Metadata-Version: 2.4
Name: fasthardware
Version: 3.0.1
Summary: A low-level hardware optimization pipeline for zero-latency video streaming and multi-core acceleration.
Author: 최운교
Author-email: chldnsry1214@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Multimedia :: Video :: Capture
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: numpy>=1.20.0
Requires-Dist: opencv-python>=4.5.0
Requires-Dist: psutil>=5.8.0
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# fasthardware (v3.0.1)

[![PyPI version](https://img.shields.io/pypi/v/fasthardware.svg)](https://pypi.org/project/fasthardware/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Downloads](https://pepy.tech/badge/fasthardware)](https://pepy.tech/project/fasthardware)

A lightweight, low-level hardware optimization pipeline engineered to bypass Python's GIL bottlenecks, eliminate OpenCV camera buffer lag, and maximize multi-core execution pools (CPU/GPU) for computer vision architectures.

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##  Key Features

* **Lazy-Initialization Video Stream:** Defeats console `input()` or engine compilation delays by spinning up `cv2.VideoCapture` only after blocking I/O operations are completely finished.
* **Asynchronous Background Refreshes:** Offloads video frame captures onto a dedicated background thread to guarantee zero-latency `read()` states.
* **Multi-Backend Tuning:** Direct runtime optimization hooks for NVIDIA CUDA/cuDNN, Intel OpenVINO, ONNX Runtime, and native OpenCV OpenCL pipelines.
* **Low-Level Core Priority:** Automatically elevates OS scheduling priority and forces high-performance thread-binding policies.

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## 📦 Installation

```bash
pip install fasthardware
