Matplotlib imshow and kivy(Matplotlib imshow 和 kivy)

问题描述

我有一个 3D numpy 数组，代表一个 3D 断层图像 I = [i,j,k].

我开始学习 kivy，因为我需要做一个简单的 GUI，该 GUI 由一个 2D 图像查看器组成，用于 3D (s = [i,:,:]) 图像的每个切片和一个用于跨平面移动的切片器.

我通常通过 matplotlib 执行所有可视化，我认为最简单的方法是将 matplotlib 连接到 kivy.我该怎么做?我看到另一个问题，它提出了类似的问题，但仅限于绘图功能，并且该方法似乎不适用于 imshow.(

I have a 3D numpy array, representing a 3D tomographic image I = [i,j,k].

I started to learn kivy as I need to do a simple GUI consisting of a 2D image viewer for each slice of the 3D (s = [i,:,:]) image and a slicer to move across planes.

I usually perform all visualization via matplotlib and I tough that the easiest way will be to connect matplotlib to the kivy. How can I do it? I saw another question which ask a similar question, but only with the plot function, and the methodology does not seems to work for imshow. (How to get started/use matplotlib in kivy).

Any suggestions?

Thanks,

Please refer to the example for details.

Example

main.py

from kivy.garden.matplotlib.backend_kivyagg import FigureCanvasKivyAgg
from kivy.app import App
from kivy.uix.boxlayout import BoxLayout
import matplotlib.pyplot as plt
import matplotlib.image as mpimg


img = mpimg.imread('ac013.JPG')
lum_img = img[:, :, 0]
plt.imshow(lum_img, cmap="nipy_spectral")
plt.colorbar()


class TestApp(App):
    title = "Kivy Garden Matplolib & imshow()"

    def build(self):
        box = BoxLayout()
        box.add_widget(FigureCanvasKivyAgg(plt.gcf()))
        return box


if __name__ == "__main__":
    TestApp().run()

Output

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