ai-agent

HyperLPR: Accurate License Plate Recognition

Founders get high-performance Chinese license plate recognition with HyperLPR.
6,263 stars2,092 forksC++Guide quality 8/10Updated 2/28/2025100% free · open source
What it does

HyperLPR is a high-performance framework for recognizing Chinese license plates in images or videos.

When to use it
  • When you need to automate vehicle identification in parking lots or toll booths
  • When integrating license plate recognition into a smart city or traffic management system
  • When developing a vehicle tracking or surveillance application
Ready-to-paste prompt
python hyperlpr.py -i test.jpg -c hyperlpr.cfg
Heads up: Ensure you have OpenCV installed and properly linked, as HyperLPR relies on it for image processing, by running `apt-get install libopencv-dev` or the equivalent command for your operating system
Saves to your device
Use with Claude
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✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/hyperlpr && curl -fsSL https://workflowstacks.com/api/skills/hyperlpr/claude-skill -o ~/.claude/skills/hyperlpr/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

What's inside — free to inspect

No purchase needed

Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.

7
top-level files
8
folders
373.3M
source size
Apache-2.0
license
Key files
README_CH.md
README.md
File tree
command/
cpp/
images/
Prj-Android/
Prj-iOS/
Prj-Linux/
Prj-Python/
resource/
.gitignore
CMakeLists.txt
docker-compose.yml
Dockerfile
LICENSE
README_CH.md
README.md
Quick Actions
Details
Creator
szad670401
Language
C++
Category
ai-agent
Published
9/24/2017

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