def test(self, e): #测试用 """global _WaitingHandler if _WaitingHandler: _WaitingHandler.Hide() else: _WaitingHandler=_ct.WaitingFrame(self.parent)""" #ss=self.Sizer #ss.Add(ImContainer(self, 'label', self.paths[0])) #self.Init() #print e.GetEventHandler() #print len(ss.GetChildren()) for c in self.Sizer.GetChildren(): si=c.GetWindow().image #print type(si.GetData()) arr=_dp.cvtImObject(si) arr=_dp.adjustImSize(arr, (1000,650)) cv2.imshow('test', arr) break
def fuzzy_recognition(self, e=None): img=cv2.imread(self._image_path) self._image=_dp.cvtImObject(img) self.initBuffer()
def pre_processing(self, e=None): img=_dp.cvtImObject(self._image) cv2.imshow('cv2_show', img)