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离线ocr更新 #41
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新需求
新功能和需求
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非常强大,大佬,演示视频中的Dock栏是Windows软件吗?叫什么?😀 |
是kde plasma的面板,kde主要提供linux桌面,不知windows有没有 |
大佬,可以增加跨屏截图吗? |
跨屏截图太难了,现在没精力搞😔 |
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目前的离线ocr使用PaddleOCR的c++部署和python部署(mac下)编译而成。
这样的方式有几个缺点
我个人的能力不行衍生出不可把握的问题:原先使用离线ocr的逻辑是:保存框选区域到临时文件夹,使用编译好的二进制文件识别,输出结果并返回到eSearch,此过程耦合性较小,还会有许多奇怪的错误(比如 OCR报错 #6 中的路径配置错误)。
综上,新的离线OCR需要主要使用js语言、与nodejs耦合度较高、跨平台更快捷、同时性能不会损失太大
幸好onnx让这一设想成为可能
设想使用onnxruntime,保证执行模型时的性能
会在周末时间开发,预计3周,可能其他功能的开发会推后
目前已实现:
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