# OpenVI - Open toolkit for Computer Vision
This project aims to create a toolkit for computer vision, with image processing and computer vision training with no code. The main features are:
- Image processing graph: Everyone can create image processing graphs with OpenCV. Try the result in real time.
- Training machine learning models for object detection, image classification, and other computer vision tasks.
- Deploy machine learning models to devices.
## Environment
- Python 3.9
```bash
pip install Cython numpy==1.23.0
pip install -e .
```
## Run
```bash
python -m openvi.main
```
[OpenVI - Screencast](https://github.com/openvi-team/openvi/assets/18329471/db9047e2-3b0b-4052-bdb2-ea550d481921)
## Build and Publish
- Build and publish to PyPI:
```bash
python setup.py build twine
bash build_and_publish.sh
```
## References
We used some code and media from the following sources:
- Image processing graph: [Image-Processing-Node-Editor](https://github.com/Kazuhito00/Image-Processing-Node-Editor) - License: Apache 2.0.
- Video of <a href="https://pixabay.com/vi/users/robert_arangol-17277286/?utm_source=link-attribution&utm_medium=referral&utm_campaign=video&utm_content=46026">Robert Arango Lopez</a> from <a href="https://pixabay.com/vi//?utm_source=link-attribution&utm_medium=referral&utm_campaign=video&utm_content=46026">Pixabay</a>
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"description": "# OpenVI - Open toolkit for Computer Vision\n\nThis project aims to create a toolkit for computer vision, with image processing and computer vision training with no code. The main features are:\n\n- Image processing graph: Everyone can create image processing graphs with OpenCV. Try the result in real time.\n- Training machine learning models for object detection, image classification, and other computer vision tasks.\n- Deploy machine learning models to devices.\n\n\n\n## Environment\n\n- Python 3.9\n\n```bash\n\npip install Cython numpy==1.23.0\npip install -e .\n```\n\n## Run\n\n```bash\npython -m openvi.main\n```\n\n[OpenVI - Screencast](https://github.com/openvi-team/openvi/assets/18329471/db9047e2-3b0b-4052-bdb2-ea550d481921)\n\n\n\n\n\n\n\n\n## Build and Publish\n\n- Build and publish to PyPI:\n\n```bash\npython setup.py build twine\nbash build_and_publish.sh\n```\n\n## References\n\nWe used some code and media from the following sources:\n\n- Image processing graph: [Image-Processing-Node-Editor](https://github.com/Kazuhito00/Image-Processing-Node-Editor) - License: Apache 2.0.\n- Video of <a href=\"https://pixabay.com/vi/users/robert_arangol-17277286/?utm_source=link-attribution&utm_medium=referral&utm_campaign=video&utm_content=46026\">Robert Arango Lopez</a> from <a href=\"https://pixabay.com/vi//?utm_source=link-attribution&utm_medium=referral&utm_campaign=video&utm_content=46026\">Pixabay</a>\n",
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