Python高效率处理图像显示图像方案

def Work_thread(self):
        # ch:创建显示的窗口 | en:Create the window for display
        cv2.namedWindow(str(self.n_win_gui_id),0)
        cv2.resizeWindow(str(self.n_win_gui_id), 500, 500)
        stFrameInfo = MV_FRAME_OUT_INFO_EX()  
        img_buff = None
        while True:
            ret = self.obj_cam.MV_CC_GetOneFrameTimeout(byref(self.buf_cache), self.n_payload_size, stFrameInfo, 1000)
            if ret == 0:
                #获取到图像的时间开始节点获取到图像的时间开始节点
                self.st_frame_info = stFrameInfo
                print ("get one frame: Width[%d], Height[%d], nFrameNum[%d]"  % (self.st_frame_info.nWidth, self.st_frame_info.nHeight, self.st_frame_info.nFrameNum))
                self.n_save_image_size = self.st_frame_info.nWidth * self.st_frame_info.nHeight * 3 + 2048
                if img_buff is None:
                    img_buff = (c_ubyte * self.n_save_image_size)()
                
                if True == self.b_save_jpg:
                    self.Save_jpg() #ch:保存Jpg图片 | en:Save Jpg
                if self.buf_save_image is None:
                    self.buf_save_image = (c_ubyte * self.n_save_image_size)()

                stParam = MV_SAVE_IMAGE_PARAM_EX()
                stParam.enImageType = MV_Image_Bmp;                                        # ch:需要保存的图像类型 | en:Image format to save
                stParam.enPixelType = self.st_frame_info.enPixelType                               # ch:相机对应的像素格式 | en:Camera pixel type
                stParam.nWidth      = self.st_frame_info.nWidth                                    # ch:相机对应的宽 | en:Width
                stParam.nHeight     = self.st_frame_info.nHeight                                   # ch:相机对应的高 | en:Height
                stParam.nDataLen    = self.st_frame_info.nFrameLen
                stParam.pData       = cast(self.buf_cache, POINTER(c_ubyte))
                stParam.pImageBuffer =  cast(byref(self.buf_save_image), POINTER(c_ubyte)) 
                stParam.nBufferSize = self.n_save_image_size                                 # ch:存储节点的大小 | en:Buffer node size
                stParam.nJpgQuality     = 80;                                                # ch:jpg编码，仅在保存Jpg图像时有效。保存BMP时SDK内忽略该参数
                if True == self.b_save_bmp:
                    self.Save_Bmp() #ch:保存Bmp图片 | en:Save Bmp
            else:
                continue

            #转换像素结构体赋值
            stConvertParam = MV_CC_PIXEL_CONVERT_PARAM()
            memset(byref(stConvertParam), 0, sizeof(stConvertParam))
            stConvertParam.nWidth = self.st_frame_info.nWidth
            stConvertParam.nHeight = self.st_frame_info.nHeight
            stConvertParam.pSrcData = self.buf_cache
            stConvertParam.nSrcDataLen = self.st_frame_info.nFrameLen
            stConvertParam.enSrcPixelType = self.st_frame_info.enPixelType 

            # Mono8直接显示
            if PixelType_Gvsp_Mono8 == self.st_frame_info.enPixelType:
                numArray = CameraOperation.Mono_numpy(self,self.buf_cache,self.st_frame_info.nWidth,self.st_frame_info.nHeight)

            # RGB直接显示
            elif PixelType_Gvsp_RGB8_Packed == self.st_frame_info.enPixelType:
                numArray = CameraOperation.Color_numpy(self,self.buf_cache,self.st_frame_info.nWidth,self.st_frame_info.nHeight)

            #如果是黑白且非Mono8则转为Mono8
            elif  True == self.Is_mono_data(self.st_frame_info.enPixelType):
                nConvertSize = self.st_frame_info.nWidth * self.st_frame_info.nHeight
                stConvertParam.enDstPixelType = PixelType_Gvsp_Mono8
                stConvertParam.pDstBuffer = (c_ubyte * nConvertSize)()
                stConvertParam.nDstBufferSize = nConvertSize
                ret = self.obj_cam.MV_CC_ConvertPixelType(stConvertParam)
                if ret != 0:
                    tkinter.messagebox.showerror('show error','convert pixel fail! ret = '+self.To_hex_str(ret))
                    continue
                cdll.msvcrt.memcpy(byref(img_buff), stConvertParam.pDstBuffer, nConvertSize)
                numArray = CameraOperation.Mono_numpy(self,img_buff,self.st_frame_info.nWidth,self.st_frame_info.nHeight)

            #如果是彩色且非RGB则转为RGB后显示
            elif  True == self.Is_color_data(self.st_frame_info.enPixelType):
                nConvertSize = self.st_frame_info.nWidth * self.st_frame_info.nHeight * 3
                stConvertParam.enDstPixelType = PixelType_Gvsp_RGB8_Packed
                stConvertParam.pDstBuffer = (c_ubyte * nConvertSize)()
                stConvertParam.nDstBufferSize = nConvertSize
                ret = self.obj_cam.MV_CC_ConvertPixelType(stConvertParam)
                if ret != 0:
                    tkinter.messagebox.showerror('show error','convert pixel fail! ret = '+self.To_hex_str(ret))
                    continue
                cdll.msvcrt.memcpy(byref(img_buff), stConvertParam.pDstBuffer, nConvertSize)
                numArray = CameraOperation.Color_numpy(self,img_buff,self.st_frame_info.nWidth,self.st_frame_info.nHeight)

            cv2.resizeWindow(str(self.n_win_gui_id), 500, 500) 
            cv2.imshow(str(self.n_win_gui_id),numArray)
            cv2.waitKey(1)

            if self.b_exit == True:
                cv2.destroyAllWindows()
                if img_buff is not None:
                    del img_buff
                if self.buf_cache is not None:
                    del buf_cache
                break