手写汉字识别库 (Digital Ink Kit)
Project description
dinkit
Digital Ink Kit — 手写汉字识别库。
安装
pip install dinkit
快速开始
from dinkit import recognize
strokes = [
[[312, 211], [312, 215], ...], # 第一笔
[[382, 363], [401, 358], ...], # 第二笔
# ...
]
result = recognize(strokes)
print(result)
# {'我': 3049, '找': 3784, '戌': 4144, ...}
笔迹格式:每个子列表代表一笔,内含 [x, y] 坐标点。
连续识别
如需多次识别,使用 Recognizer 复用引擎实例:
from dinkit import Recognizer
with Recognizer() as reco:
result1 = reco.recognize(strokes1)
result2 = reco.recognize(strokes2)
项目结构
dinkit/
├── dinkit/ # Python 包
│ ├── __init__.py # recognize() 入口
│ ├── recognizer.py # Recognizer 类
│ ├── _native.py # ctypes 原生绑定
│ └── lib/ # 平台动态库 (.so / .dll / .dylib)
├── native/ # C/C++ 识别引擎源码
├── tests/ # 测试
└── project/qt/ # Qt 手写识别演示程序
开发环境
在项目根目录安装可编辑包(IDE 调试和测试需要先执行此步骤):
pip install -e .
运行测试:
pytest tests/
# 或
python tests/test_recognize.py
若尚未编译原生库,需先构建并复制到 Python 包:
mkdir -p build && cd build && cmake .. && cmake --build .
cp libdinkit.* ../dinkit/lib/
从源码构建原生库
mkdir build && cd build
cmake ..
make
cp libdinkit.* ../dinkit/lib/ # 复制到 Python 包
Qt 演示程序(汉字守卫战)
手写汉字闯关游戏:按提示写字,根据识别候选排名计分,完成后查看总成绩。
mkdir -p build && cd build
cmake .. -DBUILD_QT_DEMO=ON
cmake --build .
./project/qt/dinkit_demo
向后兼容
旧版 API 仍可使用:
from dinkit import Recognize
reco = Recognize()
result = reco.Single(strokes)
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