<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>深度学习 on Logic&#39;s Lab</title>
    <link>https://logmagic.top/tags/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/</link>
    <description>Recent content in 深度学习 on Logic&#39;s Lab</description>
    <generator>Hugo -- gohugo.io</generator>
    <language>zh-cn</language>
    <lastBuildDate>Tue, 12 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://logmagic.top/tags/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>棋子检测方案升级：YOLO 目标检测替代传统 ROI 阈值</title>
      <link>https://logmagic.top/posts/yolo-stone-detection/</link>
      <pubDate>Tue, 12 May 2026 00:00:00 +0000</pubDate>
      
      <guid>https://logmagic.top/posts/yolo-stone-detection/</guid>
      <description>Phase: P1 升级 — 棋子识别方案演进 | 依赖: P0 棋盘矫正 目标: 用 YOLO 深度学习模型替代 ROI 双阈值方案，提升棋子检测准确率和光照鲁棒性。 0. 升级背景 当前的 ROI 双阈值</description>
    </item>
    
  </channel>
</rss>
