<reponame>hmaarrfk/vispy
# -*- coding: utf-8 -*-
# Copyright (c) Vispy Development Team. All Rights Reserved.
# Distributed under the (new) BSD License. See LICENSE.txt for more info.

"""
Simple demonstration of ImageVisual.
"""

import numpy as np
import vispy.app
from vispy import gloo
from vispy import visuals
from vispy.visuals.transforms import STTransform


class Canvas(vispy.app.Canvas):
    def __init__(self):
        vispy.app.Canvas.__init__(self, keys='interactive', size=(800, 800))
        self.image = visuals.ImageVisual(get_image(), method='subdivide')
        
        # scale and center image in canvas
        s = 700. / max(self.image.size)
        t = 0.5 * (700. - (self.image.size[0] * s)) + 50
        self.image.transform = STTransform(scale=(s, s), translate=(t, 50))
        
        self.show()

    def on_draw(self, ev):
        gloo.clear(color='black', depth=True)
        self.image.draw()

    def on_resize(self, event):
        # Set canvas viewport and reconfigure visual transforms to match.
        vp = (0, 0, self.physical_size[0], self.physical_size[1])
        self.context.set_viewport(*vp)
        self.image.transforms.configure(canvas=self, viewport=vp)


def get_image():
    """Load an image from the demo-data repository if possible. Otherwise,
    just return a randomly generated image.
    """
    from vispy.io import load_data_file, read_png
    
    try:
        return read_png(load_data_file('mona_lisa/mona_lisa_sm.png'))
    except Exception as exc:
        # fall back to random image
        print("Error loading demo image data: %r" % exc)

    # generate random image
    image = np.random.normal(size=(100, 100, 3))
    image[20:80, 20:80] += 3.
    image[50] += 3.
    image[:, 50] += 3.
    image = ((image - image.min()) *
             (253. / (image.max() - image.min()))).astype(np.ubyte)
    
    return image


if __name__ == '__main__':
    win = Canvas()
    import sys
    if sys.flags.interactive != 1:
        vispy.app.run()

# -*- coding: utf-8 -*-
# Copyright (c) Vispy Development Team. All Rights Reserved.
# Distributed under the (new) BSD License. See LICENSE.txt for more info.

"""
Simple demonstration of ImageVisual.
"""

import numpy as np
import vispy.app
from vispy import gloo
from vispy import visuals
from vispy.visuals.transforms import STTransform


class Canvas(vispy.app.Canvas):
    def __init__(self):
        vispy.app.Canvas.__init__(self, keys='interactive', size=(800, 800))
        self.image = visuals.ImageVisual(get_image(), method='subdivide')
        
        # scale and center image in canvas
        s = 700. / max(self.image.size)
        t = 0.5 * (700. - (self.image.size[0] * s)) + 50
        self.image.transform = STTransform(scale=(s, s), translate=(t, 50))
        
        self.show()

    def on_draw(self, ev):
        gloo.clear(color='black', depth=True)
        self.image.draw()

    def on_resize(self, event):
        # Set canvas viewport and reconfigure visual transforms to match.
        vp = (0, 0, self.physical_size[0], self.physical_size[1])
        self.context.set_viewport(*vp)
        self.image.transforms.configure(canvas=self, viewport=vp)


def get_image():
    """Load an image from the demo-data repository if possible. Otherwise,
    just return a randomly generated image.
    """
    from vispy.io import load_data_file, read_png
    
    try:
        return read_png(load_data_file('mona_lisa/mona_lisa_sm.png'))
    except Exception as exc:
        # fall back to random image
        print("Error loading demo image data: %r" % exc)

    # generate random image
    image = np.random.normal(size=(100, 100, 3))
    image[20:80, 20:80] += 3.
    image[50] += 3.
    image[:, 50] += 3.
    image = ((image - image.min()) *
             (253. / (image.max() - image.min()))).astype(np.ubyte)
    
    return image


if __name__ == '__main__':
    win = Canvas()
    import sys
    if sys.flags.interactive != 1:
        vispy.app.run()
# -*- coding: utf-8 -*- # Copyright (c) Vispy Development Team. All Rights Reserved. # Distributed under the (new) BSD License. See LICENSE.txt for more info. Simple demonstration of ImageVisual. # scale and center image in canvas # Set canvas viewport and reconfigure visual transforms to match. Load an image from the demo-data repository if possible. Otherwise,     just return a randomly generated image. # fall back to random image # generate random image