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.
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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.
Lightweight face tracking library optimized for CPU, delivering 30–60 fps even on older hardware without heavy neural network frameworks.