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EasyPR
liuruoze/EasyPR
(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate Contest on Smart-city Technology and Creative Design
★6.4kstars
C++
Apache-2.0
Updated: Today
📋 Project at a Glance
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What's this?A artificial-intelligence/artificial-neural-networks tool in the Models category, built with C++, open-source
Who made it?Maintained by liuruoze team, 6.4K⭐ on GitHub, #237 out of 3201 in Models
Why does it exist?The liuruoze team recognized that existing artificial-intelligence tools in Models were hard to use. EasyPR was designed to make artificial-neural-networks more accessible.
What can it do?Key use cases: chinese-characters, computer-vision, datasets
How to install with AI?Use an AI coding assistant to follow the README and automatically handle the install and environment setup.
🔗 github.com/liuruoze/EasyPR
🔗 github.com/liuruoze/EasyPR
Topics
artificial-intelligenceartificial-neural-networkschinese-characterscomputer-visiondatasetsmachine-learningopencvopencv3plate-recognitionsupervised-learningsupport-vector-machinesunconstrained-situation