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  • mindee doctr: docTR (Document Text Recognition) - GitHub
    docTR was originally created by Mindee It is now actively developed and maintained by t2k GmbH What you can expect from this repository: End-to-End OCR is achieved in docTR using a two-stage approach: text detection (localizing words), then text recognition (identify all characters in the word)
  • docTR: Document Text Recognition — docTR documentation
    State-of-the-art Optical Character Recognition made seamless accessible to anyone, powered by PyTorch DocTR provides an easy and powerful way to extract valuable information from your documents:
  • python-doctr · PyPI
    Document Text Recognition (docTR): deep Learning for high-performance OCR on documents
  • Find Clinics Book Appointments | Doctr
    Find clinics, explore online consultations and get help booking a walk-in appointment Discover your care options with Doctr
  • 如何使用 docTR:开源文档文本识别库的完整指南-CSDN博客
    docTR是一款基于深度学习的开源文档文本识别库,支持高精度OCR、关键信息提取和多语言文本检测。
  • GitHub - fh2019ustc DocTr: The official code for “DocTr: Document Image . . .
    DocTr consists of two main components: a geometric unwarping transformer (GeoTr) and an illumination correction transformer (IllTr) For geometric unwarping, we train the GeoTr network using the Doc3D and DTD dataset
  • docTR:几行 Python 把 PDF 和图片里的文字整页取出来
    一句话结论 docTR(Document Text Recognition)是一个用 PyTorch 写的深度学习 OCR(光学字符识别)库,几行 Python 代码就能把 PDF 或图片里的文字整页取出来——而且不只是把字抠出来,还能告诉你每个词在页面上的精确位置。
  • 文档矫正Doctr++解读 - 知乎
    前言:Doctr++是目前最优的文档矫正方法(20230714),由中科院研发,第一篇对输入不限制的基于学习的文档矫正方法。 文档矫正可以用于各类用于拍摄角度、光照、文档实体畸形导致的扭曲文档情况,提升后续文档分析…
  • Doctr | Healthcare for Every Community
    More than an app A healthcare system built around you Doctr connects you with physicians, specialists, behavioral health providers, and community wellness One platform, accessible from any device
  • docTR documentation - GitHub Pages
    State-of-the-art Optical Character Recognition made seamless accessible to anyone, powered by PyTorch DocTR provides an easy and powerful way to extract valuable information from your documents:





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