nifty.graph.opt.lifted_multicut

Functions

nifty.graph.opt.lifted_multicut.liftedMulticutObjective()
nifty.graph.opt.lifted_multicut.liftedUcmFeatures()
nifty.graph.opt.lifted_multicut.pixelWiseLmcObjective(weights, offsets)
nifty.graph.opt.lifted_multicut.pixel_wise_lmc_edge_gt_2d()

Classes

class nifty.graph.opt.lifted_multicut.ChainedSolversFactoryLiftedMulticutObjectiveUndirectedGraph
class nifty.graph.opt.lifted_multicut.ChainedSolversFactoryLiftedMulticutObjectiveUndirectedGridGraph2DSimpleNh
class nifty.graph.opt.lifted_multicut.ChainedSolversLiftedMulticutObjectiveUndirectedGraph
class nifty.graph.opt.lifted_multicut.ChainedSolversLiftedMulticutObjectiveUndirectedGridGraph2DSimpleNh
class nifty.graph.opt.lifted_multicut.ChainedSolversSettingsTypeLiftedMulticutObjectiveUndirectedGraph
factories
class nifty.graph.opt.lifted_multicut.ChainedSolversSettingsTypeLiftedMulticutObjectiveUndirectedGridGraph2DSimpleNh
factories
class nifty.graph.opt.lifted_multicut.FusionMoveBasedFactoryLiftedMulticutObjectiveUndirectedGraph
class nifty.graph.opt.lifted_multicut.FusionMoveBasedFactoryLiftedMulticutObjectiveUndirectedGridGraph2DSimpleNh
class nifty.graph.opt.lifted_multicut.FusionMoveBasedFactoryLiftedMulticutObjectiveUndirectedGridGraph3DSimpleNh
class nifty.graph.opt.lifted_multicut.FusionMoveBasedLiftedMulticutObjectiveUndirectedGraph
class nifty.graph.opt.lifted_multicut.FusionMoveBasedLiftedMulticutObjectiveUndirectedGridGraph2DSimpleNh
class nifty.graph.opt.lifted_multicut.FusionMoveBasedLiftedMulticutObjectiveUndirectedGridGraph3DSimpleNh
class nifty.graph.opt.lifted_multicut.FusionMoveBasedSettingsTypeLiftedMulticutObjectiveUndirectedGraph
numberOfIterations
numberOfThreads
proposalGenerator
stopIfNoImprovement
class nifty.graph.opt.lifted_multicut.FusionMoveBasedSettingsTypeLiftedMulticutObjectiveUndirectedGridGraph2DSimpleNh
numberOfIterations
numberOfThreads
proposalGenerator
stopIfNoImprovement
class nifty.graph.opt.lifted_multicut.FusionMoveBasedSettingsTypeLiftedMulticutObjectiveUndirectedGridGraph3DSimpleNh
numberOfIterations
numberOfThreads
proposalGenerator
stopIfNoImprovement
class nifty.graph.opt.lifted_multicut.LiftedMulticutAndresGreedyAdditiveFactoryLiftedMulticutObjectiveUndirectedGraph
class nifty.graph.opt.lifted_multicut.LiftedMulticutAndresGreedyAdditiveFactoryLiftedMulticutObjectiveUndirectedGridGraph2DSimpleNh
class nifty.graph.opt.lifted_multicut.LiftedMulticutAndresGreedyAdditiveFactoryLiftedMulticutObjectiveUndirectedGridGraph3DSimpleNh
class nifty.graph.opt.lifted_multicut.LiftedMulticutAndresGreedyAdditiveLiftedMulticutObjectiveUndirectedGraph
class nifty.graph.opt.lifted_multicut.LiftedMulticutAndresGreedyAdditiveLiftedMulticutObjectiveUndirectedGridGraph2DSimpleNh
class nifty.graph.opt.lifted_multicut.LiftedMulticutAndresGreedyAdditiveLiftedMulticutObjectiveUndirectedGridGraph3DSimpleNh
class nifty.graph.opt.lifted_multicut.LiftedMulticutAndresGreedyAdditiveSettingsTypeLiftedMulticutObjectiveUndirectedGraph
class nifty.graph.opt.lifted_multicut.LiftedMulticutAndresGreedyAdditiveSettingsTypeLiftedMulticutObjectiveUndirectedGridGraph2DSimpleNh
class nifty.graph.opt.lifted_multicut.LiftedMulticutAndresGreedyAdditiveSettingsTypeLiftedMulticutObjectiveUndirectedGridGraph3DSimpleNh
class nifty.graph.opt.lifted_multicut.LiftedMulticutAndresKernighanLinFactoryLiftedMulticutObjectiveUndirectedGraph
class nifty.graph.opt.lifted_multicut.LiftedMulticutAndresKernighanLinFactoryLiftedMulticutObjectiveUndirectedGridGraph2DSimpleNh
class nifty.graph.opt.lifted_multicut.LiftedMulticutAndresKernighanLinFactoryLiftedMulticutObjectiveUndirectedGridGraph3DSimpleNh
class nifty.graph.opt.lifted_multicut.LiftedMulticutAndresKernighanLinLiftedMulticutObjectiveUndirectedGraph
class nifty.graph.opt.lifted_multicut.LiftedMulticutAndresKernighanLinLiftedMulticutObjectiveUndirectedGridGraph2DSimpleNh
class nifty.graph.opt.lifted_multicut.LiftedMulticutAndresKernighanLinLiftedMulticutObjectiveUndirectedGridGraph3DSimpleNh
class nifty.graph.opt.lifted_multicut.LiftedMulticutAndresKernighanLinSettingsTypeLiftedMulticutObjectiveUndirectedGraph
epsilon
numberOfInnerIterations
numberOfOuterIterations
class nifty.graph.opt.lifted_multicut.LiftedMulticutAndresKernighanLinSettingsTypeLiftedMulticutObjectiveUndirectedGridGraph2DSimpleNh
epsilon
numberOfInnerIterations
numberOfOuterIterations
class nifty.graph.opt.lifted_multicut.LiftedMulticutAndresKernighanLinSettingsTypeLiftedMulticutObjectiveUndirectedGridGraph3DSimpleNh
epsilon
numberOfInnerIterations
numberOfOuterIterations
class nifty.graph.opt.lifted_multicut.LiftedMulticutBaseLiftedMulticutObjectiveUndirectedGraph
optimize()
class nifty.graph.opt.lifted_multicut.LiftedMulticutBaseLiftedMulticutObjectiveUndirectedGridGraph2DSimpleNh
optimize()
class nifty.graph.opt.lifted_multicut.LiftedMulticutBaseLiftedMulticutObjectiveUndirectedGridGraph3DSimpleNh
optimize()
class nifty.graph.opt.lifted_multicut.LiftedMulticutGreedyAdditiveFactoryLiftedMulticutObjectiveUndirectedGraph
class nifty.graph.opt.lifted_multicut.LiftedMulticutGreedyAdditiveFactoryLiftedMulticutObjectiveUndirectedGridGraph2DSimpleNh
class nifty.graph.opt.lifted_multicut.LiftedMulticutGreedyAdditiveFactoryLiftedMulticutObjectiveUndirectedGridGraph3DSimpleNh
class nifty.graph.opt.lifted_multicut.LiftedMulticutGreedyAdditiveLiftedMulticutObjectiveUndirectedGraph
class nifty.graph.opt.lifted_multicut.LiftedMulticutGreedyAdditiveLiftedMulticutObjectiveUndirectedGridGraph2DSimpleNh
class nifty.graph.opt.lifted_multicut.LiftedMulticutGreedyAdditiveLiftedMulticutObjectiveUndirectedGridGraph3DSimpleNh
class nifty.graph.opt.lifted_multicut.LiftedMulticutGreedyAdditiveSettingsTypeLiftedMulticutObjectiveUndirectedGraph
nodeNumStopCond
weightStopCond
class nifty.graph.opt.lifted_multicut.LiftedMulticutGreedyAdditiveSettingsTypeLiftedMulticutObjectiveUndirectedGridGraph2DSimpleNh
nodeNumStopCond
weightStopCond
class nifty.graph.opt.lifted_multicut.LiftedMulticutGreedyAdditiveSettingsTypeLiftedMulticutObjectiveUndirectedGridGraph3DSimpleNh
nodeNumStopCond
weightStopCond
class nifty.graph.opt.lifted_multicut.LiftedMulticutKernighanLinFactoryLiftedMulticutObjectiveUndirectedGraph
class nifty.graph.opt.lifted_multicut.LiftedMulticutKernighanLinFactoryLiftedMulticutObjectiveUndirectedGridGraph2DSimpleNh
class nifty.graph.opt.lifted_multicut.LiftedMulticutKernighanLinFactoryLiftedMulticutObjectiveUndirectedGridGraph3DSimpleNh
class nifty.graph.opt.lifted_multicut.LiftedMulticutKernighanLinLiftedMulticutObjectiveUndirectedGraph
class nifty.graph.opt.lifted_multicut.LiftedMulticutKernighanLinLiftedMulticutObjectiveUndirectedGridGraph2DSimpleNh
class nifty.graph.opt.lifted_multicut.LiftedMulticutKernighanLinLiftedMulticutObjectiveUndirectedGridGraph3DSimpleNh
class nifty.graph.opt.lifted_multicut.LiftedMulticutKernighanLinSettingsTypeLiftedMulticutObjectiveUndirectedGraph
epsilon
numberOfInnerIterations
numberOfOuterIterations
class nifty.graph.opt.lifted_multicut.LiftedMulticutKernighanLinSettingsTypeLiftedMulticutObjectiveUndirectedGridGraph2DSimpleNh
epsilon
numberOfInnerIterations
numberOfOuterIterations
class nifty.graph.opt.lifted_multicut.LiftedMulticutKernighanLinSettingsTypeLiftedMulticutObjectiveUndirectedGridGraph3DSimpleNh
epsilon
numberOfInnerIterations
numberOfOuterIterations
class nifty.graph.opt.lifted_multicut.LiftedMulticutObjectiveUndirectedGraph
static chainedSolversFactory(factories)

create an instance of ChainedSolversFactoryLiftedMulticutObjectiveUndirectedGraph

Chain multiple solvers such that each successor is warm-started with its predecessor solver.

Warning

The solvers should be able to be warm started.

Parameters:
  • weightStopCond (float) – stop clustering when the highest weight in cluster-graph is lower as this value (default: {0.0})
  • nodeNumStopCond – stop clustering when a cluster-graph reached a certain number of nodes. Numbers smaller 1 are interpreted as fraction of the graphs number of nodes. If nodeNumStopCond is smaller 0 this stopping condition is ignored (default: {-1})
Returns:

multicut factory
Return type:

ChainedSolversFactoryLiftedMulticutObjectiveUndirectedGraph
evalNodeLabels()
static fusionMoveBasedFactory(proposalGenerator=None, numberOfThreads=1, numberOfIterations=1000, stopIfNoImprovement=100)
factory function for a fusion move based lifted
multicut solver
Parameters:
  • proposalGenerator (None, optional) – Proposal generator (default watershedProposalGenerator)
  • numberOfThreads (int, optional) – (default 1)
  • numberOfIterations (int, optional) – Maximum number of iterations(default 1000)
  • stopIfNoImprovement (int, optional) – Stop after n iterations without improvement (default 100)
Returns:

Description
Return type:

TYPE
graph
insertLiftedEdgesBfs(maxDistance, returnDistance=False)
liftedGraph
static liftedMulticutAndresGreedyAdditiveFactory()
static liftedMulticutAndresKernighanLinFactory(numberOfOuterIterations=1000000, numberOfInnerIterations=100, epsilon=1e-07)
static liftedMulticutGreedyAdditiveFactory(weightStopCond=0.0, nodeNumStopCond=-1.0)
liftedMulticutIlpCplexFactory = functools.partial(<function __extendLiftedMulticutObj.<locals>.liftedMulticutIlpFactory>, ilpSolver='cplex')
static liftedMulticutIlpFactory(verbose=0, addThreeCyclesConstraints=True, addOnlyViolatedThreeCyclesConstraints=True, relativeGap=0.0, absoluteGap=0.0, memLimit=-1.0, ilpSolver='cplex')
liftedMulticutIlpGlpkFactory = functools.partial(<function __extendLiftedMulticutObj.<locals>.liftedMulticutIlpFactory>, ilpSolver='glpk')
liftedMulticutIlpGurobiFactory = functools.partial(<function __extendLiftedMulticutObj.<locals>.liftedMulticutIlpFactory>, ilpSolver='gurobi')
static liftedMulticutKernighanLinFactory(numberOfOuterIterations=1000000, numberOfInnerIterations=100, epsilon=1e-07)
liftedUvIds()
numberOfLiftedEdges
setCost()
setCosts()
setGraphEdgesCosts()
setLiftedEdgesCosts()
static verboseVisitor(visitNth=1)
static watershedProposalGenerator(sigma=1.0, numberOfSeeds=0.1, seedingStrategie='SEED_FROM_LIFTED')

factory function for a watershed based proposal generator for fusion move based lifted multicuts.

Parameters:
  • sigma (float, optional) – The weights are perturbed by a additive Gaussian noise n(0,sigma) (default 0.0)
  • numberOfSeeds (float, optional) – Number of seed to generate. A number smaller as one will be interpreted as a fraction of the number of nodes (default 0.1)
  • seedingStrategie (str, optional) –

    Can be: - ‘SEED_FROM_LIFTED’ : All negative weighted lifted edges

    can be used to generate seeds.
    • ’SEED_FROM_LOCAL’ : All negative weighted local edges
      can be used to generate seeds.
    • ’SEED_FROM_BOTH’ : Both, lifted and local edges

    can be used for seeding
Returns:

parameter object used construct a WatershedProposalGenerator
Return type:

TYPE
class nifty.graph.opt.lifted_multicut.LiftedMulticutObjectiveUndirectedGridGraph2DSimpleNh
static chainedSolversFactory(factories)

create an instance of ChainedSolversFactoryLiftedMulticutObjectiveUndirectedGridGraph2DSimpleNh

Chain multiple solvers such that each successor is warm-started with its predecessor solver.

Warning

The solvers should be able to be warm started.

Parameters:
  • weightStopCond (float) – stop clustering when the highest weight in cluster-graph is lower as this value (default: {0.0})
  • nodeNumStopCond – stop clustering when a cluster-graph reached a certain number of nodes. Numbers smaller 1 are interpreted as fraction of the graphs number of nodes. If nodeNumStopCond is smaller 0 this stopping condition is ignored (default: {-1})
Returns:

multicut factory
Return type:

ChainedSolversFactoryLiftedMulticutObjectiveUndirectedGridGraph2DSimpleNh
evalNodeLabels()
static fusionMoveBasedFactory(proposalGenerator=None, numberOfThreads=1, numberOfIterations=1000, stopIfNoImprovement=100)
factory function for a fusion move based lifted
multicut solver
Parameters:
  • proposalGenerator (None, optional) – Proposal generator (default watershedProposalGenerator)
  • numberOfThreads (int, optional) – (default 1)
  • numberOfIterations (int, optional) – Maximum number of iterations(default 1000)
  • stopIfNoImprovement (int, optional) – Stop after n iterations without improvement (default 100)
Returns:

Description
Return type:

TYPE
graph
insertLiftedEdgesBfs(maxDistance, returnDistance=False)
liftedGraph
static liftedMulticutAndresGreedyAdditiveFactory()
static liftedMulticutAndresKernighanLinFactory(numberOfOuterIterations=1000000, numberOfInnerIterations=100, epsilon=1e-07)
static liftedMulticutGreedyAdditiveFactory(weightStopCond=0.0, nodeNumStopCond=-1.0)
liftedMulticutIlpCplexFactory = functools.partial(<function __extendLiftedMulticutObj.<locals>.liftedMulticutIlpFactory>, ilpSolver='cplex')
static liftedMulticutIlpFactory(verbose=0, addThreeCyclesConstraints=True, addOnlyViolatedThreeCyclesConstraints=True, relativeGap=0.0, absoluteGap=0.0, memLimit=-1.0, ilpSolver='cplex')
liftedMulticutIlpGlpkFactory = functools.partial(<function __extendLiftedMulticutObj.<locals>.liftedMulticutIlpFactory>, ilpSolver='glpk')
liftedMulticutIlpGurobiFactory = functools.partial(<function __extendLiftedMulticutObj.<locals>.liftedMulticutIlpFactory>, ilpSolver='gurobi')
static liftedMulticutKernighanLinFactory(numberOfOuterIterations=1000000, numberOfInnerIterations=100, epsilon=1e-07)
liftedUvIds()
numberOfLiftedEdges
setCost()
setCosts()
setGraphEdgesCosts()
setLiftedEdgesCosts()
static verboseVisitor(visitNth=1)
static watershedProposalGenerator(sigma=1.0, numberOfSeeds=0.1, seedingStrategie='SEED_FROM_LIFTED')

factory function for a watershed based proposal generator for fusion move based lifted multicuts.

Parameters:
  • sigma (float, optional) – The weights are perturbed by a additive Gaussian noise n(0,sigma) (default 0.0)
  • numberOfSeeds (float, optional) – Number of seed to generate. A number smaller as one will be interpreted as a fraction of the number of nodes (default 0.1)
  • seedingStrategie (str, optional) –

    Can be: - ‘SEED_FROM_LIFTED’ : All negative weighted lifted edges

    can be used to generate seeds.
    • ’SEED_FROM_LOCAL’ : All negative weighted local edges
      can be used to generate seeds.
    • ’SEED_FROM_BOTH’ : Both, lifted and local edges

    can be used for seeding
Returns:

parameter object used construct a WatershedProposalGenerator
Return type:

TYPE
class nifty.graph.opt.lifted_multicut.LiftedMulticutObjectiveUndirectedGridGraph3DSimpleNh
static chainedSolversFactory(factories)

create an instance of ChainedSolversFactoryLiftedMulticutObjectiveUndirectedGridGraph2DSimpleNh

Chain multiple solvers such that each successor is warm-started with its predecessor solver.

Warning

The solvers should be able to be warm started.

Parameters:
  • weightStopCond (float) – stop clustering when the highest weight in cluster-graph is lower as this value (default: {0.0})
  • nodeNumStopCond – stop clustering when a cluster-graph reached a certain number of nodes. Numbers smaller 1 are interpreted as fraction of the graphs number of nodes. If nodeNumStopCond is smaller 0 this stopping condition is ignored (default: {-1})
Returns:

multicut factory
Return type:

ChainedSolversFactoryLiftedMulticutObjectiveUndirectedGridGraph2DSimpleNh
evalNodeLabels()
static fusionMoveBasedFactory(proposalGenerator=None, numberOfThreads=1, numberOfIterations=1000, stopIfNoImprovement=100)
factory function for a fusion move based lifted
multicut solver
Parameters:
  • proposalGenerator (None, optional) – Proposal generator (default watershedProposalGenerator)
  • numberOfThreads (int, optional) – (default 1)
  • numberOfIterations (int, optional) – Maximum number of iterations(default 1000)
  • stopIfNoImprovement (int, optional) – Stop after n iterations without improvement (default 100)
Returns:

Description
Return type:

TYPE
graph
insertLiftedEdgesBfs(maxDistance, returnDistance=False)
liftedGraph
static liftedMulticutAndresGreedyAdditiveFactory()
static liftedMulticutAndresKernighanLinFactory(numberOfOuterIterations=1000000, numberOfInnerIterations=100, epsilon=1e-07)
static liftedMulticutGreedyAdditiveFactory(weightStopCond=0.0, nodeNumStopCond=-1.0)
liftedMulticutIlpCplexFactory = functools.partial(<function __extendLiftedMulticutObj.<locals>.liftedMulticutIlpFactory>, ilpSolver='cplex')
static liftedMulticutIlpFactory(verbose=0, addThreeCyclesConstraints=True, addOnlyViolatedThreeCyclesConstraints=True, relativeGap=0.0, absoluteGap=0.0, memLimit=-1.0, ilpSolver='cplex')
liftedMulticutIlpGlpkFactory = functools.partial(<function __extendLiftedMulticutObj.<locals>.liftedMulticutIlpFactory>, ilpSolver='glpk')
liftedMulticutIlpGurobiFactory = functools.partial(<function __extendLiftedMulticutObj.<locals>.liftedMulticutIlpFactory>, ilpSolver='gurobi')
static liftedMulticutKernighanLinFactory(numberOfOuterIterations=1000000, numberOfInnerIterations=100, epsilon=1e-07)
liftedUvIds()
numberOfLiftedEdges
setCost()
setCosts()
setGraphEdgesCosts()
setLiftedEdgesCosts()
static verboseVisitor(visitNth=1)
static watershedProposalGenerator(sigma=1.0, numberOfSeeds=0.1, seedingStrategie='SEED_FROM_LIFTED')

factory function for a watershed based proposal generator for fusion move based lifted multicuts.

Parameters:
  • sigma (float, optional) – The weights are perturbed by a additive Gaussian noise n(0,sigma) (default 0.0)
  • numberOfSeeds (float, optional) – Number of seed to generate. A number smaller as one will be interpreted as a fraction of the number of nodes (default 0.1)
  • seedingStrategie (str, optional) –

    Can be: - ‘SEED_FROM_LIFTED’ : All negative weighted lifted edges

    can be used to generate seeds.
    • ’SEED_FROM_LOCAL’ : All negative weighted local edges
      can be used to generate seeds.
    • ’SEED_FROM_BOTH’ : Both, lifted and local edges

    can be used for seeding
Returns:

parameter object used construct a WatershedProposalGenerator
Return type:

TYPE
class nifty.graph.opt.lifted_multicut.LiftedMulticutVerboseVisitorLiftedMulticutObjectiveUndirectedGraph
stopOptimize()
class nifty.graph.opt.lifted_multicut.LiftedMulticutVerboseVisitorLiftedMulticutObjectiveUndirectedGridGraph2DSimpleNh
stopOptimize()
class nifty.graph.opt.lifted_multicut.LiftedMulticutVerboseVisitorLiftedMulticutObjectiveUndirectedGridGraph3DSimpleNh
stopOptimize()
class nifty.graph.opt.lifted_multicut.LiftedMulticutVisitorBaseLiftedMulticutObjectiveUndirectedGraph
class nifty.graph.opt.lifted_multicut.LiftedMulticutVisitorBaseLiftedMulticutObjectiveUndirectedGridGraph2DSimpleNh
class nifty.graph.opt.lifted_multicut.LiftedMulticutVisitorBaseLiftedMulticutObjectiveUndirectedGridGraph3DSimpleNh
class nifty.graph.opt.lifted_multicut.PixelWiseLmcConnetedComponentsFusion2D
fuse()
class nifty.graph.opt.lifted_multicut.PixelWiseLmcConnetedComponentsFusion3D
fuse()
class nifty.graph.opt.lifted_multicut.PixelWiseLmcObjective(weights, offsets)
cpp_obj()
evaluate(labels)
optimize(factory, labels=None)
class nifty.graph.opt.lifted_multicut.PixelWiseLmcObjective2D
evaluate()
optimize()
shape
class nifty.graph.opt.lifted_multicut.PixelWiseLmcObjective3D
evaluate()
optimize()
shape
class nifty.graph.opt.lifted_multicut.ProposalGeneratorFactoryBaseLiftedMulticutObjectiveUndirectedGraph
class nifty.graph.opt.lifted_multicut.ProposalGeneratorFactoryBaseLiftedMulticutObjectiveUndirectedGridGraph2DSimpleNh
class nifty.graph.opt.lifted_multicut.ProposalGeneratorFactoryBaseLiftedMulticutObjectiveUndirectedGridGraph3DSimpleNh
class nifty.graph.opt.lifted_multicut.SolverFactoryBaseLiftedMulticutObjectiveUndirectedGraph
create()
class nifty.graph.opt.lifted_multicut.SolverFactoryBaseLiftedMulticutObjectiveUndirectedGridGraph2DSimpleNh
create()
class nifty.graph.opt.lifted_multicut.SolverFactoryBaseLiftedMulticutObjectiveUndirectedGridGraph3DSimpleNh
create()
class nifty.graph.opt.lifted_multicut.WatershedProposalGeneratorFactoryLiftedMulticutObjectiveUndirectedGraph
class nifty.graph.opt.lifted_multicut.WatershedProposalGeneratorFactoryLiftedMulticutObjectiveUndirectedGridGraph2DSimpleNh
class nifty.graph.opt.lifted_multicut.WatershedProposalGeneratorFactoryLiftedMulticutObjectiveUndirectedGridGraph3DSimpleNh
class nifty.graph.opt.lifted_multicut.WatershedProposalGeneratorSettingsTypeLiftedMulticutObjectiveUndirectedGraph
class SeedingStrategie
SEED_FROM_BOTH = SeedingStrategie.SEED_FROM_BOTH
SEED_FROM_LIFTED = SeedingStrategie.SEED_FROM_LIFTED
SEED_FROM_LOCAL = SeedingStrategie.SEED_FROM_LOCAL
numberOfSeeds
seedingStrategie
sigma
class nifty.graph.opt.lifted_multicut.WatershedProposalGeneratorSettingsTypeLiftedMulticutObjectiveUndirectedGridGraph2DSimpleNh
class SeedingStrategie
SEED_FROM_BOTH = SeedingStrategie.SEED_FROM_BOTH
SEED_FROM_LIFTED = SeedingStrategie.SEED_FROM_LIFTED
SEED_FROM_LOCAL = SeedingStrategie.SEED_FROM_LOCAL
numberOfSeeds
seedingStrategie
sigma
class nifty.graph.opt.lifted_multicut.WatershedProposalGeneratorSettingsTypeLiftedMulticutObjectiveUndirectedGridGraph3DSimpleNh
class SeedingStrategie
SEED_FROM_BOTH = SeedingStrategie.SEED_FROM_BOTH
SEED_FROM_LIFTED = SeedingStrategie.SEED_FROM_LIFTED
SEED_FROM_LOCAL = SeedingStrategie.SEED_FROM_LOCAL
numberOfSeeds
seedingStrategie
sigma