GetDesktopWindow() width,height,left,top = get_dimensions() desktop_dc = win32gui.GetWindowDC(hdesktop) img_dc = win32ui.CreateDCFromHandle(desktop_dc) mem_dc = img_dc.CreateCompatibleDC() screenshot = win32ui.CreateBitmap() screenshot.CreateCompatibleBitmap(img_dc,width,height) mem_dc....
N): # set the timer value in milliseconds① self.deltaT = 10 # get the window dimensions② self.width = turtle.window_width() self.height = turtle.window_height() # create the Spiro objects③ self.spiros = [] for i in range(N): # generate random parameters④...
Dimensions:大小; Colors:颜色; Fonts:字体; Anchor:锚(位置参考点); Relief styles:属性边框; Bitmaps:显示位图; Cursors:鼠标外形。 Widget的共同方法: Configuration config(option=value):Widget属性可以在建立时设置,也可以在程序执行时使用config()重新设置; cget("option"):取得option参数值; keys():可以用...
def show_msg(msg, color = BLUE): x = screen.get_rect().centerx y = screen.get_rect().centery - 50 font = pygame.font.Font(None, 36) text = font.render(msg, True, color) text_rect = text.get_rect() text_rect.centerx = x text_rect.centery = y rectangle1 = pygame.Rect(...
首先我们需要定义是个until函数# the gram matrix of an image tensor (feature-wise outer product)# 图像张量的克矩阵def gram_matrix(x):assert K.ndim(x) == 3if K.image_data_format() == 'channels_first':features = K.batch_flatten(x)else:features = K.batch_flatten(K.permute_dimensions(x...
y =int((screenheight-hei)/2) root.geometry(f'{wid}x{hei}+{x}+{y}') root.mainloop() 二、tkinter的Widget Widget可以翻译为控件或组件或部件。窗口建立完成后,下一步是在窗口内建立控件,我们将这些控件统称为Widget。 (1)Button(按钮) (2)Canvas(画布) ...
at its current location.""" self.screen.blit(self.image, self.rect)创建游戏开始按钮import pygame.fontclassButton():def__init__(self, ai_settings, screen, msg):"""Initialize button attributes."""self.screen = screenself.screen_rect = screen.get_rect()# Set the dimensions and properties...
# get the window dimensions ② self.width = turtle.window_width() self.height = turtle.window_height() # create the Spiro objects ③ self.spiros = [] for i in range(N): # generate random parameters ④ rparams = self.genRandomParams() ...
_dims = l2n(imdataBrainSeg.GetDimensions()) _center = n2l(_origin+_spacing*(_dims/2.0)) 1. 2. 3. 4. 使用vtkImageData 的适当方法来检索图像数据的原点坐标、间距和尺寸,并使用 l2n 辅助函数快速将这些列表转换为numpy.ndarray对象,以允许我们和这些数做一些数学运算。然后,计算图像数据的中心坐标并...
#第2行行高sheet.row_dimensions[2].height = 40# C列列宽sheet.column_dimensions['C'].width = 30 (5)合并和拆分单元格 所谓合并单元格,即以合并区域的左上角的那个单元格为基准,覆盖其他单元格使之称为一个大的单元格。 相反,拆分单元格后将这个大单元格的值返回到原来的左上角位置。