labels = rescale(pr_labels, gt_labels), line 83, training_suitability_assessment/inference.py). However, user-provided videos do not have the ground truth values. I have noticed the No Label Testing part in FusionDataset class (datasets.py), but the method simply set the gt_label to -1, after rescale() all the predicted values will be set to -1.
Thank you for your time and assistance!
The text was updated successfully, but these errors were encountered:
Thanks for the great works! And I wonder how to calculate VTSS for user-provided videos?
The official VTSS inference demo needs the ground truth labels to resize predicted labels to the same scale as ground truth labels (
pr_labels = rescale(pr_labels, gt_labels)
, line 83, training_suitability_assessment/inference.py). However, user-provided videos do not have the ground truth values. I have noticed theNo Label Testing
part inFusionDataset
class (datasets.py
), but the method simply set the gt_label to -1, afterrescale()
all the predicted values will be set to -1.Thank you for your time and assistance!
The text was updated successfully, but these errors were encountered: