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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.

OpenVI

Environment

  • Python 3.9
pip install Cython numpy==1.23.0
pip install -e .

Run

python -m openvi.main

OpenVI - Screencast

OpenVI - Screenshot

OpenVI - Screenshot

OpenVI - Screenshot

Build and Publish

  • Build and publish to PyPI:
python setup.py build twine
bash build_and_publish.sh

References

We used some code and media from the following sources:

Release files for openvi 0.0.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for openvi 0.0.3
File Size Uploaded
openvi-0.0.3.tar.gz 52.2 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for openvi 0.0.3
File Interpreter ABI Platform
openvi-0.0.3-py3-none-any.whl Python 3 none any Details

Total release size: 104.5 MB

Release files / openvi-0.0.3.tar.gz

Download URL openvi-0.0.3.tar.gz
Size 52.2 MB
Tags Source
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Uploaded via twine/4.0.2 CPython/3.9.18

Release files / openvi-0.0.3-py3-none-any.whl

Download URL openvi-0.0.3-py3-none-any.whl
Size 52.3 MB
Tags Python 3
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Uploaded via twine/4.0.2 CPython/3.9.18

Release history Release notifications | RSS feed

This release

0.0.3 This release

2 release files

0.0.2

2 release files

0.0.1

2 release files

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