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)