Returns a shorter version of object names for cleaner display.

where does the col at block-col r start?

where does the col at block-col r start?

columns of the matrix

columns of the matrix

columns of the matrix

how many cols does the block at block-col c has?

how many cols does the block at block-col c has?

compute the index used for hashing

* computes the inverse of the specified vertex. * @param vertex: the vertex whose state is to be marginalised * @param spinv: the sparse blo

* compute the symbolic decompostion of the matrix only once. * Since A has the same pattern in all the iterations, we only * compute the fil

Compute Average Precision at a set IoU threshold (default 0.5). Returns: mAP: Mean Average Precision precisions: List of precisions at di

Compute the recall at the given IoU threshold. It's an indication of how many GT boxes were found by the given prediction boxes. pred_boxes:

return the currently used damping factor

* convert from degree to radian */

how many rows/cols does the block at block-row / block-column r has?

dimension of the estimated state belonging to this node

* Returns whether all the possible values between min and max were * already given. If get() is called when empty() is true, the behaviour * is

Resizes mini masks back to image size. Reverses the change of minimize_mask(). See inspect_data.ipynb notebook for more details.

Compute bounding boxes from masks. mask: [height, width, num_instances]. Mask pixels are either 1 or 0. Returns: bbox array [num_instances, (