File:Composition in 3D generated with the opensimplex noise.png

Original file(1,504 × 2,160 pixels, file size: 3.3 MB, MIME type: image/png)

 
This PNG graphic was created with Python.

Summary

Description
English: Composition is generated in Python. Nodes of bezier curves are following a vector field generated with the open simplex noise algorithm. Scene is ray-traced with PlotOptiX package.
Date
Source Own work
Author Rob su

Licensing

I, the copyright holder of this work, hereby publish it under the following license:
w:en:Creative Commons
attribution share alike
This file is licensed under the Creative Commons Attribution-Share Alike 4.0 International license.
You are free:
  • to share – to copy, distribute and transmit the work
  • to remix – to adapt the work
Under the following conditions:
  • attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  • share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.

Source code (python)

import numpy as np

# docs, examples: https://plotoptix.rnd.team
from plotoptix import TkOptiX
from plotoptix.materials import m_plastic
from plotoptix.utils import simplex

b = 7000   # number of curves
n = 60     # number pf nodes per curve
dt = 0.1   # nodes distance

ofs = 50 * np.random.rand(3)
inp = 5 * np.random.rand(b, 3, 4) - 2.5
for c in range(b):
    inp[c,1:,:3] = inp[c,0,:3]
    inp[c,:,0] *= 1.75            # more spread in X
    inp[c,:,3] = ofs              # sync the 4'th dim of the noise

pos = np.zeros((b, n, 3), dtype=np.float32)
r = np.zeros((b, n), dtype=np.float32)

rnd = simplex(inp)

for t in range(n):
    rt = 2.0 * (t+1) / (n+2) - 1
    rt = 1 - rt*rt
    r[:,t] = 0.07 * rt * rt
    for c in range(b):
        mag = np.linalg.norm(rnd[c])
        r[c,t] *= 0.2 + 0.8 * mag      # modulate thickness
        
        rnd[c] = (0.08/mag) * rnd[c]   # normalize and scale the step size
        inp[c,:,:3] += rnd[c]          # step in the field direction
        pos[c,t] = inp[c,0,:3]
        
    rnd = simplex(inp, rnd)            # calculate noise at the next pos

rt = TkOptiX(start_now=False)
rt.set_param(
    min_accumulation_step=1,
    max_accumulation_frames=200,
    rt_timeout=100000                  # accept lower fps
)

exposure = 1.2; gamma = 1.8
rt.set_float("tonemap_exposure", exposure)
rt.set_float("tonemap_gamma", gamma)
rt.set_float("denoiser_blend", 0.25)
rt.add_postproc("Denoiser")

rt.setup_material("plastic", m_plastic)

for c in range(b):
    if np.random.uniform() < 0.05:
        rt.set_data("c"+str(c), pos=pos[c], r=1.1*r[c], c=[0.4, 0, 0], geom="BezierChain")
    else:
        rt.set_data("c"+str(c), pos=pos[c], r=r[c], c=0.94, geom="BezierChain", mat="plastic")
        
rt.setup_camera("dof_cam", eye=[0, 0, 12], target=[0, 0, 0], fov=57, focal_scale=0.7, cam_type="DoF")

rt.setup_light("l1", pos=[8, -3, 13], color=1.5*np.array([0.99, 0.97, 0.93]), radius=5)
rt.setup_light("l2", pos=[-17, -7, 5], u=[0, 0, -10], v=[0, 14, 0], color=1*np.array([0.25, 0.28, 0.35]), light_type="Parallelogram")
rt.set_ambient([0.05, 0.07, 0.09])
rt.set_background(0)
rt.show()

Captions

Abstract composition generated in Python using OpenSimplex noise 4D.

Items portrayed in this file

depicts

23 May 2020

image/png

a7a7cae2173ccada711d97bd280477fe1f80c83f

3,457,113 byte

2,160 pixel

1,504 pixel

File history

Click on a date/time to view the file as it appeared at that time.

Date/TimeThumbnailDimensionsUserComment
current16:45, 23 May 2020Thumbnail for version as of 16:45, 23 May 20201,504 × 2,160 (3.3 MB)Rob suUploaded own work with UploadWizard
The following pages on the English Wikipedia use this file (pages on other projects are not listed):

Global file usage

The following other wikis use this file:

Metadata