def plateRecognize(inMat):
PlateLocater.m_debug = False
CharsIndentifier.m_debug = False
Result = PlateLocater.fuzzyLocate(inMat)
if m_debug:
print '候选车牌数量：',len(Result)
index_loc = 0
for img in Result:
index_loc += 1
cv2.imshow("候选车牌"+str(index_loc),img)
cv2.waitKey(0)
cv2.destroyAllWindows()
resultVec = PlateJudger.platesJudge(Result)
if m_debug:
print 'SVM筛选后的车牌数量：',len(resultVec)
index_loc = 0
for img in resultVec:
index_loc += 1
cv2.imshow("SVM-"+str(index_loc),img)
cv2.imwrite("debug/SVM-"+str(index_loc)+".jpg", img)
cv2.waitKey(0)
cv2.destroyAllWindows()
lisences = list()
for img_plate in resultVec:
segmented = CharsSegmenter.charsSegment(img_plate)
if m_debug:
index_char = 0
for char in segmented:
index_char += 1
cv2.imshow("chars_segment"+str(index_char), char)
cv2.imwrite("debug/segmented-"+str(index_char)+".jpg", char)
cv2.waitKey(0)
cv2.destroyAllWindows()
lisence = CharsIndentifier.identifyPlate(segmented)
# print lisence
lisences.append(lisence)
return lisences
def test_chars_segment():
print "test_chars_segment"
img_plate = cv2.imread("resources/image/chars_segment.jpg",cv2.IMREAD_COLOR)
cv2.imshow("test",img_plate)
# print cv2.countNonZero(img_plate[:,:,0])
# print img_plate.shape[0],img_plate.shape[1],img_plate.shape[1]*img_plate.shape[0]
# cv2.waitKey(0)
# cv2.destroyAllWindows()
segmented = CharsSegmenter.charsSegment(img_plate)
index_char = 0
for char in segmented:
index_char += 1
cv2.imshow("chars_segment"+str(index_char), char)
cv2.waitKey(0)
cv2.destroyAllWindows()
def test_chars_segment():
print "test_chars_segment"
img_plate = cv2.imread("resources/image/chars_segment.jpg",
cv2.IMREAD_COLOR)
cv2.imshow("test", img_plate)
# print cv2.countNonZero(img_plate[:,:,0])
# print img_plate.shape[0],img_plate.shape[1],img_plate.shape[1]*img_plate.shape[0]
# cv2.waitKey(0)
# cv2.destroyAllWindows()
segmented = CharsSegmenter.charsSegment(img_plate)
index_char = 0
for char in segmented:
index_char += 1
cv2.imshow("chars_segment" + str(index_char), char)
cv2.waitKey(0)
cv2.destroyAllWindows()
def test_chars_identify():
print "test_chars_identify"
img_plate = cv2.imread("resources/image/chars_identify.jpg",cv2.IMREAD_COLOR)
# 车牌分割
segmented = CharsSegmenter.charsSegment(img_plate)
licence = ''
CharsIndentifier.initModel()
for index, char in enumerate(segmented):
print 'char:'
print char
# licence += CharsIndentifier.identify(char)
char_feature = CharsIndentifier.features(char,kPredictSize)
if index == 0:
char_text = CharsIndentifier.identifyChinese(char_feature)
else:
char_text = CharsIndentifier.identifyDigitLetter(char_feature)
licence += char_text
print "识别结果:"
print licence
def test_chars_identify():
print "test_chars_identify"
img_plate = cv2.imread("resources/image/chars_identify.jpg",
cv2.IMREAD_COLOR)
# 车牌分割
segmented = CharsSegmenter.charsSegment(img_plate)
licence = ''
CharsIndentifier.initModel()
for index, char in enumerate(segmented):
print 'char:'
print char
# licence += CharsIndentifier.identify(char)
char_feature = CharsIndentifier.features(char, kPredictSize)
if index == 0:
char_text = CharsIndentifier.identifyChinese(char_feature)
else:
char_text = CharsIndentifier.identifyDigitLetter(char_feature)
licence += char_text
print "识别结果:"
print licence
