sirius-ai/LPRNet_Pytorch

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1156 stars · 280 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A PyTorch implementation of LPRNet, a lightweight deep neural network for license plate recognition. It ships with pretrained weights focused on Chinese blue and green (new energy) plates and supports training on custom datasets.

Use cases

• recognize license plates from images
• train a license plate recognition model on my own dataset
• run lightweight ALPR inference on a GPU
• fine-tune plate recognition for other countries' plates
• test LPRNet accuracy on a custom plate dataset

When to choose

• you need fast, lightweight license plate character recognition (1.7MB model, sub-millisecond GPU inference)
• you work primarily with Chinese blue/green plates or can fine-tune for others
• you want a PyTorch codebase with pretrained weights to build on

When to avoid

• you need full ALPR pipelines including plate detection and localization out of the box
• you need production support, frequent updates, or a maintained release cycle
• you need recognition of many international plate formats without training data

Facets

library · maturity stable

machine-learning deep-learning computer-vision ocr image-processing computer-vision image-processing deep-learning machine-learning python cross-platform license-plate-recognition lprnet pytorch ctc-loss alpr pretrained-model

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markdown · JSON · MCP: product_card(name="sirius-ai/LPRNet_Pytorch")