# szad670401/HyperLPR

High Performance Chinese License Plate Recognition Framework.

Repository: https://github.com/szad670401/HyperLPR
Canonical: https://ross.abutalabs.com/products/hyperlpr
Language: C++
License: Apache-2.0
License Family: permissive
Topics: deep-learning, plate-recognition, android, cpp, tensorflow
Last push: 2025-02-28T06:55:02+00:00

## Health v2 (maintenance only)
Score: 27/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 9, release rhythm 8, longevity 100
- inputs: {"age_days": 3265, "days_push": 551, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 6255, forks 2092 (observed 2026-08-28T04:09:41.055693+00:00)

## What it is
HyperLPR3 is a high-performance open-source framework for recognizing Chinese license plates, built with deep learning and available as a Python package, C/C++ library, and Android SDK. It supports real-time recognition on CPU, multi-plate and large-angle detection, and can be served as a REST API with SwaggerUI.

## Use cases
- recognize Chinese license plates from images
- detect license plates in real-time video streams on CPU
- deploy a license plate recognition REST API service
- integrate plate recognition into an Android app
- run plate recognition on Raspberry Pi or embedded devices

## When to choose
- you need to recognize Chinese license plates with high accuracy and speed
- you want a pip-installable solution with a CLI and REST API out of the box
- you need cross-platform deployment including Android, Linux, macOS, and Raspberry Pi

## When to avoid
- you need to recognize non-Chinese license plates
- you need to retrain the model on your own data, since training data and full training code are not provided
- you need guaranteed legal compliance for plate data usage

## Facets
- artifact type: library
- maturity: active
- function: computer-vision, image-processing, ocr, machine-learning, deep-learning, http-server
- domain: computer-vision, image-processing, artificial-intelligence, cross-platform
- platform: python, cpp, windows, cross-platform
- tags: license-plate-recognition, chinese-license-plates, alpr, opencv, tensorflow, webapi, android-sdk, android, linux, macos

## Member repositories
- szad670401/HyperLPR (main) score 27

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:41.055693+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:46:35.588243+00:00, confidence not recorded.
  - readme: https://github.com/szad670401/HyperLPR (fetched 2026-08-28T04:09:41.055693+00:00, sha 0b77c58f9d99)
- Data as of 2026-08-30T08:39:29.467469+00:00.