| Name | e57 JSON |
| Version |
0.1.0a7
JSON |
| download |
| home_page | None |
| Summary | Read e57 files to Python. E57 is a compact, non-proprietary point cloud format that's defined by the ASTM E2807 standard. This format is widely adopted by 3D design applications. |
| upload_time | 2024-01-18 20:33:49 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.7 |
| license | None |
| keywords |
pointcloud
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
[](https://pypi.org/project/e57)
# E57 Python Library
E57 is a compact, non-proprietary point cloud format that's defined by the ASTM E2807 standard. This format is widely adopted by 3D design applications.
This python library wraps the [rust e57 library](https://github.com/cry-inc/e57) to provide file reading
- [x] Proof of concept xml reading
- [x] Read e57 point coordinates to numpy array - see `read_points` method.
- [x] Read color field to numpy array.
- [x] Read intensity to numpy array.
- [ ] Read other fields to numpy array.
- [ ] Write to e57 (format ?)
## Getting Started
`pip install e57`
```python
>>> import e57
>>> pc = e57.read_points(r"pointcloud.e57")
>>> pc.points
array([[-23.25304444, -28.17607415, -13.44830654],
[-23.28290139, -28.02118905, -13.44237764],
[-23.26799723, -27.9039115 , -13.43430738],
...,
[ 23.2458152 , 25.4866642 , 12.45043932],
[ 23.22830673, 25.58055374, 12.49285875],
[ 23.25270363, 25.45909652, 12.54284554]])
>>> pc.color
array(([0.3019608 , 0.3529412 , 0.23137255],
[0.21176471, 0.26666668, 0.12941177],
[0.21960784, 0.27058825, 0.13333334],
...,
[0.5803922 , 0.58431375, 0.49019608],
[0.41568628, 0.43529412, 0.33333334],
[0.21568628, 0.25882354, 0.1254902 ]], dtype=float32)
```
We need a tutorial - could you write one based on our tests?
## Contributing
All contributions welcome - feature requests, bug reports, documentation, sample files, tests, rust code, python code, sharing the project online / via social media, ...
## Testing
`python -m pytest`
Raw data
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