ubuntu系統從重裝到環境配置

2.安裝anaconda，安裝完後要加乙個souse巴拉巴拉的命令，將python3.幾設為預設

3.安裝cuda，cudnn

4.通過pip安裝tf

pip install tensorflow-gpu==1.6 -i

d:\software\anaconda3\lib\site-packages\h5py\__init__.py:36: futurewarning: conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. in future, it will be treated as `np.float64 == np.dtype(float).type`.

from ._conv import register_converters as _register_converters

解決：pip install h5py==2.8.0rc1

5.安裝torch

最後參考的pip安裝

下面和上面的一樣

conda install pytorch torchvision cuda90 -c pytorch

問題一：

connecttimeout(maxretryerror("httpsconnectionpool(host='nanomirrors.tuna.tsinghua.edu.cn', port=443): max retries exceded with url: /anaconda/cloud/linux-64/repodata.json (caused by connecttimeouterror(, 'connection to nanomirrors.tuna.tsinghua.edu.cn timed out. (connct timeout=9.15)'))",),)解決：

#首先先新增清華的映象源 conda config --add channels conda config --add channels conda config --add channels

conda config --set show_channel_urls yes

5.安裝qt

6.安裝pcl，並在qt中配置環境

sudo add-apt-repository ppa:v-launchpad-jochen-sprickerhof-de/pcl

sudo apt-get update

sudo apt-get install libpcl-dev

includepath += /usr/include/eigen3 #vtk includepath += /usr/include/vtk-6.2 libs += /usr/lib/x86_64-linux-gnu/libvtk*.so #boost includepath += /usr/include/boost libs += /usr/lib/x86_64-linux-gnu/libboost_*.so #pcl header includepath += /usr/include/pcl-1.7 #pcl lib

libs += /usr/lib/x86_64-linux-gnu/libpcl_*.so

7.安裝qq

最後參考的這個，前面兩個有些問題

8.安裝

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