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_plate_locate():
PlateLocater.m_debug = False
rootdir = "resources/easy_test"
print 'test_plate_locate'
for parent,dirnames,filenames in os.walk(rootdir):
index_file = 0
print filenames
for filename in filenames:
cv2.destroyAllWindows()
index_file += 1
imgPlate = cv2.imread(os.path.join(parent,filename),cv2.IMREAD_COLOR)
print '文件名:',filename.split('.')[0]
cv2.imshow("原图",imgPlate)
Result = PlateLocater.fuzzyLocate(imgPlate)
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)
resultVec = PlateJudger.platesJudge(Result)
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.waitKey(0)
if index_file >20:
break
def test_plate_locate():
PlateLocater.m_debug = False
rootdir = "resources/easy_test"
print 'test_plate_locate'
for parent, dirnames, filenames in os.walk(rootdir):
index_file = 0
print filenames
for filename in filenames:
cv2.destroyAllWindows()
index_file += 1
imgPlate = cv2.imread(os.path.join(parent, filename),
cv2.IMREAD_COLOR)
print '文件名:', filename.split('.')[0]
cv2.imshow("原图", imgPlate)
Result = PlateLocater.fuzzyLocate(imgPlate)
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)
resultVec = PlateJudger.platesJudge(Result)
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.waitKey(0)
if index_file > 20:
break
