{"skill":{"slug":"ollama-vision","displayName":"ollama-vision","summary":"本地调用 Ollama qwen3-vl:4b 模型自动压缩并分析图片，支持描述、OCR 文字提取和自定义信息抽取。","tags":{"latest":"1.0.0"},"stats":{"comments":0,"downloads":375,"installsAllTime":0,"installsCurrent":0,"stars":0,"versions":1},"createdAt":1773191708700,"updatedAt":1777525831031},"latestVersion":{"version":"1.0.0","createdAt":1773191708700,"changelog":"使用 Ollama 本地视觉模型进行图像分析，支持 OCR、文字提取、图像描述等功能。默认使用qwen3-vl:4b模型，记得在ollama下载并运行这个模型。\n具体功能如下：\n自动压缩：超过 2MB 的图片会自动压缩后再分析\n多模式分析：describe（描述）、ocr（文字提取）、extract（自定义提取）\n临时文件清理：压缩产生的临时文件会自动删除\n质量优先：优先降低 JPEG 质量，必要时缩小尺寸\n\n建议：至少要4-6G显存，方便运行模型\n\nTags: vision, ollama, image-analysis, 本地","license":"MIT-0"},"metadata":null,"owner":{"handle":"lzm2023","userId":"s17dws38xdm1xdqphwce92wew583htk7","displayName":"LZM2023","image":"https://avatars.githubusercontent.com/u/133074322?v=4"},"moderation":null}