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Fast installation of Opencv3 with Anaconda in Ubuntu My system environment: Ubuntu16.04, Anaconda3 (Python 3.6) Digression: In the pursuit of artificial intelligence on the road of continuous progress, the installation of many libraries let me very "egg pain", and especially the installation of Caffe and OpenCV in various pits have ... Enter the command in terminal: Conda install-c Https://conda.anaconda.org/menpo Opencv3 Then, according to the pro

Reproduced in: http://blog.csdn.net/chenweiqian_zy/article/details/59109596 Installation of the 1.anaconda installation reference https://www.continuum.io/downloads/. For example, my installation command is: Bash anaconda2-4.3.0-linux-x86_64.sh 2. Install Jupyter Update: Conda Update Anaconda Installation: Conda Install Jupyter 3. Install TensorFlow Create TensorFlow Environment:

Experience in installing Scrapy from scratch, and experience in installing Scrapy from scratch Scrapy is a python-based Web Crawler framework that crawls information from the network. It is a good way to obtain data. So I want to install it. Go to its official website and go to the Installation Introduction page. Https://docs.scrapy.org/en/latest/intro/install.html There are three installation methods: one is from pip, the other is from source code, and the other is from

.============================================================================Below are all the craters of the lunar surface!!!1, There can be no space in the path Ah ....Conda list, Conda install displays the reason for "Failed to create process" after the installation is complete.2, some blog said Anaconda after installation will appear "MinGW" folder, but the latest version anaconda2 after installation is

Python version python 2 or Python 3 Python 2.x is an earlier version, Python 3.x is the current version Python 2.7 (final version of 2.x) rarely has a big update since its release in 2010 Python 2.x has more tool libraries than python3.x Most Linux systems installed by default are still Python 2.x Version selection depends on the problem to be resolved Recommended case for Python 2.x: The deployment environment is not controllable and Python version cannot

1. Download Anaconda (preferred website, but very slow) anaconda2-4.0.0-linux-x86_64.sh The Anaconda installation package can also be downloaded to https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/. 2. Configure some sources, otherwise too slow.= = = Already successful, run the conda install numpy test.However, it is also convenient to build a virtual environment.Create a virtual Environment

contains the installed content. You can enter Conda info to query installation information Enter the conda list to query which libraries you have installed, including python, numpy, and scipy. You can run Conda install *** to install (** indicates the package name). If a package version is not the latest, run conda

Since Anaconda comes with Python by default (probably not the latest version), you can install Python directly by installing Anaconda.This article focuses on the solution to add a previously installed Python to Anaconda after installing Python and then installing AnacondaAssuming that you have installed Pythonxx (xx is the version number), below you have downloaded the Anaconda1, the installation of the time two check box should not be checked (one is added to the environment variable, the other

, first open the Explorer, right-click "This Computer", click "Properties" in the pop-up menu, click "Advanced System Settings" in the pop-up window, such asClick "Environment Variables" in the pop-up window to pop up the following windowIn the upper window, double-click "Path", pop the following window, if there is no red rectangle within a few paths, click on the right side of "new" to add a new path, let the path variable contains a few paths within the red box.Next, go to the command prompt

System Environment: CentOS6.7 Anaconda Version: anaconda3-5.1.0-linux-x86_64 Python version: Python-3.6.4 1. Yum installation CMake, boost Yum Install CMake boost 2. Yum Install gcc gcc-c++ Yum Install gcc gcc-c++ Use Yum to install the existing version of the system, and then upgrade to 4.8.1 after uninstalling the Yum version 3. Install Dlib package with Conda # Conda Install Dlib [ROOT@HADOOP7 pkgs]#

Problem Recently Anaconda launched the Python3.6, installed its own version, but after installation found that installation Opencv3 not as simple as the Python3.5 version of the installation Opencv3, previously installed opencv3 only need Conda Install–channel Https://conda.anaconda.org/menpo opencv3 This command, now installed on the Python3.6, use this command will report the following error:Unsatisfiableerror:the following specifications were foun

First to install the Anaconda.Note that to add an environment variable to the system, there is an option for this. Or you'll need to manually CD to Anaconda3\bin to execute the instructions below. Due to the installation of TensorFlow, use Pip Install TensorFlow The instructions always go wrong, even with the official website. Pip Install--upgrade HTTPS://STORAGE.GOOGLEAPIS.COM/TENSORFLOW/WINDOWS/CPU/TENSORFLOW-0.12.0RC1-CP35-CP35M-WIN_AMD64.WHL and similar instructions on Linux are also a

mac install Python and Jupyter notebook python installation (anaconda) Mac comes with Python2 version of Python, it's usually 3, Anaconda is a python version, anaconda2 corresponds to Python2 version, anaconda3.6 for python3 version, just download HTTPS on the website ://www.continuum.io/downloads/the appropriate version.After downloading can be installed by default, direct installation complete.After the installation is complete, do the following and activate it. After that, install the Pytho

Tensorboard Installation Errors 1 attempt stage Dell 32-bit PC, original installation anaconda, Conda create-n TensorFlow python=3.6 Activate TensorFlow Pip install--ignore-installed--upgrade tensorflow results show that matching TensorFlow version is not found 2 Find data Find TensorFlow No 32-bit version Lenovo 64-bit Conda create-n TensorFlow python=3.6 Activate TensorFlow Pip Install--ignore-installed-

software packages or libraries, so installation and use are relatively troublesome. Fortunately, someone is doing this kind of thing, compiling all the modules required by scientific computing, and then packaging them for users in the form of release, anaconda is one of the commonly used scientific computing releases. From the website (link 1) The default version of Anaconda downloaded has many built-in libraries (link 2), Including numpy. Although Anaconda already comes with a large number of

TensorFlow installed under Windows for study purposes, if you want to do the technology, see the relevant blog: CentOS7 installation TensorFlow1 , installation Pytho3.5First go to the Anaconda website to download the Windows version of the software, here Select the v3.6 version.Https://www.continuum.io2 , after the installation is complete, open Anaconda PromptThen we enter a command to see the installable version of TensorFlow.> Anacoda search–t Conda