问正确显示wxpython中的numpy数组cv2图像

EN

import wx
import cv2
import numpy as np


def create_wx_bitmap(cv2_image):
    # type: (np.ndarray) -> wx.Bitmap

    # My Attempt based on https://stackoverflow.com/questions/32995679/converting-wx-bitmap-to-numpy-using-bitmapbufferformat-rgba-python/32995940#32995940
    height, width = cv2_image.shape[:2]

    array = cv2_image # the OpenCV image
    image = wx.Image(width, height)
    image.SetData(array.tobytes())
    wxBitmap = image.ConvertToBitmap()   

    return wxBitmap

    # My other attempt:
    # height, width = cv2_image.shape[:2]
    # cv2_image_rgb = cv2.cvtColor(cv2_image, cv2.COLOR_BGR2RGB)
    # return wx.Bitmap.FromBuffer(width, height, cv2_image_rgb)

class MyFrame(wx.Frame):
    def __init__(self, parent, title):
        wx.Frame.__init__(self, parent, title=title)

        cv2_image = cv2.imread("test1.png", cv2.IMREAD_ANYDEPTH | cv2.IMREAD_COLOR)  # type: np.ndarray
        print(cv2_image.dtype)

        bitmap = create_wx_bitmap(cv2_image)  # type: wx.Bitmap

        wx.StaticBitmap(self, -1, bitmap, (0, 0), self.GetClientSize())
        self.SetSize(bitmap.GetSize())


if __name__ == "__main__":
    app = wx.App(False)
    frame = MyFrame(None, "wxPython with OpenCV")
    frame.Show()
    app.MainLoop()

def create_wx_bitmap(cv2_image):
    # type: (np.ndarray) -> wx.Bitmap

    height, width = cv2_image.shape[:2]

    info = np.iinfo(cv2_image.dtype) # Get the information of the incoming image type
    data = cv2_image.astype(np.float64) / info.max # normalize the data to 0 - 1
    data = 255 * data # Now scale by 255
    cv2_image = data.astype(np.uint8)

    cv2_image_rgb = cv2.cvtColor(cv2_image, cv2.COLOR_BGR2RGB)
    return wx.Bitmap.FromBuffer(width, height, cv2_image_rgb)