The PyVoR-CV project, a computer vision library made for some VoRobotics projects (VoR11, VoR12, ...).
Project description
Copyright (c) 2015 Jeremie DECOCK (http://www.jdhp.org)
Online documentation: http://pyvorcv.readthedocs.org
Source code: https://github.com/volab/pyvorcv
Issue tracker: https://github.com/volab/pyvorcv/issues
PyVoR-CV on PyPI: https://pypi.python.org/pypi/pyvorcv
In collaboration with http://www.vorobotics.com
Description
The PyVoR-CV project (Python based VoRobotics Computer Vision), is a computer vision library made for some VoRobotics projects (VoR11, VoR12, …). PyVoR-CV is mostly based on the OpenCV computer vision library.
Note:
This project is still in beta stage, so the API is not finalized yet.
Demos
Dependencies
Note:
Installation
Gnu/Linux
You can install, upgrade, uninstall PyVoR-CV with these commands (in a terminal):
pip install --pre pyvorcv pip install --upgrade pyvorcv pip uninstall pyvorcv
Or, if you have downloaded the PyVoR-CV source code:
python3 setup.py install
Windows
You can install, upgrade, uninstall PyVoR-CV with these commands (in a command prompt):
py -m pip install --pre pyvorcv py -m pip install --upgrade pyvorcv py -m pip uninstall pyvorcv
Or, if you have downloaded the PyVoR-CV source code:
py setup.py install
MacOSX
You can install, upgrade, uninstall PyVoR-CV with these commands (in a terminal):
pip install --pre pyvorcv pip install --upgrade pyvorcv pip uninstall pyvorcv
Or, if you have downloaded the PyVoR-CV source code:
python3 setup.py install
Bug reports
To search for bugs or report them, please use the PyVoR-CV Bug Tracker at:
License
The PyVoR-CV library is provided under the terms and conditions of the MIT License.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file pyvorcv-0.1.tar.gz.
File metadata
- Download URL: pyvorcv-0.1.tar.gz
- Upload date:
- Size: 10.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
747d2100bde1931b6a7fd0dfd02e6c5c4f421dd73de89cbc846f305cb8528565
|
|
| MD5 |
96161403c875b604e4d3f31a3012b332
|
|
| BLAKE2b-256 |
3aed6b20aabf34c29f42a745e0e409c48bc0c8e2cc3ff9874d6328030de807b5
|