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- """Example plot of 2 images containing an
- alpha channel for modulating the opacity"""
- #Credits: https://github.com/ilorevilo
- from vedo import Image, show
- import numpy as np
- rgbaimage1 = np.random.rand(50, 50, 4) * 255
- alpharamp = np.linspace(0, 255, 50).astype(int)
- rgbaimage1[:, :, 3] = alpharamp
- rgbaimage2 = np.random.rand(50, 50, 4) * 255
- rgbaimage2[:, :, 3] = alpharamp[::-1]
- img1 = Image(rgbaimage1, channels=4)
- img2 = Image(rgbaimage2, channels=4).z(12)
- show(img1, img2, __doc__, axes=7, viewup="z").close()
- # Second example: a b&w image from a numpy array
- img = np.zeros([512,512])
- img[0:256, 0:256] = 0
- img[0:256, 256:] = 64
- img[256:, 0:256] = 128
- img[256:, 256:] = 255
- img = img.transpose(1,0)
- img3 = Image(img)
- show(img3, mode="image", bg=(0.4,0.5,0.6), axes=1).close()
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