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 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