def main():
accumulatedAcurady = 0.0
numberLaps = 1
hiddenLayers = 50
outPutUnits = 24
inputUnits = 400
trainPorcentage = .8
testPorcentage = .2
objecT = []
for i in range(numberLaps):
ann = NeuralNetwork('nuevo', inputUnits, hiddenLayers,outPutUnits,testPorcentage,trainPorcentage)
ann.loadImages()
objecT.append( ann.runAnn() )
totalAccuracy = 0.0
falseNegatives = 0.0
truePositives = 0.0
trueNegatives = 0.0
falsePositives = 0.0
for lap in objecT :
print "Accuracy: " + str(round(lap[0],2)) + " \t| TP: " + str(lap[1]) + " \t| " + "FN: " + str(lap[2]) + "\t | FP " + str(lap[3]) + "\t | TN: " + str(lap[4]/5)
totalAccuracy += lap[0]
truePositives += lap[1]
falseNegatives += lap[2]
falsePositives += lap[3]
trueNegatives += lap[4]
print("\n\nAverage Accuracy after " + str(numberLaps) + " Laps:" )
print(totalAccuracy/numberLaps)
