<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[u012114438的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/u012114438</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; u012114438]]></copyright><item><title><![CDATA[python3环境下pytorch模型转onnx部署tensorRT]]></title><link>https://blog.youkuaiyun.com/u012114438/article/details/104558119</link><guid>https://blog.youkuaiyun.com/u012114438/article/details/104558119</guid><author>u012114438</author><pubDate>Tue, 17 Mar 2020 09:48:48 +0800</pubDate><description><![CDATA[1.python环境下安装tensorRT

#在home下新建文件夹，命名为tensorrt_tar，然后将下载的压缩文件拷贝进来解压
tar xzvf TensorRT-5.0.2.6.Ubuntu-16.04.4.x86_64-gnu.cuda-9.0.cudnn7.3.tar
#解压得到TensorRT-5.0.2.6的文件夹，将里边的lib绝对路径添加到环境变量中
export LD_L...]]></description><category></category></item><item><title><![CDATA[显卡驱动报错：NVIDIA-SMI has failed because it couldn’t communicate with the NVIDIA driver.]]></title><link>https://blog.youkuaiyun.com/u012114438/article/details/104425573</link><guid>https://blog.youkuaiyun.com/u012114438/article/details/104425573</guid><author>u012114438</author><pubDate>Fri, 21 Feb 2020 12:47:19 +0800</pubDate><description><![CDATA[使用nvidia-smi报错：

NVIDIA-SMI has failed because it couldn’t communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running

这是一个常见问题，经常出现在ubuntu系统中，主要原因还是系统内核升级了，导...]]></description><category></category></item><item><title><![CDATA[/usr/lib/x86_64-linux-gnu/libopencv_highgui.so: undefined reference to `TIFFReadRGBAStrip@LIBTIFF_4]]></title><link>https://blog.youkuaiyun.com/u012114438/article/details/103970287</link><guid>https://blog.youkuaiyun.com/u012114438/article/details/103970287</guid><author>u012114438</author><pubDate>Tue, 14 Jan 2020 14:18:37 +0800</pubDate><description><![CDATA[/usr/lib/x86_64-linux-gnu/libopencv_highgui.so: undefined reference to `TIFFReadRGBAStrip@LIBTIFF_4.0'
/usr/lib/x86_64-linux-gnu/libopencv_highgui.so: undefined reference to `TIFFIsTiled@LIBTIFF_4.0'
...]]></description><category></category></item><item><title><![CDATA[python的cv2.warpAffine()和cv2.warpPerspective()解析对比]]></title><link>https://blog.youkuaiyun.com/u012114438/article/details/102613492</link><guid>https://blog.youkuaiyun.com/u012114438/article/details/102613492</guid><author>u012114438</author><pubDate>Fri, 18 Oct 2019 20:00:29 +0800</pubDate><description><![CDATA[1、cv2.warpAffine()放射变换函数，可实现旋转，平移，缩放；变换后的平行线依旧平行

cv2.warpAffine(src, M, dsize, dst=None, flags=None, borderMode=None, borderValue=None) --&gt; dst

src：输入图像   dst：输出图像

M：2×3的变换矩阵

dsize：变换后输出图像尺寸
...]]></description><category></category></item><item><title><![CDATA[FaceBoxes：A CPU Real-time Face Detector with High Accuracy 论文翻译和解析]]></title><link>https://blog.youkuaiyun.com/u012114438/article/details/99773808</link><guid>https://blog.youkuaiyun.com/u012114438/article/details/99773808</guid><author>u012114438</author><pubDate>Mon, 19 Aug 2019 23:52:31 +0800</pubDate><description><![CDATA[论文地址https://arxiv.org/pdf/1708.05234.pdf

开源代码https://github.com/sfzhang15/FaceBoxes(若失效直接复制链接打开)

摘要

   虽然在人脸检测方面已经取得了巨大进展，但有效的人脸检测模型往往在计算上难以实现，因此在CPU上达到实时速度并且保持高性能仍是一个开放性挑战之一。为了解决这个挑战，我们提出了一...]]></description><category></category></item><item><title><![CDATA[ubuntu下安装python3.6及以上版本出现pip3报错等问题]]></title><link>https://blog.youkuaiyun.com/u012114438/article/details/83578113</link><guid>https://blog.youkuaiyun.com/u012114438/article/details/83578113</guid><author>u012114438</author><pubDate>Wed, 31 Oct 2018 13:03:45 +0800</pubDate><description><![CDATA[在ubuntu系统下，系统默认python2.7和python3.5，但需要使用更高的python版本的pip3时可能遇到的错误

问题一：

Traceback (most recent call last):
  File &quot;/usr/bin/pip3&quot;, line 9, in &amp;lt;module&amp;gt;
    from pip import main
ImportError: canno...]]></description><category></category></item><item><title><![CDATA[ubuntu安装caffe+cuda+cudnn+nvidia驱动]]></title><link>https://blog.youkuaiyun.com/u012114438/article/details/83578715</link><guid>https://blog.youkuaiyun.com/u012114438/article/details/83578715</guid><author>u012114438</author><pubDate>Wed, 31 Oct 2018 13:03:22 +0800</pubDate><description><![CDATA[1、nvidia驱动安装

先卸载原有N卡驱动
sudo apt-get remove --purge nvidia*
sudo apt-get --purge remove xserver-xorg-video-nouveau
若已经安装nvidia驱动，需则要卸载
sudo ./NVIDIA-Linux-x86_64-384.59.run --uninstall

下载官方驱动程序 
htt...]]></description><category></category></item><item><title><![CDATA[ubuntu下编译安装opencv3]]></title><link>https://blog.youkuaiyun.com/u012114438/article/details/83578933</link><guid>https://blog.youkuaiyun.com/u012114438/article/details/83578933</guid><author>u012114438</author><pubDate>Wed, 31 Oct 2018 13:02:44 +0800</pubDate><description><![CDATA[更新 apt-get（在安装前最好先更新一下系统，不然可能会安装失败。）
sudo apt-get update
sudo apt-get upgrade
 
安装依赖 （太多了，自己相应替换）
sudo apt -y install libopencv-dev build-essential cmake git libgtk2.0-dev pkg-config python-dev python...]]></description><category></category></item></channel></rss>