trackpy.linking.subnetlinker

Functions to evaluate all possible links between two groups of features.

These are low-level functions that rigorously resolve cases when features can be linked in more than one way.

Functions

drop_link(source_list, dest_size, search_range)	Handle subnets by dropping particles.
nonrecursive_link(source_list, dest_size, ...)
numba_link(s_sn, dest_size, search_range[, ...])	Recursively find the optimal bonds for a group of particles between 2 frames.
recursive_linker_obj(s_sn, dest_size, ...[, ...])
subnet_linker_drop(source_set, dest_set, ...)	Handle subnets by dropping particles.
subnet_linker_nonrecursive(source_set, ...)
subnet_linker_numba(source_set, dest_set, ...)	Link a subnet using a numba-accelerated algorithm.
subnet_linker_recursive(source_set, ...)

Classes

SubnetLinker(s_sn, dest_size, search_range)

A helper class for implementing the Crocker-Grier tracking algorithm.