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()
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/final_annealing_",'Annealed Floorplan - Area Only')
# Anneal - Consider area and connections
length = len(rectangles)
lambdas = copy(matrix)
costParameters = classes.CostParameters(np.ones((length,length)),0.5,2,lambdas,dictionary)
# Curry cost function
def newCost(inRoot):
#return metrics.costWithLamdas(rectangles, costParameters)
return metrics.costWithLamdasFromRoot(inRoot, costParameters)
anneal(dataset, annealingParameters,newCost,"Output/final_annealingNewCost_",'Annealed Floorplan - Area and Connections')
alignImages.createImagesForFinal('Output/final_annealing_','Output/final_annealingNewCost_','Output/Final Comparison_')
import annealer
import classes
import metrics
import numpy as np
dataset = 'ami33'
annealingParameters = classes.AnnealingParameters(100, .85, 5, .05, 1, 1)
(root, rectangles, dictionary,
matrix) = annealer.anneal(dataset, annealingParameters, metrics.costArea)
#print(dictionary)
#print("\n\nConnections Matrix\n\n")
#print(matrix)
f = np.zeros((len(rectangles), len(rectangles)))
for i in range(len(rectangles)):
for j in range(len(rectangles)):
f[i][j] = 1
#print f[i][j],
#print ('\n')
#print(rectangles[0].x)
costParameters = classes.CostParameters(f, 0.75, 1, matrix)
final_cost = metrics.costWithLamdas(rectangles, costParameters)
print final_cost
import annealer
import classes
import metrics
import numpy as np
dataset = 'ami33'
annealingParameters = classes.AnnealingParameters(100,.85,5,.05,1,1)
(root, rectangles, dictionary, matrix) = annealer.anneal(dataset, annealingParameters,metrics.costArea)
#print(dictionary)
#print("\n\nConnections Matrix\n\n")
#print(matrix)
f = np.zeros((len(rectangles),len(rectangles)))
for i in range (len(rectangles)):
for j in range (len(rectangles)):
f[i][j] = 1
#print f[i][j],
#print ('\n')
#print(rectangles[0].x)
costParameters = classes.CostParameters(f,0.75,1,matrix)
final_cost = metrics.costWithLamdas(rectangles, costParameters)
print final_cost
