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
pip install Cython numpy==1.23.0
pip install -e .
Run
python -m openvi.main
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:
- Image processing graph: Image-Processing-Node-Editor - License: Apache 2.0.
- Video of Robert Arango Lopez from Pixabay
1 maintainer
Metadata
1 maintainer
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)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| openvi-0.0.3.tar.gz | 52.2 MB | Without provenance | Details for openvi-0.0.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| openvi-0.0.3-py3-none-any.whl | Python 3 | none | any | Details for openvi-0.0.3-py3-none-any.whl |
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 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| 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 |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
e0dd48148c65d02be547a22e8b3186db74274146b7ab610c1450c10865782ef4
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.18
|
Security for openvi 0.0.3
Provenance
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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