Usage¶

Overview¶

Learn how to use the Better Step library to process CAD files. Load shapes from HDF5 files, sample geometry, and utilize the CLI for batch operations.

Basic Workflow¶

Loading a CAD File¶

from hdf5_mesh_sampler import Shape_archive
shape = Shape_archive.load("data/sample_hdf5/Box.hdf5")
print("Loaded shape:", shape)

Sampling Geometry¶

from hdf5_mesh_sampler.sampling import surface_sampler
samples = surface_sampler.sample(shape, resolution=0.1)
print("Sampled points:", samples)

Using the CLI¶

python -m hdf5_mesh_sampler.cli --input data/sample_hdf5/Box.hdf5 --output output_directory

Advanced Use Cases¶

Learning Normals: Use sample data to train or validate normal estimation.
Detecting Sharp Features: Analyze curves to detect geometric edges.
Labeling Geometry: Assign labels based on detected primitive types.

See the example notebooks in the Examples section for more details.