Skip to main content

3d geometry made easy.

Project description

Visu3d

Unittests PyPI version

visu3d is a Python library offering:

  • An API to make @dataclass behave like array.
  • Standard primitives for 3d geometry (Ray, Camera, Transform,...).

Core features

Everything is a v3d.DataclassArray: dataclass behave like np.array (with indexing, slicing, shape manipulation, vectorization,...).

# Single ray
ray = v3d.Ray(pos=[0, 0, 0], dir=[1, 1, 1])
assert rays.shape == ()

# Multiple rays batched together
rays = v3d.Ray(pos=np.zeros((B, H, W, 3)), dir=np.ones((B, H, W, 3)))
assert rays.shape == (B, H, W)

rays = rays.reshape('b h w -> b (h w)')  #  Native `einops` support

top_left_ray = rays[..., 0, 0]  #  (b, h, w) -> (b,)

rays = rays.flatten()
rays = rays[rays.norm() > 0]  # Filter invalid rays

Everything is visualizable interactively

Every object has a .fig property for interactive visualization:

rays.fig  # Plot the rays

Display multiple objects together:

v3d.make_fig([cam, rays, point_cloud])

Same code seamlessly works across Jax, TensorFlow, Numpy.

rays = rays.as_jax()  # .as_tf(), as_np(), .as_jax()
assert isinstance(rays.pos, jnp.ndarray)
assert rays.xnp is jnp

rays = rays.as_tf()
assert isinstance(rays.pos, tf.Tensor)
assert rays.xnp is tf.experimental.numpy

With native support for auto-diff, jax.vmap, jax.tree_utils,...

Privitives

Common primitives (Ray, Camera, Transform,...), so user can express intent, instead of math.

H, W = (256, 1024)
cam_spec = v3d.PinholeCamera.from_focal(
    resolution=(H, W),
    focal_in_px=35.,
)
cam = v3d.Camera.from_look_at(
    spec=cam_spec,
    pos=[5, 5, 5],
    target=[0, 0, 0],  # Camera looks at the scene center
)

rays = cam.rays()  # Rays in world coordinates

# Project `(*shape, 3)` world coordinates into `(*shape, 2)` pixel coordinates.
px_coords = cam.px_from_world @ point_cloud

See the API for a full list of primitive.

Creating your own primitives is trivial.

Converting any dataclass to dataclass array is trivial:

  • Inherit from v3d.DataclassArray
  • Use etils.array_types to annotate the array fields (or exlicitly use my_field: Any = v3d.array_field(shape=, dtype=) instead of dataclasses.field)
from etils.array_types import FloatArray


@dataclasses.dataclass(frozen=True)
class MyRay(v3d.DataclassArray):
  pos: FloatArray[..., 3]
  dir: FloatArray[..., 3]


rays = MyRay(pos=jnp.zeros((H, W, 3)), dir=jnp.ones((H, W, 3)))
assert rays.shape == (H, W)

v3d makes it easy to opt-in to the feature you need by implementing the corresponding protocol.

Installation

pip install visu3d

This is not an official Google product.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

visu3d-1.1.0.tar.gz (4.4 MB view details)

Uploaded Source

Built Distribution

visu3d-1.1.0-py3-none-any.whl (90.3 kB view details)

Uploaded Python 3

File details

Details for the file visu3d-1.1.0.tar.gz.

File metadata

  • Download URL: visu3d-1.1.0.tar.gz
  • Upload date:
  • Size: 4.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.27.1

File hashes

Hashes for visu3d-1.1.0.tar.gz
Algorithm Hash digest
SHA256 5f7ac882cc97ce56b75d40fdf67af2f770772c068d046884f0adc0a0b37be5c4
MD5 b0870e223a283002b272940185ebc278
BLAKE2b-256 76eb3b6005e98585470c273317b0d5c5f207344aa0879e62018752a2d6d16986

See more details on using hashes here.

File details

Details for the file visu3d-1.1.0-py3-none-any.whl.

File metadata

  • Download URL: visu3d-1.1.0-py3-none-any.whl
  • Upload date:
  • Size: 90.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.27.1

File hashes

Hashes for visu3d-1.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 97c76e7a54b256808495a900010b1c24c4b74fb5ca659bfe4fbeaf61249b1732
MD5 5a4ae9e58e053ce0c864d10ddade9649
BLAKE2b-256 d6bd273d66b93e68ec15257d48e34c9e9640ddd2c65775a280484917ab1aa8a1

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page