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