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

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Summary
DescriptionComposition in 3D generated with the opensimplex noise.png |
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
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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
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Date/Time | Thumbnail | Dimensions | User | Comment | |
---|---|---|---|---|---|
current | 17:45, 23 May 2020 | ![]() | 1,504 × 2,160 (3.3 MB) | wikimediacommons>Rob su | Uploaded own work with UploadWizard |
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Width | 3,350 px |
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Height | 2,160 px |
Pixel composition | RGB |
Number of components | 3 |
Horizontal resolution | 96 dpi |
Vertical resolution | 96 dpi |
Bits per component |
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Date and time of digitizing | 18:53, 23 May 2020 |
File change date and time | 19:35, 23 May 2020 |
Date metadata was last modified | 19:35, 23 May 2020 |
Unique ID of original document | xmp.did:6d3788a7-1c41-be42-92d2-bf8f49bdd77e |