v0.0.2

NNDT 0.0.2 (16 Oct 2022)

• The partial becomes complete; the crooked, straight; the empty, full; the worn out, new.
• Now we have 7 contributors. Thank you all for new docs, features, issues and CI/CD pipeline!
• The space model (space) is pandas for 3D objects. It is completely redesigned and is now available as space2. The previous version of space is still here, but will be removed soon
• Visualization of tree and 3D objects via .plot() and .print()
• New short and easy import for space2
• 30 methods are available in the second version of the space model
  • Available as functions (12)
    • Space model loaders (6): load_from_path, load_from_file_lists, load_only_one_file, load_txt, load_sdt, load_mesh_obj
    • Space model serialization (2): to_json, save_space_to_file
    • Space model deserialization (2): read_space_from_file, from_json
    • Primitive generation (1): add_sphere
    • Space model modification (1): split_node_test_train
  • Available as methods in the space model tree (18)
    • General (3): .plot, .print, .unload_from_memory
    • Sampling (4): .sampling_eachN_from_mesh, .sampling_grid, .sampling_grid_with_noise, .sampling_uniform
    • Surface data (6): .surface_ind2rgba, .surface_ind2xyz, .surface_xyz2ind, .surface_xyz2localsdt, .surface_xyz2rgba, .surface_xyz2sdt
    • Transformations (4): .transform_sdt_ns2ps, .transform_sdt_ps2ns, .transform_xyz_ns2ps, .transform_xyz_ps2ns
    • Save (1): .save_mesh
• New modules for Haiku: MLP with Lipschitz regularization (LipMLP, LipLinear)
• Functions for iteration over N-simplex with barycentric coordinates in math_core.py
• Serialization and deserialization of the space2 model
• Conversion of signed distance tensor (SDT) to signed distance function (SDF) using MLP training (still uses the previous version of space model)
• One real demo for a research paper (still uses the previous version of space model)
  • Shape interpolation for building a computational anatomy atlas
• Draft documentation for some methods
• Code quality
  • CI pipeline for new pull requests
  • 74% of code coverage in CodeCov
  • A grade, 10 issues in CodeFactor
• Known issues
  • Wiki page is outdated
  • Lack of documentation
  • Bugs with SDT requests and cube marching
  • Some test is disabled because of CI pipeline restrictions