def generateSymbol(self, matrix, maxIterations=20, movieFilename=None):
self.matrix = matrix[:]
self._matrixWidth = len(self.matrix)
mainQuadrant = _Quadrant(quadrantWidth=self._matrixWidth,
leftCoordinate=0,
topCoordinate=0)
self.initialEntropy = self.__calcEntropy(mainQuadrant)
self._maxIterations = maxIterations
self._imageFrame = 0
self._movieFilename = movieFilename
if self._movieFilename is not None:
self._imageFileNamePrefix = self._movieFilename
exputils.writeMatrixImage(matrix=self.matrix,
filename=self._imageFileNamePrefix +
str(self._imageFrame).zfill(5) + ".png")
self._imageFrame = self._imageFrame + 1
self.finalEntropy = self.__process(quadrant=mainQuadrant)
if self._movieFilename is not None:
exputils.generateMovie(
pngFilenamePattern=self._imageFileNamePrefix + "*.png",
outputFilename=self._movieFilename,
fps=5)
entropy["entropy"]) + " me = " + str(entropy["metricEntropy"])
unflattenedInput = exputils.unflattenArray(flatInput, inputWidth)
if generateOutputMovie:
exputils.writeMatrixImage(
unflattenedInput, outputImagePrefix + str(cycle).zfill(5) + ".png")
spatialPoolerOutput = numpy.zeros(shape=flatInputLength, dtype="int32")
spatialPooler.compute(inputVector=flatInput,
learn=True,
activeArray=spatialPoolerOutput)
#print "Spatial Pooler output from input: "
#print exputils.vectorToString(spatialPoolerOutput)
#print "\n"
temporalPooler.compute(bottomUpInput=spatialPoolerOutput,
enableLearn=True,
computeInfOutput=True)
predictedCells = temporalPooler.getPredictedState()
#exputils.printPredictedCells(predictedCells)
predictionVector = exputils.getPredictionVector(predictedCells)
#print "-" * len(predictionVector)
#print exputils.vectorToString(predictionVector)
#print "Transformed flat input: "
#print exputils.vectorToString(flatInput)
applyTransform(flatInput, predictionVector)
#print exputils.vectorToString(flatInput)
if generateOutputMovie:
exputils.generateMovie(outputImageMask, outputImagePrefix + "movie.gif")