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.
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()
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