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Source channel @olddriverGDstudy · Post #40 · Mar 17

秀哥语录: 开水烫鸡把,锻炼起来 123的兄弟,我给你们说个方法 蛮有效的,就是开水烫几把 你每天洗澡的时候,水温稍微调高一点点 比如平时40度,你就45 用淋浴头冲,冲龟头,每天冲个五分钟 正经点,靠,虽然开水烫几把名字不正经 但是真的有用 你快,是因为敏感,每天冲,可以降低敏感度 一边冲,一边两个指头按压捏,每天五分钟 养成习惯,慢慢就好了 到后期,你可以用毛巾,湿水 然后慢慢尝试那毛巾擦龟头,上下撸 什么时候毛巾擦龟头,你不抖了,就好了 慢慢来啊,过犹不及,慢慢锻炼,降低龟头敏感度 可以尝试下,多少有点用 另外就是心里调节了 不要老是想,不要在意长短 学会去享受,要自信,自我暗示,我是来爽的,不是来比赛的 心里 生理 双管齐下,从此告别123 #秀哥语录#语录

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GitHub Trends

@githubtrending · Post #15163 · 09/24/2025, 07:30 PM

#python#document_analysis#layout_analysis#ocr#parser#pdf#pdf_converter#pdf_parser#python#vlm_ocr Dolphin is a smart AI tool that can analyze and understand complex document images, like pages with text, tables, formulas, and pictures. It works in two steps: first, it figures out the layout and reading order of the page; then, it quickly parses each element using special prompts. This makes it fast and accurate for turning document images into structured data like JSON or Markdown. You can use pre-trained models and easy code to process single pages, PDFs, or specific elements. This helps you save time and effort when extracting information from complicated documents efficiently. https://github.com/bytedance/Dolphin

GitHub Trends

@githubtrending · Post #15573 · 03/19/2026, 11:30 AM

#java#a11y#accessibility#ai#bounding_box#document_parsing#eaa#html#json#markdown#ocr#ocr_recognition#pdf#pdf_accessibility#pdf_converter#pdf_extraction#pdf_parser#pdf_ua#rag#tables#tagged_pdf OpenDataLoader PDF is a free, open-source tool (Apache 2.0) that tops benchmarks with 0.90 accuracy for extracting structured data like Markdown, JSON (with bounding boxes), and HTML from any PDF—digital, scanned, or complex with tables, formulas, charts, and OCR in 80+ languages. It runs locally on CPU (0.05s/page fast mode), filters AI prompt injections for safety, integrates with LangChain/RAG, and automates accessibility tagging to Tagged PDF. You save time and costs on parsing for AI pipelines or compliance (vs. $50–200/manual doc), getting precise, private results for better LLM apps and legal standards. https://github.com/opendataloader-project/opendataloader-pdf