Simple 3D mesh generation with Python based on signed distance functions
Project description
📢 Note
This is my fork of fogleman/sdf. This fork is available on GitHub (so it's clear where I forked it from) and on GitLab, where I'll do the deployments, automatic tests and docs at some point. See here for a an effective diff since forking.
📹 Video: My Talk OpenSCAD vs PythonSDF (🇩🇪 German) at the Tübix2023 Linux Day
I added so many things that it doesn't really make sense to just open a PR upstream. Probably I'll just maintain my own fork.
Documentation of the new features is lacking entirely 😅
Here is a rough list:
sdf.ease
got a huge revamp - easings can now be manipulated and combined easily:ease.linear.plot() # show what it looks like ease.Easing.plot(ease.linear, ease.in_cubic, ease.smoothstep) # show multiple for comparison 3 * ease.linear.symmetric + 1 # This makes a triangle starting at 1 and going as high as 4 in the center ease.smoothstep[0.2:0.8] # zoom into function ease.linear + ease.in_sine # add or multiply functions ease.linear.append(ease.in_cubic.reverse) # stitch functions together # etc, much more, try 'python -m sdf.ease' for a non-comprehensive overview- New objects:
- There's now
bezier()
-curves! 🥳
- their width can even be modulated with an easing function (https://fosstodon.org/@nobodyinperson/110367790398144919)
- There's now
Thread()
s 🔩
- just a twisted offset infinite cylinder, very nice to 3D print due to the smoothness
sphere(10)-Thread().dilate(0.4)
makes a nice thread hole with toleranceScrew()
with head for conveniencepieslice()
: a vertically infinite pie slice, useful to cut out parts- New operations:
mirror()
an object at an arbitrary point into an any directionstretch()
an object from here to thererotate_stretch()
an object to do a kind of partial rotary sweepshear()
an object from between two points along a directionmodulate_between()
: modify an object's thickness between two points with an easing functiontwist_between()
: twist an object between two points with a variable rotation angle specified by an easing functionchamfer()
: chamfer along a planeshell()
can now also do inner and outer shell, not just around boundary Shape analysis (not very precise and reliable yet):.bounds
et al.: finding boundaries/closest surface points/intersections via optimization of the SDFvolume()
: brute-force-approximate the volume Monte-Carlo-style- Many usability fixes here and there
save()
is now properly interruptible, no more zombie worker threadssave()
now optionally shows the mesh withpyvista
(useful in Notebooks)- docstrings are shown properly in interactive Python shells
k()
now creates a copy and doesn't modify the object itselfSome things on my TODO list:
- [ ] proper PyPI upload
- [ ] add tests!
- [ ] auto-generated sphinx documentation
- [ ] auto-generated examples with code besides renders
- [ ] importing SVGs 🤔
- [ ] exporting SVGs (with marching squares / contourplots for 2D SDFs)
- [ ] importing STLs 🤔
sdfCAD
Generate 3D meshes based on SDFs (signed distance functions) with a dirt simple Python API.
Special thanks to Michael Fogleman for initializing this codebase in GitHub:fogleman/sdf.
Special thanks also to Inigo Quilez for his excellent documentation on signed distance functions:
Example
Here is a complete example that generates the model shown. This is the canonical Constructive Solid Geometry example. Note the use of operators for union, intersection, and difference.
from sdf import *
f = sphere(1) & box(1.5)
c = cylinder(0.5)
f -= c.orient(X) | c.orient(Y) | c.orient(Z)
f.save('out.stl')
Yes, that's really the entire code! You can 3D print that model or use it in a 3D application.
More Examples
Have a cool example? Submit a PR!
gearlike.py | knurling.py | blobby.py | weave.py |
---|---|---|---|
Requirements
Note that the dependencies will be automatically installed by when following the directions below.
- Python 3
- matplotlib
- meshio
- numpy
- Pillow
- scikit-image
- scipy
- (pyvista, trame, jupyter, ...)
📥 Installation
Quick install with pip
:
# optionally make a virtualenv
python -m venv sdf-venv
source sdf-venv/bin/activate
# from PyPI: together with the dependencies to run within Jupyter
pip install 'sdfcad[jupyter]'
# latest development version
pip install 'sdfcad[jupyter] @ git+https://gitlab.com/nobodyinperson/sdfCAD'
# for headless operation
pip install git+https://gitlab.com/nobodyinperson/sdfCAD
To hack on:
git clone https://gitlab.com/nobodyinperson/sdfCAD
cd sdfCAD
poetry install --all-extras --with=dev
poetry shell # enter a shell in the virtual environment
Confirm that it works:
python examples/example.py # should generate a file named out.stl
File Formats
sdf
natively writes binary STL files. For other formats, meshio
is used (based on your output file extension). This adds support for over 20 different 3D file formats,
including OBJ, PLY, VTK, and many more.
Viewing the Mesh
sdfCAD is best worked with in Jupyter Lab:
# launch jupyter lab, this should open your browser with Jupyter Lab
jupyter lab
Alternatively, you can just .save()
your object and open the resulting file in your Mesh viewer of choice, e.g.:
- MeshLab
- OpenSCAD (
save(openscad=True)
creates a.scad
file you can open. OpenSCAD can also auto-reload if the file changes.) - Michael Fogleman's meshview
API
In all of the below examples, f
is any 3D SDF, such as:
f = sphere()
Bounds
The bounding box of the SDF is automatically estimated. Inexact SDFs such as non-uniform scaling may cause issues with this process. In that case you can specify the bounds to sample manually:
f.save('out.stl', bounds=((-1, -1, -1), (1, 1, 1)))
Resolution
The resolution of the mesh is also computed automatically. There are two ways
to specify the resolution. You can set the resolution directly with step
:
f.save('out.stl', step=0.01)
f.save('out.stl', step=(0.01, 0.02, 0.03)) # non-uniform resolution
Or you can specify approximately how many points to sample:
f.save('out.stl', samples=2**24) # sample about 16M points
By default, samples=2**18
is used.
Tip: Use the default resolution while developing your SDF. Then when you're done, crank up the resolution for your final output.
Batches
The SDF is sampled in batches. By default the batches have 32**3 = 32768
points each. This batch size can be overridden:
f.save('out.stl', batch_size=64) # instead of 32
The code attempts to skip any batches that are far away from the surface of the mesh. Inexact SDFs such as non-uniform scaling may cause issues with this process, resulting in holes in the output mesh (where batches were skipped when they shouldn't have been). To avoid this, you can disable sparse sampling:
f.save('out.stl', sparse=False) # force all batches to be completely sampled
Worker Threads
The SDF is sampled in batches using worker threads. By default,
multiprocessing.cpu_count()
worker threads are used. This can be overridden:
f.save('out.stl', workers=1) # only use one worker thread
Without Saving
You can of course generate a mesh without writing it to an STL file:
points = f.generate() # takes the same optional arguments as `save`
print(len(points)) # print number of points (3x the number of triangles)
print(points[:3]) # print the vertices of the first triangle
If you want to save an STL after generate
, just use:
write_binary_stl(path, points)
Visualizing the SDF
The save()
method automatically shows the object with pyvista
if available (e.g. when you installed with the jupyter
extra as described above).
# Turn automatic plot visualization off with this:
sphere().save(plot=False)
In Jupyter, you can try to use client-rendering, which is faster:
import pyvista as pv
pv.set_jupyter_backend("client")
You can plot a visualization of a 2D slice of the SDF using matplotlib. This can be useful for debugging purposes.
f.show_slice(z=0)
f.show_slice(z=0, abs=True) # show abs(f)
You can specify a slice plane at any X, Y, or Z coordinate. You can also specify the bounds to plot.
Note that matplotlib
is only imported if this function is called, so it
isn't strictly required as a dependency.
How it Works
The code simply uses the Marching Cubes algorithm to generate a mesh from the Signed Distance Function.
This would normally be abysmally slow in Python. However, numpy is used to evaluate the SDF on entire batches of points simultaneously. Furthermore, multiple threads are used to process batches in parallel. The result is surprisingly fast (for marching cubes). Meshes of adequate detail can still be quite large in terms of number of triangles.
The core "engine" of the sdf
library is very small and can be found in
mesh.py.
In short, there is nothing algorithmically revolutionary here. The goal is to provide a simple, fun, and easy-to-use API for generating 3D models in our favorite language Python.
Files
- sdf/d2.py: 2D signed distance functions
- sdf/d3.py: 3D signed distance functions
- sdf/dn.py: Dimension-agnostic signed distance functions
- sdf/ease.py: Easing functions that operate on numpy arrays. Some SDFs take an easing function as a parameter.
- sdf/mesh.py: The core mesh-generation engine. Also includes code for estimating the bounding box of an SDF and for plotting a 2D slice of an SDF with matplotlib.
- sdf/progress.py: A console progress bar.
- sdf/stl.py: Code for writing a binary STL file.
- sdf/text.py: Generate 2D SDFs for text (which can then be extruded)
- sdf/util.py: Utility constants and functions.
SDF Implementation
It is reasonable to write your own SDFs beyond those provided by the built-in library. Browse the SDF implementations to understand how they are implemented. Here are some simple examples:
@sdf3
def sphere(radius=1, center=ORIGIN):
def f(p):
return np.linalg.norm(p - center, axis=1) - radius
return f
An SDF is simply a function that takes a numpy array of points with shape (N, 3)
for 3D SDFs or shape (N, 2)
for 2D SDFs and returns the signed distance for each
of those points as an array of shape (N, 1)
. They are wrapped with the
@sdf3
decorator (or @sdf2
for 2D SDFs) which make boolean operators work,
add the save
method, add the operators like translate
, etc.
@op3
def translate(other, offset):
def f(p):
return other(p - offset)
return f
An SDF that operates on another SDF (like the above translate
) should use
the @op3
decorator instead. This will register the function such that SDFs
can be chained together like:
f = sphere(1).translate((1, 2, 3))
Instead of what would otherwise be required:
f = translate(sphere(1), (1, 2, 3))
Remember, it's Python!
Remember, this is Python, so it's fully programmable. You can and should split up your model into parameterized sub-components, for example. You can use for loops and conditionals wherever applicable. The sky is the limit!
See the customizable box example for some starting ideas.
Easings
Many transformations in sdfCAD take an optional easing parameter e
.
This is a scalar function that takes an input between 0 and 1 and output another scalar, typically also between 0 and 1.
For convenience, there are many predefined easing functions available, the most important ones probably being ease.linear
and ease.smoothstep
.
Easings can be scaled, added, multiplied, chained, zoomed, etc. to customize them.
An easing function can be plotted via its plot()
method (e.g. ease.in_out_cubic.plot()
)
Here is an example of some operations:
ease.Easing.plot(
ease.linear,
ease.smoothstep,
ease.smoothstep.chain(),
0.5 * ease.in_out_cubic.reverse,
ease.out_elastic.symmetric,
ease.smoothstep.symmetric,
ease.smoothstep.between(-0.5,1),
ease.smoothstep[0.1:0.75],
ease.smoothstep.mirror(),
-3*ease.linear + ease.smoothstep,
)
Function Reference
3D Primitives
sphere
sphere(radius=1, center=ORIGIN)
f = sphere() # unit sphere
f = sphere(2) # specify radius
f = sphere(1, (1, 2, 3)) # translated sphere
box
box(size=1, center=ORIGIN, a=None, b=None)
f = box(1) # all side lengths = 1
f = box((1, 2, 3)) # different side lengths
f = box(a=(-1, -1, -1), b=(3, 4, 5)) # specified by bounds
rounded_box
rounded_box(size, radius)
f = rounded_box((1, 2, 3), 0.25)
wireframe_box
wireframe_box(size, thickness)
f = wireframe_box((1, 2, 3), 0.05)
torus
torus(r1, r2)
f = torus(1, 0.25)
capsule
capsule(a, b, radius)
f = capsule(-Z, Z, 0.5)
capped_cylinder
capped_cylinder(a, b, radius)
f = capped_cylinder(-Z, Z, 0.5)
rounded_cylinder
rounded_cylinder(ra, rb, h)
f = rounded_cylinder(0.5, 0.1, 2)
capped_cone
capped_cone(a, b, ra, rb)
f = capped_cone(-Z, Z, 1, 0.5)
rounded_cone
rounded_cone(r1, r2, h)
f = rounded_cone(0.75, 0.25, 2)
ellipsoid
ellipsoid(size)
f = ellipsoid((1, 2, 3))
pyramid
pyramid(h)
f = pyramid(1)
Platonic Solids
tetrahedron
tetrahedron(r)
f = tetrahedron(1)
octahedron
octahedron(r)
f = octahedron(1)
dodecahedron
dodecahedron(r)
f = dodecahedron(1)
icosahedron
icosahedron(r)
f = icosahedron(1)
Infinite 3D Primitives
The following SDFs extend to infinity in some or all axes. They can only effectively be used in combination with other shapes, as shown in the examples below.
plane
plane(normal=UP, point=ORIGIN)
plane
is an infinite plane, with one side being positive (outside) and one side being negative (inside).
f = sphere() & plane()
slab
slab(x0=None, y0=None, z0=None, x1=None, y1=None, z1=None, k=None)
slab(dx=None, dy=None, dz=None) # symmetric version
slab
is useful for cutting a shape on one or more axis-aligned planes.
f = sphere() & slab(dz=1, x0=0)
cylinder
cylinder(radius)
cylinder
is an infinite cylinder along the Z axis.
f = sphere() - cylinder(0.5)
Text
Yes, even text is supported!
text(font_name, text, width=None, height=None, pixels=PIXELS, points=512)
FONT = 'Arial'
TEXT = 'Hello, world!'
w, h = measure_text(FONT, TEXT)
f = rounded_box((w + 1, h + 1, 0.2), 0.1)
f -= text(FONT, TEXT).extrude(1)
Note: PIL.ImageFont,
which is used to load fonts, does not search for the font by name on all operating systems.
For example, on Ubuntu the full path to the font has to be provided.
(e.g. /usr/share/fonts/truetype/freefont/FreeMono.ttf
)
Images
Image masks can be extruded and incorporated into your 3D model.
image(path_or_array, width=None, height=None, pixels=PIXELS)
IMAGE = 'examples/butterfly.png'
w, h = measure_image(IMAGE)
f = rounded_box((w * 1.1, h * 1.1, 0.1), 0.05)
f |= image(IMAGE).extrude(1) & slab(z0=0, z1=0.075)
Positioning
translate
translate(other, offset)
f = sphere().translate((0, 0, 2))
scale
scale(other, factor)
Note that non-uniform scaling is an inexact SDF.
f = sphere().scale(2)
f = sphere().scale((1, 2, 3)) # non-uniform scaling
rotate
rotate(other, angle, vector=Z)
f = capped_cylinder(-Z, Z, 0.5).rotate(pi / 4, X)
orient
orient(other, axis)
orient
rotates the shape such that whatever was pointing in the +Z direction
is now pointing in the specified direction.
c = capped_cylinder(-Z, Z, 0.25)
f = c.orient(X) | c.orient(Y) | c.orient(Z)
Boolean Operations
The following primitives a
and b
are used in all of the following
boolean operations.
a = box((3, 3, 0.5))
b = sphere()
The named versions (union
, difference
, intersection
) can all take
one or more SDFs as input. They all take an optional k
parameter to define the amount
of smoothing to apply. When using operators (|
, -
, &
) the smoothing can
still be applied via the .k(...)
function.
union
f = a | b
f = union(a, b) # equivalent
difference
f = a - b
f = difference(a, b) # equivalent
intersection
f = a & b
f = intersection(a, b) # equivalent
smooth_union
f = a | b.k(0.25)
f = union(a, b, k=0.25) # equivalent
smooth_difference
f = a - b.k(0.25)
f = difference(a, b, k=0.25) # equivalent
smooth_intersection
f = a & b.k(0.25)
f = intersection(a, b, k=0.25) # equivalent
Repetition
repeat
repeat(other, spacing, count=None, padding=0)
repeat
can repeat the underlying SDF infinitely or a finite number of times.
If finite, the number of repetitions must be odd, because the count specifies
the number of copies to make on each side of the origin. If the repeated
elements overlap or come close together, you may need to specify a padding
greater than zero to compute a correct SDF.
f = sphere().repeat(3, (1, 1, 0))
circular_array
circular_array(other, count, offset)
circular_array
makes count
copies of the underlying SDF, arranged in a
circle around the Z axis. offset
specifies how far to translate the shape
in X before arraying it. The underlying SDF is only evaluated twice (instead
of count
times), so this is more performant than instantiating count
copies
of a shape.
f = capped_cylinder(-Z, Z, 0.5).circular_array(8, 4)
Miscellaneous
blend
blend(a, *bs, k=0.5)
f = sphere().blend(box())
dilate
dilate(other, r)
f = example.dilate(0.1)
erode
erode(other, r)
f = example.erode(0.1)
shell
shell(other, thickness)
f = sphere().shell(0.05) & plane(-Z)
elongate
elongate(other, size)
f = example.elongate((0.25, 0.5, 0.75))
twist
twist(other, k)
f = box().twist(pi / 2)
twist_between
slab(z0=0, dx=5, dy=20, z1=30,k=2).twist_between(
a = 5*Z, # start to twist here
b = 25 * Z, # stop twisting here
# smoothstep funtion between 0° and 80°
e=units("80°").to("radians").m * ease.smoothstep
).save()
stretch
Stretch an object from here to there.
# stretch a sphere vertically to make a capsule
sphere(10).stretch(ORIGIN, 20*Z).save()
# specify symmetric=True to stretch equally in the opposite direction
rotate_stretch
Do a kind of rotary sweep like stretch()
, but for rotation.
# make a quarter capsule sweep
# (”grab X, stretch it around origin to Y”)
capsule(ORIGIN,30*X,10).rotate_stretch(X,Y).save()
# the same with angle, Z is default rotation axis
capsule(ORIGIN,30*X,10).rotate_stretch(angle=units("90°")).save()
# sweep a capsule around
capsule(30*X, 50*X, 10).rotate_stretch(
angle=units("330°"),
shear=40*ease.smoothstep, # move smoothly up along rotation axis while rotating
thicken=-6*ease.smoothstep, # gradually get thinner along the way
fling=-20*ease.smoothstep, # gradually move closer to rotation axis
).save(sparse=False)
shear
Grab a point and move it into a direction, keeping another point fix. This can be used to perform a shearing operation.
box([20,10,50]).shear(fix=-15*Z, grab=15*Z, move=-10*X, e=ease.smoothstep).save()
The easing function can be used to scale the movement along the way, e.g. to make a notch.
box([20,10,50]).shear(-15*Z, 15*Z, -5*X, e=ease.smoothstep.symmetric).save()
modulate_between
Modulate the thickness between two points.
# make a cylinder
(cylinder(10) & slab(dz=50)).modulate_between(
-20 * Z, # start modulating here
20 * Z, # stop modulating here
# easing to apply.
# symmetric smoothstep function for negative dip.
e=-5 * ease.smoothstep.symmetric,
).save()
chamfer
This is a wrapper around stretch()
and modulate_between()
to facilitate a chamfer cut along a plane.
sphere(10).chamfer(2,at=ORIGIN, direction=-Z).save()
bend
bend(other, k)
f = box().bend(1)
bend_linear
bend_linear(other, p0, p1, v, e=ease.linear)
f = capsule(-Z * 2, Z * 2, 0.25).bend_linear(-Z, Z, X, ease.in_out_quad)
bend_radial
bend_radial(other, r0, r1, dz, e=ease.linear)
f = box((5, 5, 0.25)).bend_radial(1, 2, -1, ease.in_out_quad)
transition_linear
transition_linear(f0, f1, p0=-Z, p1=Z, e=ease.linear)
f = box().transition_linear(sphere(), e=ease.in_out_quad)
transition_radial
transition_radial(f0, f1, r0=0, r1=1, e=ease.linear)
f = box().transition_radial(sphere(), e=ease.in_out_quad)
wrap_around
wrap_around(other, x0, x1, r=None, e=ease.linear)
FONT = 'Arial'
TEXT = ' wrap_around ' * 3
w, h = measure_text(FONT, TEXT)
f = text(FONT, TEXT).extrude(0.1).orient(Y).wrap_around(-w / 2, w / 2)
2D to 3D Operations
extrude
extrude(other, h)
f = hexagon(1).extrude(1)
extrude_to
extrude_to(a, b, h, e=ease.linear)
f = rectangle(2).extrude_to(circle(1), 2, ease.in_out_quad)
revolve
revolve(other, offset=0)
f = hexagon(1).revolve(3)
3D to 2D Operations
slice
slice(other)
f = example.translate((0, 0, 0.55)).slice().extrude(0.1)
2D Primitives
circle
line
rectangle
rounded_rectangle
equilateral_triangle
hexagon
rounded_x
polygon
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