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sincebyte committed Aug 7, 2024
1 parent 6c4f1bb commit 92a47c9
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4 changes: 2 additions & 2 deletions index.xml
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Expand Up @@ -12,9 +12,9 @@
<atom:link href="/index.xml" rel="self" type="application/rss+xml" />
<item>
<title>Yolo V8</title>
<link>/posts/yolov8/</link>
<link>/posts/yolo-v8/</link>
<pubDate>Wed, 07 Aug 2024 15:12:28 +0800</pubDate>
<guid>/posts/yolov8/</guid>
<guid>/posts/yolo-v8/</guid>
<description>&lt;p&gt;Ultralytics YOLOv8 和 Darknet 是与 YOLO(You Only Look Once)目标检测模型相关的两个不同实现。它的主要特点是将目标检测问题视为回归问题,直接在图像上预测边界框和类别。&lt;/p&gt;</description>
</item>
<item>
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2 changes: 1 addition & 1 deletion posts/h2-usage/index.html
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Expand Up @@ -364,7 +364,7 @@ <h2 id="ejc-connection">ejc Connection</h2>
<span class="text-primary-text block font-bold"
>Previous</span
>
<a href="../../posts/yolov8/" class="block">Yolo V8</a>
<a href="../../posts/yolo-v8/" class="block">Yolo V8</a>

</div>
<div class="mt-4 md:mt-0 md:text-right">
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4 changes: 2 additions & 2 deletions posts/index.html
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"position": 1 ,
"name": "Yolo V8",
"description": "\u003cp\u003eUltralytics YOLOv8 和 Darknet 是与 YOLO(You Only Look Once)目标检测模型相关的两个不同实现。它的主要特点是将目标检测问题视为回归问题,直接在图像上预测边界框和类别。\u003c/p\u003e",
"url": "/posts/yolov8/"
"url": "/posts/yolo-v8/"
},{
"@type":"ListItem",
"position": 2 ,
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<div class="w-full ">
<div class="prose">
<a href="../posts/yolov8/" class="no-underline">
<a href="../posts/yolo-v8/" class="no-underline">
<h3 class="mt-0">Yolo V8</h3>
</a>

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4 changes: 2 additions & 2 deletions posts/index.xml
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Expand Up @@ -12,9 +12,9 @@
<atom:link href="/posts/index.xml" rel="self" type="application/rss+xml" />
<item>
<title>Yolo V8</title>
<link>/posts/yolov8/</link>
<link>/posts/yolo-v8/</link>
<pubDate>Wed, 07 Aug 2024 15:12:28 +0800</pubDate>
<guid>/posts/yolov8/</guid>
<guid>/posts/yolo-v8/</guid>
<description>&lt;p&gt;Ultralytics YOLOv8 和 Darknet 是与 YOLO(You Only Look Once)目标检测模型相关的两个不同实现。它的主要特点是将目标检测问题视为回归问题,直接在图像上预测边界框和类别。&lt;/p&gt;</description>
</item>
<item>
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Binary file added posts/yolo-v8/IMG_5278.jpeg
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