- Canvas-based dual display (image + text) - Grid rendering system with layout support - Uniform font size rendering - Double-line small character handling - Comprehensive documentation of OCR rules and algorithms 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
32 lines
696 B
JSON
32 lines
696 B
JSON
{
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"name": "ancient-ocr-viewer",
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"version": "1.0.0",
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"description": "基于Canvas的古籍OCR识别结果可视化工具,支持图片与文字的像素级精确对照",
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"main": "index.html",
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"type": "module",
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"scripts": {
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"start": "python3 -m http.server 8801",
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"dev": "python3 -m http.server 8801",
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"serve": "python3 -m http.server 8801"
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},
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"keywords": [
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"ocr",
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"canvas",
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"古籍",
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"visualization",
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"image-comparison",
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"text-rendering"
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],
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"author": "古籍OCR项目组",
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"license": "MIT",
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"repository": {
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"type": "git",
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"url": ""
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},
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"engines": {
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"node": ">=14.0.0"
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},
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"devDependencies": {},
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"dependencies": {}
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}
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