Python
License Plate Recognition at Three Thousand Frames per Second
A look at fast-plate-ocr, a lightweight library for license plate recognition that achieves up to 14,000 plates per second using compact CCT models and ONNX Runtime.
#onnxruntime
3 projects Python
How to Build a Complete Face Analysis Pipeline in a Single Python Package with the UniFace Library
UniFace consolidates face detection, alignment, embedding, segmentation, head pose, gaze tracking, and more under a single ONNX-powered Python interface.
Python
Fast CPU-Based Face Tracking Without Heavy Neural Network Frameworks
Lightweight face tracking library optimized for CPU, delivering 30–60 fps even on older hardware without heavy neural network frameworks.