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因为10年前及以上出版的pdf书籍大多没有源文本,靠的是机器扫描成图片的形式做成的pdf。导致我想抓取文本做成本地知识库的时候,没有源数据。而传统的OCR识别正确率太低(问就是试过了依托答辩)所以做了个自动ai ocr的python脚本把数据识别抓取出来。 > > > > OCR(Optical Character Recognition,光学字符识别)是一种将图像中的文字转换为可编辑文本的技术。它广泛应用于文档数

active 2025-03-042025-03-04 (UTC)

Complete coverage26,505 / 26,505 hourly files (100%) · 2 absent upstream2023-08-152026-08-23 (UTC)
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Line chart, 1 days from 2025-03-04 to 2025-03-04. Pushes: 3 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

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Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

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buynonsense3300

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  • Releasebuynonsense2025-03-04 13:46
    v1.0.0 第一个版本

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.