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	<title>nanodet - 四号程序员</title>
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		<title>NanoDet目标检测之&quot;微调训练&quot;</title>
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		<pubDate>Wed, 11 Sep 2024 06:54:19 +0000</pubDate>
				<category><![CDATA[机器学习]]></category>
		<category><![CDATA[nanodet]]></category>
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		<category><![CDATA[自定义数据]]></category>
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					<description><![CDATA[在 《NanoDet目标检测之"搭建预测篇"》 中，我们搭建了NanoDet的环境，并用默认权重做了简单的预测，本节我们继续用自己的数据做微调。 1 准备数据 NanoDet支持yolo或者coco格式的标注，自行准备即可，我这里以yolo为例，目录结构如下： TODO xxx 2 配置 我们需要融合下两个配置文件，复制： cp nanodet-plus-m_320.yml nanodet-plus-m_320_face.yml 修改1，保存位置： save_dir: wo[......] 继续阅读]]></description>
		
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		<title>NanoDet目标检测之&quot;搭建预测篇&quot;</title>
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		<pubDate>Wed, 11 Sep 2024 06:47:58 +0000</pubDate>
				<category><![CDATA[机器学习]]></category>
		<category><![CDATA[nanodet]]></category>
		<category><![CDATA[ncnn]]></category>
		<category><![CDATA[搭建]]></category>
		<category><![CDATA[目标检测]]></category>
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					<description><![CDATA[NanoDet是一个基于ShuffleNetV2的轻量级的目标检测模型，配合ncnn框架加速后，在中端Android机型能做到20fps+ 1 安装环境 为了避免冲突，需要安装好conda，Python 3.8+ 安装依赖包 git clone https://github.com/RangiLyu/nanodet.git cd nanodet pip install -r requirements.txta 安装代码 python setup.py develop 2 下[......] 继续阅读]]></description>
		
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