vidi3d
Visualizes 3D/4D NumPy arrays using Matplotlib and PyQt5.
Installation and Requirements
The following libraries are required:
- Python 3
- Numpy: General purpose array-processing package.
- Matplotlib: Python plotting package .
- PyQt5: Python bindings for Qt application framework.
To install, use: pip3 install vidi3d.
The software can also be found at https://github.com/AlanKuurstra/vidi3d.
Usage
import vidi3d as v
# compare a list of 2d images (an additional temporal dimension is optional)
v.compare2d(listOf2dImages)
# compare a list of 3d images (an additional temporal dimension is optional)
v.compare3d(listOf3dImages)
Some simple examples can be found in the Examples/ folder.
1 maintainer
Metadata
1 maintainer
Release files for vidi3d 1.3.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| vidi3d-1.3.5.tar.gz | 61.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| vidi3d-1.3.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 127.2 kB
Release files / vidi3d-1.3.5.tar.gz
| Download URL | vidi3d-1.3.5.tar.gz |
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| Size | 61.5 kB |
| Tags | Source |
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Release files / vidi3d-1.3.5-py3-none-any.whl
| Download URL | vidi3d-1.3.5-py3-none-any.whl |
|---|---|
| Size | 65.7 kB |
| Tags | Python 3 |
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