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Source channel @githubtrending · Post #14963 · Jul 16

#jupyter_notebook SAM 2 is a powerful new AI model that can quickly and accurately separate objects in both images and videos, even if it has never seen them before. It works in real-time, allowing you to select objects with simple prompts like clicks or boxes and refine the results interactively. This makes tasks like video editing, object tracking, and image annotation much easier and faster. SAM 2’s ability to handle complex scenes and track objects smoothly across video frames helps improve creativity and productivity in many fields, from media production to computer vision research. It is open-source and easy to use with Python and PyTorch. https://github.com/facebookresearch/segment-anything

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@JianjiaoPD · Post #10927 · 05/12/2026, 03:34 AM

✈️ 开发者自荐 | TradingAgents:把股票代码发给 Bot 让 AI 进行分析 🏷 检索标签:#TradingAgentsTelegram#TradingAgents#TGBot#股票分析#AI#股票 ⭐️ 详情介绍:TradingAgents-Telegram 是一个基于 TradingAgents 的 TG Bot 项目,发股票代码给 Bot,就能看 AI 对股票、市场情绪和观点做分析。适合已经在看 TradingAgents,但不想每次都打开 Terminal 的人,聊天式操作比命令行会轻便很多 分析内容还能通过 Telegraph 输出,分享和回看都方便一些;且支持 自己docker compose部署 📖GitHub·TradingAgents ✈️ 来源:@IvanWng97 开发者投稿 😌频道 |🙂群聊 |😋中文包 |☺️搜索