使用vispy以灰度显示图像

Question

我正在使用作为第二个monobitor连接的空间光调制器（SLM）。 SLM有tzo recive 8位灰度图像。 我目前正在使用vispy在SLM上显示图像，但如果它们正确显示，我不会支持。 有没有可能使用vispy在灰度显示图像？

我DISPLY使用此代码

import sys 
from vispy import scene 
from vispy import app 
import numpy as np 

canvas = scene.SceneCanvas(keys='interactive') 
canvas.size = 800, 600 
canvas.show() 

# Set up a viewbox to display the image with interactive pan/zoom 
view = canvas.central_widget.add_view() 

# Create the image 
img_data = *my image* 
image = scene.visuals.Image(img_data, parent=view.scene) 

# Set 2D camera (the camera will scale to the contents in the scene) 
view.camera = scene.PanZoomCamera(aspect=1) 

if __name__ == '__main__' and sys.flags.interactive == 0: 
    app.run() 

的图片来自http://vispy.readthedocs.io/en/stable/examples/basics/scene/image.html

感谢您的帮助，并抱歉不好英语

Answer 1

您可以从RGB转换你的图片为灰色（见this post ），然后使用“灰色”颜色表。

import sys 
from vispy import scene 
from vispy import app 
import numpy as np 
from vispy.io import load_data_file, read_png 

canvas = scene.SceneCanvas(keys='interactive') 
canvas.size = 800, 600 
canvas.show() 

# Set up a viewbox to display the image with interactive pan/zoom 
view = canvas.central_widget.add_view() 

# Define a function to tranform a picture to gray 
def rgb2gray(rgb): 
    return np.dot(rgb[...,:3], [0.299, 0.587, 0.114]) 

# Load the image 
img_data = read_png(load_data_file('mona_lisa/mona_lisa_sm.png')) 

# Apply transformation 
img_data = rgb2gray(img_data) 

# Image visual 
image = scene.visuals.Image(img_data, cmap='grays', parent=view.scene) 

# Set 2D camera (the camera will scale to the contents in the scene) 
view.camera = scene.PanZoomCamera(aspect=1) 
view.camera.set_range() 
view.camera.flip = (0, 1, 0) 

if __name__ == '__main__' and sys.flags.interactive == 0: 
    app.run()