SolidSKeleton Python
Python 3.10+.
pip install ssk
Commands
ssk validate model.ssk
ssk convert model.ssk model.sskb
ssk convert model.ssk model.glb
ssk convert model.ssk model.glb --resolution 64
ssk convert model.sskb model.glb
ssk convert model.glb model.ssk
ssk convert model.glb model.sskb --expected-piece-count 42
ssk inspect model.sskb
From this directory without installing:
python -m ssk validate model.ssk
Library
from ssklib import convert, inspect_file, load, validate_file
convert("model.ssk", "model.glb", resolution=64)
result = convert("model.glb", "model.ssk", expected_piece_count=42)
print(result.coverage_percent, result.overfill_percent)
Lower-level GLTF import:
from ssklib import import_gltf_to_ssk
result = import_gltf_to_ssk(
"model.glb",
expected_piece_count=42, # soft guide
infill_weight=1.18,
outfill_weight=1.05,
complexity_weight=1.0,
)
print(result.coverage_percent, result.overfill_percent)
quality = result.score_document(some_doc)
Lower-level functions:
from ssklib import parse_ssk, parse_sskb, resolve, validate, write_glb, write_gltf, write_ssk, write_sskb
Notes
- Mesh output defaults to resolution 32.
- GLTF/GLB import reconstructs (estimated) SSK-native primitives where practical and reports sampled volume coverage and overfill percentages.
expected_piece_count/--expected-piece-countis a soft guide, not an exact target. Import weight options (--infill-weight,--outfill-weight,--complexity-weight) tune the scoring between candidates on a normalised 0–1 scale. - glTF output uses unindexed meshes with flat per-face normals.
1 maintainer
Metadata
1 maintainer
Release files for ssk 1.5.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ssk-1.5.0.tar.gz | 46.8 kB | Details |
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| ssk-1.5.0-cp310-abi3-win_amd64.whl | CPython 3.10 | abi3 | Windows x86-64 | Details |
| ssk-1.5.0-cp310-abi3-manylinux_2_28_x86_64.whl | CPython 3.10 | abi3 | Linux glibc 2.28+ x86-64 | Details |
| ssk-1.5.0-cp310-abi3-manylinux_2_28_aarch64.whl | CPython 3.10 | abi3 | Linux glibc 2.28+ ARM64 | Details |
| ssk-1.5.0-cp310-abi3-macosx_11_0_x86_64.whl | CPython 3.10 | abi3 | macOS 11.0+ x86-64 | Details |
| ssk-1.5.0-cp310-abi3-macosx_11_0_arm64.whl | CPython 3.10 | abi3 | macOS 11.0+ ARM64 | Details |
Total release size: 3.4 MB
Release files / ssk-1.5.0.tar.gz
| Download URL | ssk-1.5.0.tar.gz |
|---|---|
| Size | 46.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Download URL | ssk-1.5.0-cp310-abi3-win_amd64.whl |
|---|---|
| Size | 405.5 kB |
| Tags | CPython 3.10 Windows x86-64 abi3 |
|
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| Uploaded via |
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| Download URL | ssk-1.5.0-cp310-abi3-manylinux_2_28_x86_64.whl |
|---|---|
| Size | 1.1 MB |
| Tags | CPython 3.10 Linux glibc 2.28+ x86-64 abi3 |
|
SHA-256 checksum How to use checksums |
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| Download URL | ssk-1.5.0-cp310-abi3-manylinux_2_28_aarch64.whl |
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| Size | 1.0 MB |
| Tags | CPython 3.10 Linux glibc 2.28+ ARM64 abi3 |
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|---|---|
| Size | 346.7 kB |
| Tags | CPython 3.10 abi3 macOS 11.0+ x86-64 |
|
SHA-256 checksum How to use checksums |
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| Size | 495.6 kB |
| Tags | CPython 3.10 abi3 macOS 11.0+ ARM64 |
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