cy-yologic 1.0.1

Extreme Speed YOLO Pose Pipeline with Cythonized Logic

Markdown

🚀 yologic (v1.0.0)

Extreme Speed Real-Time YOLO Pose Pipeline with Cythonized C-Logic

yologic is a high-performance wrapper for ultralytics YOLOv8-Pose, specifically engineered to eliminate Python's runtime overhead in real-time vision applications. Developed by choiungyo.

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🔥 Key Features

1. ⚡ Cythonized Core (logic_yolo): All heavy mathematical computations (Spine angle calculation, movement delta analysis) are pre-compiled into native C code, reducing latency to near zero.
2. 📸 FastVideoStream: A specialized non-blocking camera buffer that prevents frame-drop and synchronization lag common in standard OpenCV read() loops.
3. 🛠️ Hardware Agnostic: Optimized to work seamlessly with both NVIDIA CUDA and OpenVINO (Intel iGPU) environments.

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📦 Installation

pip install cy_yologic

💻 Quick Start

from ultralytics import YOLO
import cy_yologic

# 1. Load your YOLO model
model = YOLO('yolov8n-pose.pt')

# 2. Run the extreme-speed pipeline
cy_yologic.run_yolo_pipeline(model_instance=model, cam_src=0)

📄 License MIT License. Developed with passion for extreme performance by choiungyo.