def main():
suspectList = downloadList.getList()
print(suspectList)
reportedList = []
gpsString = getGps.get()
gpsdata = gpsString.split(',')
print('size of gps data:{}').format(len(gpsdata))
print('GPS:{}').format(gpsString)
blnKNNTrainingSuccessful = DetectChars.loadKNNDataAndTrainKNN(
) # attempt KNN training
if blnKNNTrainingSuccessful == False: # if KNN training was not successful
print "\nerror: KNN traning was not successful\n" # show error message
return # and exit program
# end if
nCount = 0
cap = cv2.VideoCapture('TESTB4.avi')
while (cap.isOpened()):
#if ((cap.get(cv2.CAP_PROP_POS_FRAMES) + 1) < cap.get(cv2.CV_CAP_PROP_FRAME_COUNT)) : # if there is at least one more frame
if ((cap.get(1) + 1) <
cap.get(7) - 90): # if there is at least one more frame
ret, imgOriginalScene = cap.read() # read it
else:
print('end of avi')
break
#ret, imgOriginalScene = cap.read()
nCount = nCount + 1
if nCount > 1:
nCount = 0
# if imgOriginalScene is None: # if image was not read successfully
# print "\nerror: image not read from file \n\n" # print error message to std out
# os.system("pause") # pause so user can see error message
# return # and exit program
# #end if
listOfPossiblePlates = DetectPlates.detectPlatesInScene2(
imgOriginalScene) # detect plates
listOfPossiblePlates = DetectChars.detectCharsInPlates(
listOfPossiblePlates) # detect chars in plates
if len(listOfPossiblePlates) == 0: # if no plates were found
## print "\nno license plates were detected\n" # inform user no plates were found
cv2.imshow("imgOriginalScene",
imgOriginalScene) # show scene image
else: # else
# if we get in here list of possible plates has at leat one plate
# sort the list of possible plates in DESCENDING order (most number of chars to least number of chars)
listOfPossiblePlates.sort(
key=lambda possiblePlate: len(possiblePlate.strChars),
reverse=True)
# suppose the plate with the most recognized chars (the first plate in sorted by string length descending order) is the actual plate
licPlate = listOfPossiblePlates[0]
if len(licPlate.strChars) < 9:
continue
#cv2.imshow("imgPlate", licPlate.imgPlate) # show crop of plate and threshold of plate
#cv2.imshow("imgThresh", licPlate.imgThresh)
# if len(licPlate.strChars) == 0: # if no chars were found in the plate
# print "\nno characters were detected\n\n" # show message
# return # and exit program
# end if
drawRedRectangleAroundPlate(
imgOriginalScene,
licPlate) # draw red rectangle around plate
print "----------------------------------------"
print "license plate = " + licPlate.strChars # write license plate text to std out
print "----------------------------------------"
cv2.imshow("imgOriginalScene",
imgOriginalScene) # re-show scene image
###번호판 대조#############################################################
strIndex = suspectList.find(licPlate.strChars.decode('utf-8'))
##########################################################################
#print('strIndex:{}').format(strIndex)
if strIndex > -1 and licPlate.strChars not in reportedList:
reportedList.append(licPlate.strChars)
fName = licPlate.strChars[-4:] + ".IMG.jpg"
cv2.imwrite(fName,
imgOriginalScene) # write image out to file
if len(gpsdata) == 4:
tempString = gpsString
else:
tempString = '2017.09.26,07:12:48.012,37.504342,127.036213\n'
carPos.write(tempString, licPlate.strChars)
uploadFiles.upload(licPlate.strChars[-4:])
if licPlate.strChars in reportedList:
print('reported already\n')
cv2.waitKey(90)
k = cv2.waitKey(0) & 0xff
if k == 27:
cap.release()
cv2.destroyAllWindows()
return
def main():
suspectList = downloadList.getList()
reportedList = []
blnKNNTrainingSuccessful = DetectChars.loadKNNDataAndTrainKNN(
) # attempt KNN training
if blnKNNTrainingSuccessful == False: # if KNN training was not successful
print "\nerror: KNN traning was not successful\n" # show error message
return # and exit program
# end if
imgOriginalScene = cv2.imread("a7.jpg") # open image
if imgOriginalScene is None: # if image was not read successfully
print "\nerror: image not read from file \n\n" # print error message to std out
os.system("pause") # pause so user can see error message
return # and exit program
# end if
listOfPossiblePlates = DetectPlates.detectPlatesInScene2(
imgOriginalScene) # detect plates
listOfPossiblePlates = DetectChars.detectCharsInPlates(
listOfPossiblePlates) # detect chars in plates
#cv2.imshow("imgOriginalScene", imgOriginalScene) # show scene image
if len(listOfPossiblePlates) == 0: # if no plates were found
print "\nno license plates were detected\n" # inform user no plates were found
else: # else
# if we get in here list of possible plates has at leat one plate
# sort the list of possible plates in DESCENDING order (most number of chars to least number of chars)
listOfPossiblePlates.sort(
key=lambda possiblePlate: len(possiblePlate.strChars),
reverse=True)
# suppose the plate with the most recognized chars (the first plate in sorted by string length descending order) is the actual plate
licPlate = listOfPossiblePlates[0]
#cv2.imshow("imgPlate", licPlate.imgPlate) # show crop of plate and threshold of plate
#cv2.imshow("imgThresh", licPlate.imgThresh)
if len(licPlate.strChars) == 0: # if no chars were found in the plate
print "\nno characters were detected\n\n" # show message
return # and exit program
# end if
drawRedRectangleAroundPlate(
imgOriginalScene, licPlate) # draw red rectangle around plate
print "\nlicense plate read from image = " + licPlate.strChars + "\n" # write license plate text to std out
print "----------------------------------------"
cv2.imshow("imgOriginalScene", imgOriginalScene) # re-show scene image
###번호판 대조#############################################################
strIndex = suspectList.find(licPlate.strChars.decode('utf-8'))
##########################################################################
if strIndex > -1 and licPlate.strChars not in reportedList:
reportedList.append(licPlate.strChars)
fName = licPlate.strChars[-4:] + ".IMG.jpg"
cv2.imwrite(fName, imgOriginalScene) # write image out to file
tempString = '2017.09.26,07:12:48.012,37.504342,127.036213'
tempString = tempString + '\n'
#gpsString = getGps.get() #for raspberry pi
carPos.write(tempString, licPlate.strChars)
uploadFiles.upload(licPlate.strChars[-4:])
if licPlate.strChars in reportedList:
print('reported already')
# end if else
cv2.waitKey(0) # hold windows open until user presses a key
return
# clear the stream in preparation for the next frame
rawCapture.truncate(0)
nCount = nCount + 1
if nCount > 1:
nCount = 0
imgOriginalScene = image.copy()
# if imgOriginalScene is None: # if image was not read successfully
# print "\nerror: image not read from file \n\n" # print error message to std out
# os.system("pause") # pause so user can see error message
# return # and exit program
# #end if
listOfPossiblePlates = DetectPlates.detectPlatesInScene2(imgOriginalScene) # detect plates
listOfPossiblePlates = DetectChars.detectCharsInPlates(listOfPossiblePlates) # detect chars in plates
if len(listOfPossiblePlates) == 0: # if no plates were found
print "\nno license plates were detected\n" # inform user no plates were found
cv2.imshow("imgOriginalScene", imgOriginalScene) # show scene image
else: # else
# if we get in here list of possible plates has at leat one plate
# sort the list of possible plates in DESCENDING order (most number of chars to least number of chars)
listOfPossiblePlates.sort(key = lambda possiblePlate: len(possiblePlate.strChars), reverse = True)
# suppose the plate with the most recognized chars (the first plate in sorted by string length descending order) is the actual plate
licPlate = listOfPossiblePlates[0]
