HyperLPR: Accurate License Plate Recognition
From the repo · “High Performance Chinese License Plate Recognition Framework.”
HyperLPR is a high-performance framework for recognizing Chinese license plates in images or videos.
- •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
python hyperlpr.py -i test.jpg -c hyperlpr.cfg
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/hyperlpr && curl -fsSL https://workflowstacks.com/api/skills/hyperlpr/claude-skill -o ~/.claude/skills/hyperlpr/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
HyperLPR: Accurate License Plate Recognition is a medium C++ project (~6.5k lines across 96 code files, plus 8 test files). Setup is light: runs with Docker. Last commit 19 months ago, Apache-2.0 license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2command/build_arm7.shInside command/ — an example of what the AI is told to do
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/hyperlpr && curl -fsSL https://workflowstacks.com/api/skills/hyperlpr/claude-skill -o ~/.claude/skills/hyperlpr/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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