def analyzeAllBenchmarksAreaOnly():
for dataset in utils.benchmarks:
(root, rectangles, dictionary, matrix) = initializeMatchPairs(dataset)
anneal(dataset, annealingParameters,metrics.costArea)
alignImages.createImages('Output/initialMatchPairs_','Output/annealing_','Output/Comparison of Initial to Annealed (area cost)_')
#analyzeAllBenchmarksAreaOnly()
def analyzeAllBenchmarks():
for dataset in utils.benchmarks:
# Initial Floorplan
(root, rectangles, dictionary, matrix) = initializeMatchPairs(dataset)
# Anneal - Consider area only
anneal(dataset, annealingParameters, metrics.costArea,
"Output/annealing_", 'Annealed Floorplan - Area Only')
# Anneal - Consider area and connections
length = len(rectangles)
lambdas = copy(matrix)
costParameters = classes.CostParameters(np.ones((length, length)), 0.5,
1, lambdas, dictionary)
# Curry cost function
def newCost(inRoot):
#return metrics.costWithLamdas(rectangles, costParameters)
return metrics.costWithLamdasFromRoot(inRoot, costParameters)
anneal(dataset, annealingParameters, newCost,
"Output/annealingNewCost_",
'Annealed Floorplan - Area and Connections')
alignImages.createImages(
'Output/initialMatchPairs_', 'Output/annealing_',
'Output/annealingNewCost_',
'Output/Comparison of Initial to Annealed (Area and All)_')
def analyzeAllBenchmarksAreaOnly():
for dataset in utils.benchmarks:
(root, rectangles, dictionary, matrix) = initializeMatchPairs(dataset)
anneal(dataset, annealingParameters, metrics.costArea)
alignImages.createImages(
'Output/initialMatchPairs_', 'Output/annealing_',
'Output/Comparison of Initial to Annealed (area cost)_')
#analyzeAllBenchmarksAreaOnly()
