Datasets:
STEP face and edge labels
Use pythonocc-core 7.8.1.1 with OCCT 7.8.1 and the supplied read_labels.py.
Traversal
from OCC.Extend.DataExchange import read_step_file
from OCC.Extend.TopologyUtils import TopologyExplorer
shape = read_step_file("model.step", as_compound=True, verbosity=False)
topology = TopologyExplorer(shape, ignore_orientation=True)
faces = list(topology.faces())
edges = list(topology.edges())
face_labels[i] labels faces[i]; edge_labels[j] labels edges[j].
Both arrays contain binary integers and use zero-based indices. They cover
every face and edge returned by these traversals, including boundary and seam
edges. The same underlying primitive encountered with different orientations
is counted once (IsSame comparison).
Use the compound returned by read_step_file, retaining all transferred
shapes. Read the provided STEP without normalization, healing, simplification,
or re-export, and preserve traversal order. The indices are traversal positions,
not STEP entity numbers. Different OCC versions or traversal implementations
can change the association.
Label files
labels/<state-id>.json contains:
| Field | Meaning |
|---|---|
query |
List of text queries sharing the target primitives |
face_labels |
One binary value per traversed face |
edge_labels |
One binary value per traversed edge |
read_step_labels(step_path, labels_path) returns the original OCC shape,
ordered faces and edges, and the labels. It checks the primitive counts
against the label lengths and validates binary values.
Construct any network-specific representation after reading this association, carrying the labels through the corresponding primitive mapping.