import numpy, glumpy
window = glumpy.Window(512, 512)
Z = numpy.asarray(Image.open('lena.png'))
n = 12
L = glumpy.Image(Z, interpolation='bicubic')
N = glumpy.Image(numpy.ones((n, n, 3), dtype=numpy.uint8),
interpolation='nearest')
BL = glumpy.Image(numpy.zeros((n, n, 3), dtype=numpy.uint8),
interpolation='bilinear')
BC = glumpy.Image(numpy.zeros((n, n, 3), dtype=numpy.uint8),
interpolation='bicubic')
z = 512 / (3.0 * n)
shape, items = glumpy.layout([[L, '-', '-'], [(N, z), (BL, z), (BC, z)]],
padding=0,
border=0)
window.set_size(int(shape[0] * 600), int(shape[1] * 600))
@window.event
def on_mouse_motion(x, y, dx, dy):
global L, N, BN, BC, n
i, x0, y0, w, h = items[0]
x0, y0 = x0 * 600 * shape[0], y0 * 600 * shape[1]
w, h = w * 600 * shape[0] - 1, h * 600 * shape[1] + 1
x = min(max(x - x0, 0), w) / float(w) * 512
y = (1 - min(max(y - y0, 0), h) / float(h)) * 512
x = max(min(x, 512 - n // 2), n // 2)
y = max(min(y, 512 - n // 2), n // 2)
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING, distributed as part of this software.
# -----------------------------------------------------------------------------
from PIL import Image
import numpy, glumpy
window = glumpy.Window(512, 512)
Z = numpy.asarray(Image.open("lena.png"))
n = 12
L = glumpy.Image(Z, interpolation="bicubic")
N = glumpy.Image(numpy.ones((n, n, 3), dtype=numpy.uint8), interpolation="nearest")
BL = glumpy.Image(numpy.zeros((n, n, 3), dtype=numpy.uint8), interpolation="bilinear")
BC = glumpy.Image(numpy.zeros((n, n, 3), dtype=numpy.uint8), interpolation="bicubic")
z = 512 / (3.0 * n)
shape, items = glumpy.layout([[L, "-", "-"], [(N, z), (BL, z), (BC, z)]], padding=0, border=0)
window.set_size(int(shape[0] * 600), int(shape[1] * 600))
@window.event
def on_mouse_motion(x, y, dx, dy):
global L, N, BN, BC, n
i, x0, y0, w, h = items[0]
x0, y0 = x0 * 600 * shape[0], y0 * 600 * shape[1]
w, h = w * 600 * shape[0] - 1, h * 600 * shape[1] + 1
x = min(max(x - x0, 0), w) / float(w) * 512
y = (1 - min(max(y - y0, 0), h) / float(h)) * 512
x = max(min(x, 512 - n // 2), n // 2)
y = max(min(y, 512 - n // 2), n // 2)
N.data[...] = L.data[y - n // 2 : y + n // 2, x - n // 2 : x + n // 2]
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING, distributed as part of this software.
#-----------------------------------------------------------------------------
import numpy, glumpy
import OpenGL.GL as gl
window = glumpy.Window(512, 512)
A = glumpy.Image(numpy.random.random((100, 100)).astype(numpy.float32),
cmap=glumpy.colormap.Grey)
B = glumpy.Image(numpy.random.random((50, 50)).astype(numpy.float32),
cmap=glumpy.colormap.Grey)
C = glumpy.Image(numpy.random.random((30, 30)).astype(numpy.float32),
cmap=glumpy.colormap.Grey)
shape, items = glumpy.layout([[(A, 1.05), '-'], [(C, 5 / 3.), B]],
padding=5,
border=5)
window.set_size(int(shape[0] * 600), int(shape[1] * 600))
@window.event
def on_draw():
window.clear()
gl.glColor4f(1, 1, 1, 1)
for item in items:
Z, x, y, w, h = item
x, y = x * 600 * shape[0], y * 600 * shape[1]
w, h = w * 600 * shape[0] - 1, h * 600 * shape[1] + 1
Z.blit(x, y, w, h)
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING, distributed as part of this software.
#-----------------------------------------------------------------------------
import numpy, glumpy
import OpenGL.GL as gl
window = glumpy.Window(512, 512)
A = glumpy.Image(numpy.random.random((100,100)).astype(numpy.float32),
cmap=glumpy.colormap.Grey)
B = glumpy.Image(numpy.random.random((50,50)).astype(numpy.float32),
cmap=glumpy.colormap.Grey)
C = glumpy.Image(numpy.random.random((30,30)).astype(numpy.float32),
cmap=glumpy.colormap.Grey)
shape, items = glumpy.layout([ [(A,1.05), '-'],
[(C,5/3.), B ] ], padding=5, border=5)
window.set_size(int(shape[0]*600), int(shape[1]*600))
@window.event
def on_draw():
window.clear()
gl.glColor4f(1,1,1,1)
for item in items:
Z,x,y,w,h = item
x,y = x*600*shape[0], y*600*shape[1]
w,h = w*600*shape[0]-1, h*600*shape[1]+1
Z.blit(x,y,w,h)
window.mainloop()
