SDFEst
SDFEst is a package for pose, scale, and shape estimation using discretized signed distance fields. It includes and combines three main components (generative model, discriminative initialization, and differentiable renderer) to enable pose and shape estimation in an analysis-by-synthesis framework.
Check the GitHub page for usage instructions.
1 maintainer
Metadata
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Release files for sdfest 0.1.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| sdfest-0.1.1.tar.gz | 104.2 kB | Without provenance | Details for sdfest-0.1.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| sdfest-0.1.1-py3-none-any.whl | Python 3 | none | any | Details for sdfest-0.1.1-py3-none-any.whl |
Total release size: 242.7 kB
Release files / sdfest-0.1.1.tar.gz
| Download URL | sdfest-0.1.1.tar.gz |
|---|---|
| Size | 104.2 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/4.0.2 CPython/3.11.8
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Release files / sdfest-0.1.1-py3-none-any.whl
| Download URL | sdfest-0.1.1-py3-none-any.whl |
|---|---|
| Size | 138.5 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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No |
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twine/4.0.2 CPython/3.11.8
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Security for sdfest 0.1.1
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