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- # Transform a image into a mesh
- from vedo import Image, dataurl, show
- import numpy as np
- img = Image(dataurl+"images/dog.jpg").smooth(5)
- msh = img.tomesh() # make a quad-mesh out of it
- # build a scalar array with intensities
- rgb = msh.pointdata["RGBA"]
- intensity = np.sum(rgb, axis=1)
- intensityz = np.zeros_like(rgb)
- intensityz[:,2] = intensity / 10
- # set the new vertex points
- msh.points += intensityz
- # more cosmetics
- msh.triangulate().smooth()
- msh.lighting("default").cmap("bone", "RGBA")
- msht = img.clone().threshold(100)
- show([[img, "A normal jpg image.."],
- [msh, "..becomes a polygonal Mesh"],
- [msht, "Thresholding also generates a Mesh"]
- ], N=3, axes=1, zoom=1.1, elevation=-20, bg='black').close()
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