delta.utils.tracking_scores#
- delta.utils.tracking_scores(labels, logits, boxes)[source]#
Get overlap scores between input/target cells and tracking outputs.
- Parameters
- labels2D array of np.uint16
Labelled image (untracked) of the current frame.
- logits3D array of floats (previous_cells, sizex, sizey)
Tracking U-Net output.
- boxeslist[CroppingBox]
Cropping boxes to re-place output prediction masks in the original coordinates to index the labels frame.
- Returns
- scores2D array of floats (previous_cells, current_cells)
Overlap scores matrix between tracking predictions and current segmentation mask for each new-old cell.