def matchingChars(possibleC, possibleChars):
listOfMatchingChars = []
for possibleMatchingChar in possibleChars:
if possibleMatchingChar == possibleC:
continue
distanceBetweenChars = Tools.distanceBetweenChars(
possibleC, possibleMatchingChar)
angleBetweenChars = Tools.angleBetweenChars(
possibleC, possibleMatchingChar)
changeInArea = float(
abs(possibleMatchingChar.boundingRectArea -
possibleC.boundingRectArea)) / float(
possibleC.boundingRectArea)
changeInWidth = float(
abs(possibleMatchingChar.boundingRectWidth -
possibleC.boundingRectWidth)) / float(
possibleC.boundingRectWidth)
changeInHeight = float(
abs(possibleMatchingChar.boundingRectHeight -
possibleC.boundingRectHeight)) / float(
possibleC.boundingRectHeight)
if distanceBetweenChars < (possibleC.diagonalSize * 5) and \
angleBetweenChars < 12.0 and \
changeInArea < 0.5 and \
changeInWidth < 0.8 and \
changeInHeight < 0.2:
listOfMatchingChars.append(possibleMatchingChar)
return listOfMatchingChars
listOfMatchingChars[0].boundingRectX) * 1.3)
totalOfCharHeights = 0
for matchingChar in listOfMatchingChars:
totalOfCharHeights = totalOfCharHeights + matchingChar.boundingRectHeight
averageCharHeight = totalOfCharHeights / len(listOfMatchingChars)
plateHeight = int(averageCharHeight * 1.5)
opposite = listOfMatchingChars[len(listOfMatchingChars) -
1].centerY - listOfMatchingChars[0].centerY
hypotenuse = Tools.distanceBetweenChars(
listOfMatchingChars[0],
listOfMatchingChars[len(listOfMatchingChars) - 1])
correctionAngleInRad = math.asin(opposite / hypotenuse)
correctionAngleInDeg = correctionAngleInRad * (180.0 / math.pi)
possiblePlate.rrLocationOfPlateInScene = (tuple(plateCenter),
(plateWidth, plateHeight),
correctionAngleInDeg)
rotationMatrix = cv2.getRotationMatrix2D(tuple(plateCenter),
correctionAngleInDeg, 1.0)
height, width, numChannels = img.shape
imgRotated = cv2.warpAffine(img, rotationMatrix, (width, height))