Aelion Vision 🚀
Enterprise-grade, zero-boilerplate Computer Vision pipeline.
Aelion Vision is a multi-threaded, high-performance wrapper for OpenCV, MediaPipe, and ONNX. Built for extreme speed, it eliminates camera lag using asynchronous threading and provides professional modules for spatial hand tracking, 468-point face mesh, and biometric security.
🛠️ New in v1.1.0: Intelligence Layer
- Lightweight Emotions: ONNX-powered sentiment analysis (No TensorFlow required).
- Security Vault: Dlib-based identity verification with 128-D vector matching.
- Spatial Mouse: Control your Windows OS using binary hand gestures.
- Zero-Lag Core: Asynchronous camera handling for high-FPS processing.
📦 Installation
Ensure you are using Python 3.8+ and run:
pip install aelion-vision
Metadata
Release files for aelion-vision 1.9.0
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 | |
|---|---|---|---|---|
| aelion_vision-1.9.0.tar.gz | 21.0 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| aelion_vision-1.9.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 48.2 kB
Release files / aelion_vision-1.9.0.tar.gz
| Download URL | aelion_vision-1.9.0.tar.gz |
|---|---|
| Size | 21.0 kB |
| Tags | Source |
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SHA-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/6.2.0 CPython/3.13.5
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Release files / aelion_vision-1.9.0-py3-none-any.whl
| Download URL | aelion_vision-1.9.0-py3-none-any.whl |
|---|---|
| Size | 27.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.5
|
Security for aelion-vision 1.9.0
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None of the files in this release were uploaded with provenance metadata.
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