<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[sanxiaw的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/sanxiaw</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; sanxiaw]]></copyright><item><title><![CDATA[[更新]ROS2使用pcl时编译(colcon build)错误：undefined reference to `LZ4_resetStreamHC‘]]></title><link>https://blog.youkuaiyun.com/sanxiaw/article/details/134834015</link><guid>https://blog.youkuaiyun.com/sanxiaw/article/details/134834015</guid><author>sanxiaw</author><pubDate>Wed, 06 Dec 2023 16:15:23 +0800</pubDate><description><![CDATA[安装pcl,则没有相应的link.txt文件）如果已经是源码安装，则跳过。1）通过源码安装PCL。]]></description><category></category></item><item><title><![CDATA[Ubuntu 22.04 : ubuntu切换Anaconda和系统自带Python]]></title><link>https://blog.youkuaiyun.com/sanxiaw/article/details/134511591</link><guid>https://blog.youkuaiyun.com/sanxiaw/article/details/134511591</guid><author>sanxiaw</author><pubDate>Mon, 20 Nov 2023 16:21:30 +0800</pubDate><description><![CDATA[Ubuntu 22.04 : ubuntu切换Anaconda和系统自带Python]]></description><category></category></item><item><title><![CDATA[最新版TVM在Windows10下编译安装[基于conda]]]></title><link>https://blog.youkuaiyun.com/sanxiaw/article/details/133019329</link><guid>https://blog.youkuaiyun.com/sanxiaw/article/details/133019329</guid><author>sanxiaw</author><pubDate>Tue, 19 Sep 2023 16:33:13 +0800</pubDate><description><![CDATA[TVM在Windows10下编译安装教程]]></description><category></category></item><item><title><![CDATA[pytorch模型转onnx模型问题汇总]]></title><link>https://blog.youkuaiyun.com/sanxiaw/article/details/132839440</link><guid>https://blog.youkuaiyun.com/sanxiaw/article/details/132839440</guid><author>sanxiaw</author><pubDate>Tue, 12 Sep 2023 20:07:04 +0800</pubDate><description><![CDATA[pytorch模型转onnx模型问题汇总]]></description><category></category></item><item><title><![CDATA[[转载+总结] windows系统利用docker搭建linux深度学习环境总结]]></title><link>https://blog.youkuaiyun.com/sanxiaw/article/details/131226540</link><guid>https://blog.youkuaiyun.com/sanxiaw/article/details/131226540</guid><author>sanxiaw</author><pubDate>Thu, 15 Jun 2023 14:10:45 +0800</pubDate><description><![CDATA[windows系统利用docker搭建linux深度学习环境总结]]></description><category></category></item><item><title><![CDATA[【在Win10上安装使用RKNN工具+通过docker方式安装】]]></title><link>https://blog.youkuaiyun.com/sanxiaw/article/details/131090930</link><guid>https://blog.youkuaiyun.com/sanxiaw/article/details/131090930</guid><author>sanxiaw</author><pubDate>Wed, 07 Jun 2023 16:40:45 +0800</pubDate><description><![CDATA[在Win10上安装使用RKNN工具]]></description><category></category></item><item><title><![CDATA[labelImg Error loading internal MIME data]]></title><link>https://blog.youkuaiyun.com/sanxiaw/article/details/129432637</link><guid>https://blog.youkuaiyun.com/sanxiaw/article/details/129432637</guid><author>sanxiaw</author><pubDate>Thu, 09 Mar 2023 22:21:45 +0800</pubDate><description><![CDATA[labelImg 在 python3.10 版本进行标注的时候报错:QMimeDatabase: Error loading internal MIME data。一个解决办法是将 Python 版本降到3.9]]></description><category></category></item><item><title><![CDATA[【TensorRT】TensorRT was linked against cudnn 8.6.0 but loaded cudnn 8.3.2]]></title><link>https://blog.youkuaiyun.com/sanxiaw/article/details/128017373</link><guid>https://blog.youkuaiyun.com/sanxiaw/article/details/128017373</guid><author>sanxiaw</author><pubDate>Thu, 24 Nov 2022 14:46:51 +0800</pubDate><description><![CDATA[在使用windows TensorRT发布模型和推理发布的trt模型时出现警告，并且发现推理速度很慢，以及提示错误 TensorRT was linked against cudnn x.x.x but loaded cudnn x.x.x.]]></description><category></category></item><item><title><![CDATA[pip安装成功，pycharm无法加载依赖库的可能问题]]></title><link>https://blog.youkuaiyun.com/sanxiaw/article/details/127906945</link><guid>https://blog.youkuaiyun.com/sanxiaw/article/details/127906945</guid><author>sanxiaw</author><pubDate>Thu, 17 Nov 2022 16:53:17 +0800</pubDate><description><![CDATA[pip安装成功，pycharm无法加载依赖库的可能原因是：项目的python解释器与实际所需的python解释器不一致。]]></description><category></category></item><item><title><![CDATA[Win10 安装 Tensorrt和torch2trt教程]]></title><link>https://blog.youkuaiyun.com/sanxiaw/article/details/127882541</link><guid>https://blog.youkuaiyun.com/sanxiaw/article/details/127882541</guid><author>sanxiaw</author><pubDate>Wed, 16 Nov 2022 19:42:25 +0800</pubDate><description><![CDATA[win10操作系统和英伟达3090显卡环境下安装tensorrt和torch2trt教程。]]></description><category></category></item><item><title><![CDATA[pytorch Dataloader Sampler理解(多处转载)]]></title><link>https://blog.youkuaiyun.com/sanxiaw/article/details/120287700</link><guid>https://blog.youkuaiyun.com/sanxiaw/article/details/120287700</guid><author>sanxiaw</author><pubDate>Tue, 14 Sep 2021 15:01:26 +0800</pubDate><description><![CDATA[1.PyTorch 笔记2.DataLoader
https://zhuanlan.zhihu.com/p/400830261
2.pytorch Dataloader Sampler参数深入理解
https://blog.youkuaiyun.com/Chinesischguy/article/details/103198921
3. Pytorch Sampler详解
https://zhuanlan.zhihu.com/p/82985227
4. pytorch-DataLoader（数据迭代器）
https:/]]></description><category></category></item><item><title><![CDATA[加载数据操作不当，导致tensorflow 训练越来越慢的原因]]></title><link>https://blog.youkuaiyun.com/sanxiaw/article/details/105638905</link><guid>https://blog.youkuaiyun.com/sanxiaw/article/details/105638905</guid><author>sanxiaw</author><pubDate>Mon, 20 Apr 2020 17:03:44 +0800</pubDate><description><![CDATA[在Session后的循环中加载数据时，对数据进行了tf.reshape, tf.transpose等操作，将原始narray格式的数据变成了tensor,会导致该步骤添加到计算图中，导致计算图越来越大以及ensorflow 训练越来越慢的原因。
加载数据格式：.mat
加载方式：scio.loadmat(file_path) #
错误格式：
x_in = tf.compat.vi.placehol...]]></description><category></category></item><item><title><![CDATA[Python 列表(List)]]></title><link>https://blog.youkuaiyun.com/sanxiaw/article/details/105493641</link><guid>https://blog.youkuaiyun.com/sanxiaw/article/details/105493641</guid><author>sanxiaw</author><pubDate>Mon, 13 Apr 2020 17:37:51 +0800</pubDate><description><![CDATA[《Python 列表(List)》
《Python numpy 提取矩阵的某一行或某一列》
转载网址：
https://www.runoob.com/python/python-lists.html
https://blog.youkuaiyun.com/luoganttcc/article/details/74080768

...]]></description><category></category></item><item><title><![CDATA[Python 简明教程—2018 中文翻译版]]></title><link>https://blog.youkuaiyun.com/sanxiaw/article/details/105076313</link><guid>https://blog.youkuaiyun.com/sanxiaw/article/details/105076313</guid><author>sanxiaw</author><pubDate>Tue, 24 Mar 2020 17:14:35 +0800</pubDate><description><![CDATA[Python 简明教程—2018 中文翻译版网址：
https://learnku.com/docs/byte-of-python/2018

]]></description><category></category></item><item><title><![CDATA[Python——for表达式（内容1）]]></title><link>https://blog.youkuaiyun.com/sanxiaw/article/details/104908810</link><guid>https://blog.youkuaiyun.com/sanxiaw/article/details/104908810</guid><author>sanxiaw</author><pubDate>Mon, 16 Mar 2020 21:32:05 +0800</pubDate><description><![CDATA[**
Python——for表达式
**
转载自：
https://www.cnblogs.com/mingmingming/p/11055282.html，2020-03-16
一、for表达式
1、for表达式语法格式及用法
for表达式利用可迭代对象创建新的列表，for表达式也称为列表推导式，具体语法格式如下：
[表达式 for 循环计数器 in 可迭代对象]

例：
a = [ i + i...]]></description><category></category></item><item><title><![CDATA[tf.nn.conv3d使用‘VALID’和‘SAME’模式导致卷积结果不同，问题在哪里？]]></title><link>https://blog.youkuaiyun.com/sanxiaw/article/details/104507363</link><guid>https://blog.youkuaiyun.com/sanxiaw/article/details/104507363</guid><author>sanxiaw</author><pubDate>Tue, 25 Feb 2020 22:42:28 +0800</pubDate><description><![CDATA[x shape为[10,103,5,5,1]
w shape为[103,3,3,1,128]
（1）执行
A = tf.nn.conv3d(x,w,strides=[1,1,1,1,1], padding=‘VALID’)
#A的shape为
[10, 1, 3, 3, 128]
（2）执行
A = tf.nn.conv3d(x,w,strides=[1,1,1,1,1], padding=‘SA...]]></description><category></category></item><item><title><![CDATA[Variable model_definition/batch_normalization_5/gamma does   #not exist, or was not created wi]]></title><link>https://blog.youkuaiyun.com/sanxiaw/article/details/104467435</link><guid>https://blog.youkuaiyun.com/sanxiaw/article/details/104467435</guid><author>sanxiaw</author><pubDate>Sun, 23 Feb 2020 21:28:49 +0800</pubDate><description><![CDATA[**问题描述：**一个子程序中添加两个BN层，但是只用一个bool类型变量赋给 training参数，但是BN后的结果都没有单独命名，导致出错。
报错信息：
Variable model_definition/batch_normalization_5/gamma does #not exist, or was not created with tf.get_variable(). Did you...]]></description><category></category></item></channel></rss>