Ross ROSS = Recommend OSS · open-source software intelligence for agents

szad670401/HyperLPR

High Performance Chinese License Plate Recognition Framework. observed · 2026-08-28

github.com/szad670401/HyperLPR · C++ · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

27/100

  • Activity 9
  • Release rhythm 8
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3265
  • days_rel: n/a
  • days_push: 551
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

6255 stars · 2092 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

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

library · maturity active

computer-vision image-processing ocr machine-learning deep-learning http-server computer-vision image-processing artificial-intelligence cross-platform python cpp windows cross-platform license-plate-recognition chinese-license-plates alpr opencv tensorflow webapi android-sdk android linux macos

1 source

Member repositories

RepositoryRoleHealth v2
szad670401/HyperLPRmain27

For agents

markdown · JSON · MCP: product_card(name="szad670401/HyperLPR")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem