<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[w55aa的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/w55aa</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; w55aa]]></copyright><item><title><![CDATA[AWESONE-BACKBONES跑baseline（自用）]]></title><link>https://blog.youkuaiyun.com/w55aa/article/details/145711358</link><guid>https://blog.youkuaiyun.com/w55aa/article/details/145711358</guid><author>w55aa</author><pubDate>Tue, 18 Feb 2025 17:51:39 +0800</pubDate><description><![CDATA[按照自己电脑性能在data_cfg中修改batch_size = 64 与num_workers =20 ，epoch=600。在Awesome-Backbones/models/下找到对应配置文件。在model_cfg中修改num_classes = 72。在train.py主函数修改数据集 sim / del。pretrained_weights设置为False。在Awesome-Backbones打开终端运行。在参数配置文件中修改权重路径，其余不变。ckpt = '你的训练权重路径']]></description><category></category></item><item><title><![CDATA[机器狗采样]]></title><link>https://blog.youkuaiyun.com/w55aa/article/details/144176831</link><guid>https://blog.youkuaiyun.com/w55aa/article/details/144176831</guid><author>w55aa</author><pubDate>Sun, 01 Dec 2024 23:10:18 +0800</pubDate><description><![CDATA[5.getimage.py文件在这下面。不同的采样需要修改save_folder，改成距离+物品（例如90cup）1.打开机器狗，连接tplin-3BF356 wifi。3.第一个终端复制以下指令打开机器狗的图片输出节点。2.尝试ping 192.168.123.161。4.第二个终端复制以下指令。]]></description><category></category></item><item><title><![CDATA[机器狗GO1-头部灯带SDK使用说明]]></title><link>https://blog.youkuaiyun.com/w55aa/article/details/131532077</link><guid>https://blog.youkuaiyun.com/w55aa/article/details/131532077</guid><author>w55aa</author><pubDate>Tue, 04 Jul 2023 11:59:26 +0800</pubDate><description><![CDATA[机器狗GO1头部灯带]]></description><category></category></item><item><title><![CDATA[Go1机器狗unitree_ros_to_real包example_walking代码分析]]></title><link>https://blog.youkuaiyun.com/w55aa/article/details/130371551</link><guid>https://blog.youkuaiyun.com/w55aa/article/details/130371551</guid><author>w55aa</author><pubDate>Tue, 25 Apr 2023 18:48:17 +0800</pubDate><description><![CDATA[【代码】Go1机器狗unitree_ros_to_real包example_walking代码分析。]]></description><category></category></item><item><title><![CDATA[GO1机器狗ros初尝试]]></title><link>https://blog.youkuaiyun.com/w55aa/article/details/130370959</link><guid>https://blog.youkuaiyun.com/w55aa/article/details/130370959</guid><author>w55aa</author><pubDate>Tue, 25 Apr 2023 18:41:53 +0800</pubDate><description><![CDATA[宇树go1机器狗 ros_real包运行]]></description><category></category></item><item><title><![CDATA[github项目posenet-similarity的|对比两张图片的动作相似程度得三指标cosineSimilarity、weightedDistance、cosineDistance]]></title><link>https://blog.youkuaiyun.com/w55aa/article/details/129421169</link><guid>https://blog.youkuaiyun.com/w55aa/article/details/129421169</guid><author>w55aa</author><pubDate>Sun, 16 Apr 2023 16:12:24 +0800</pubDate><description><![CDATA[posenet-similarity获取图片相似度，cosineSimilarity、weightedDistance、cosineDistance]]></description><category></category></item><item><title><![CDATA[Flask+bootstrap初尝试]]></title><link>https://blog.youkuaiyun.com/w55aa/article/details/129719313</link><guid>https://blog.youkuaiyun.com/w55aa/article/details/129719313</guid><author>w55aa</author><pubDate>Wed, 22 Mar 2023 21:10:47 +0800</pubDate><description><![CDATA[flask+bootstrap项目]]></description><category></category></item><item><title><![CDATA[tensorflow-posenet复现过程22-3-9实时骨架检测|下载官网轮子进行pip安装]]></title><link>https://blog.youkuaiyun.com/w55aa/article/details/129415697</link><guid>https://blog.youkuaiyun.com/w55aa/article/details/129415697</guid><author>w55aa</author><pubDate>Thu, 09 Mar 2023 13:36:47 +0800</pubDate><description><![CDATA[posenet-github]]></description><category></category></item><item><title><![CDATA[第一次使用git clone拉取资源]]></title><link>https://blog.youkuaiyun.com/w55aa/article/details/129368952</link><guid>https://blog.youkuaiyun.com/w55aa/article/details/129368952</guid><author>w55aa</author><pubDate>Mon, 06 Mar 2023 19:36:05 +0800</pubDate><description><![CDATA[git下载安装，git clone怎么使用，用git拉取项目]]></description><category></category></item></channel></rss>