def findPossibleCharsInPlate(imgGrayscale, imgThresh):
listOfPossibleChars = []
contours = []
imgThreshCopy = imgThresh.copy()
contours, npaHierarchy = cv2.findContours(imgThreshCopy, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)
for contour in contours:
possibleChar = total_char.PossibleChar(contour)
if checkIfPossibleChar(possibleChar):
listOfPossibleChars.append(possibleChar)
return listOfPossibleChars
def findPossibleCharsInScene(imgThresh):
listOfPossibleChars = []
intCountOfPossibleChars = 0
imgThreshCopy = imgThresh.copy()
imgContours, contours, npaHierarchy = cv2.findContours(
imgThreshCopy, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)
height, width = imgThresh.shape
imgContours = np.zeros((height, width, 3), np.uint8)
for i in range(0, len(contours)):
if product.showSteps == True:
cv2.drawContours(imgContours, contours, i, product.SCALAR_WHITE)
possibleChar = total_char.PossibleChar(contours[i])
if char_detection.checkIfPossibleChar(possibleChar):
intCountOfPossibleChars = intCountOfPossibleChars + 1
listOfPossibleChars.append(possibleChar)
if product.showSteps == True:
print("\nstep 2 - len(contours) = " + str(len(contours)))
print("step 2 - intCountOfPossibleChars = " +
str(intCountOfPossibleChars))
cv2.imshow("2a", imgContours)
return listOfPossibleChars