从二进制数据到 wxbitmap

发布于 2024-12-23 05:16:11 字数 481 浏览 1 评论 0原文

我有一个设备，它将灰度图像存储为一系列 8 位无符号整数值。我想编写一个 python 程序来从文件中读取这些图像并使用 wxBitmap 显示它们。我有一个有效的代码，但由于格式之间存在大量转换，它似乎效率低下。

任何有关更快代码的建议都将受到高度赞赏。

我当前的代码：

imagearray=numpy.fromfile(file=self.f, dtype=numpy.uint8, count=npixels).reshape(Height, Width)[::-1]
pilimage = Image.fromarray(imagearray)
rgb= pilimage.convert('RGB')
rgbdata = rgb.tostring()
WxBitmap = wx.EmptyBitmap(Width,Height)            
WxBitmap.CopyFromBuffer(rgbdata)
output=WxBitmap

原文

I have a device which stores a grayscale image as a series of 8 bit unsigned integer values. I want to write a python program to read these images from a file and show them using wxBitmap. I have a code that works, but it seems inefficient due to a lot of conversions between formats.

Any suggestions for a faster code are highly appreciated.

My current code:

imagearray=numpy.fromfile(file=self.f, dtype=numpy.uint8, count=npixels).reshape(Height, Width)[::-1]
pilimage = Image.fromarray(imagearray)
rgb= pilimage.convert('RGB')
rgbdata = rgb.tostring()
WxBitmap = wx.EmptyBitmap(Width,Height)            
WxBitmap.CopyFromBuffer(rgbdata)
output=WxBitmap

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凉墨 2024-12-30 05:16:11

您可以直接从 numpy 数组获取 wxBitmap。
这是来自 wxPyWiki 的示例：

import wx, numpy

def GetBitmap( self, width=32, height=32, colour = (0,0,0) ):
        array = numpy.zeros( (height, width, 3),'uint8')
        array[:,:,] = colour
        image = wx.EmptyImage(width,height)
        image.SetData( array.tostring())
        wxBitmap = image.ConvertToBitmap()       # OR:  wx.BitmapFromImage(image)
        return wxBitmap

You can get a wxBitmap directly from a numpy array.
This is an example from wxPyWiki:

import wx, numpy

def GetBitmap( self, width=32, height=32, colour = (0,0,0) ):
        array = numpy.zeros( (height, width, 3),'uint8')
        array[:,:,] = colour
        image = wx.EmptyImage(width,height)
        image.SetData( array.tostring())
        wxBitmap = image.ConvertToBitmap()       # OR:  wx.BitmapFromImage(image)
        return wxBitmap

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