0.0.9

What's Changed

• fix(ransac): fix number of threads which would compute the final mask by @true-real-michael in #31
• fix(pip): add numba to poetry dependencies by @true-real-michael in #32
• fix(ransac): remove redundant normalization by @true-real-michael in #33

Full Changelog: 0.0.8...0.0.9

0.0.8

What's Changed

• [feat CudaRansac] Do not use CUDA RNGs. Make number of initial points configurable by @true-real-michael in #28
• [feat CudaRansac] Parallelize final mask computation. Use shared variables instead of global variables by @true-real-michael in #30

Full Changelog: 0.0.7...0.0.8

0.0.7

What's Changed

• Update README.md by @true-real-michael in #25
• process poses in batches to avoid running out of memory by @true-real-michael in #26
• reduce size of result mask by @true-real-michael in #27
• CUDA RANSAC implementation by @true-real-michael in #21

Full Changelog: 0.0.6...0.0.7

0.0.6

What's Changed

• add LICENSE and update README by @true-real-michael in #20
• fix pyproject.toml by @true-real-michael in #22
• feat(pip): migrate to publishing pip package using poetry by @pmokeev in #23
• add pip install poetry to workflows by @true-real-michael in #24

Full Changelog: v0.0.5...0.0.6

v0.0.5

What's Changed

• fix grid, octree: faster point distribution by @true-real-michael in #19

Full Changelog: v0.0.4...v0.0.5

v0.0.4

What's Changed

• feat(visualization): mask for unused voxels by @pmokeev in #18

Full Changelog: v0.0.3...v0.0.4

v0.0.3

What's Changed

• CI: tests, linters by @true-real-michael in #14
• OctreeManager and vector operations by @true-real-michael in #17

Full Changelog: v0.0.2...v0.0.3

Class diagram

v0.0.2

What's Changed

• fixed voxels colors in visualization
• fixed point insertion

Full Changelog: v0.0.1...v0.0.2

v0.0.1

Implemented Functionality

• Grid as the main class for interaction with the library
• Point clouds are implemented using numpy arrays

Full Changelog: https://github.com/true-real-michael/octreelib/commits/v0.0.1

v0.0.1-alpha

Supported Functionality

• GridWithPoints
• StaticGrid
  All of the above use np.ndarray as Point and List[Point] as PointCloud