def generateImageArrayNum(imageId): matchesNum, matchesMean = getMathes(imageId) matchesNum = matchesNum[:24] imageArrayNum = emptyNum r = 0 c = 0 for row in hardCodedArray: c = 0 for col in row: if col == 0: centralImage = imagesHandler.getImage(imageId) imageArrayNum[r][c] = centralImage else: # print 'pos:', r,c, 'id ', col-1 # print 'pos:', r,c, 'is getting image ', str(matchesNum[col-1][1]) imgNum = imagesHandler.getImage(str(matchesNum[col - 1][1])) imageArrayNum[r][c] = imgNum c = c + 1 r = r + 1 return imageArrayNum
def generateImageArrayMean(imageId): matchesNum, matchesMean = getMathes(imageId) imageArrayMean = emptyMean r = 0 c = 0 for row in hardCodedArray: c = 0 for col in row: print col if col == 0: centralImage = imagesHandler.getImage(imageId) imageArrayMean[r][c] = centralImage else: print "pos:", r, c, "is getting image ", str(matchesMean[col - 1][1]) imgMean = imagesHandler.getImage(str(matchesMean[col - 1][1])) imageArrayMean[r][c] = imgMean c = c + 1 r = r + 1 return imageArrayMean
def generateImageArrayMean(imageId): matchesNum, matchesMean = getMathes(imageId) imageArrayMean = emptyMean r = 0 c = 0 for row in hardCodedArray: c = 0 for col in row: print col if col == 0: centralImage = imagesHandler.getImage(imageId) imageArrayMean[r][c] = centralImage else: print 'pos:', r, c, 'is getting image ', str(matchesMean[col - 1][1]) imgMean = imagesHandler.getImage(str(matchesMean[col - 1][1])) imageArrayMean[r][c] = imgMean c = c + 1 r = r + 1 return imageArrayMean