Export noise as greyscale image from point VOP

[karen]

Can I export noise as greyscale image from point VOP?

 

[konstantin magnus]

With Python you could try something like this:

import numpy as np
from PIL import Image

path = hou.evalParm('image_path')
node = hou.pwd()
geo = node.geometry()

lum = np.array(geo.pointFloatAttribValues('luminance'))
lum = lum * 255
lum = lum.astype(np.uint8)
 
img = Image.fromarray(lum, mode='L')
img.save(path)

This way, it currently throws an 'tuple index out of range'-error with 1-dimensional arrays for greyscale images, though.

export_grey_image.hipnc

[evanrudefx]

I did something like this before. You can also do this using texture baking.

save_pnoise.hiplc

[karen]

On 02/07/2020 at 6:39 AM, ejr32123 said:

I did something like this before. You can also do this using texture baking.

save_pnoise.hiplc

When I press save to disk on the bake textures in your file, I get a blank jpeg, all white.

[evanrudefx]

@karen its white because you are viewing the wrong pass. IF you look at my photo you have to view the right image plane. Open it in mplay and select diffcolor.

you might need to save it as something other then jpeg for multiple channels. Just try by hitting render to mplay and to test it.

Edited July 4, 2020 by ejr32123