easy-gravity
A naive way to extract gravity from poses
See here for some alternative methods
Method
Assume cameras are not in plane rotated. This means that gravity must lie on the "pointing/up" plane for each camera. For any vector $x$ we can easily compute the squared distance to this plane as $x \cdot \hat{n}$. The normals of the plane is simply the x-direction of the camera. Differentiate this sum and solve for 0 you get an eigenvalue eq. Solve for smallest eigenvalue.
1 maintainer
Metadata
1 maintainer
Release files for easy-gravity 0.2.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| easy_gravity-0.2.2.tar.gz | 2.7 kB | Without provenance | Details for easy_gravity-0.2.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| easy_gravity-0.2.2-py3-none-any.whl | Python 3 | none | any | Details for easy_gravity-0.2.2-py3-none-any.whl |
Total release size: 5.2 kB
Release files / easy_gravity-0.2.2.tar.gz
| Download URL | easy_gravity-0.2.2.tar.gz |
|---|---|
| Size | 2.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/5.1.1 CPython/3.12.4
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Release files / easy_gravity-0.2.2-py3-none-any.whl
| Download URL | easy_gravity-0.2.2-py3-none-any.whl |
|---|---|
| Size | 2.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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twine/5.1.1 CPython/3.12.4
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Security for easy-gravity 0.2.2
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