Hi and welcome to the Windows Installation Guide.
This guide will help you install open S.V. for Tensor Flow 2.0 and Anakonda with the latest vision of
Python.
At least Python three point six, probably three point seventy point it, depending on when or what
vision of Anaconda you install.
So now let's quickly go through what is going to what we're going to install in the sky.
So we're gonna go shoot a video installation of all of these things.
And I'm just going to talk about the Deliman solution afterward.
Selflessly.
Where to download.
So now here's the link for your Anaconda download distribution.
Just click here and you can go to add insulation geita, which you'll see shortly in this video.
And also, this is where tons of light comes from.
Now, you don't actually need to go to this Web site here.
You just need to go to this one and open S.V. for similarly, you can install that from your command
line, which you will see in the sky shortly at the next video.
So what I wanted to tell you, though, is that a lot of students asks me where to download the code.
Now, the code for this course is right here.
It's indice to 2020.
Updated Tenzer Flow 2.0.
Now at this code, here's a tense, a flute 2.0, a compatible code.
If you want the original tense floor, one point one four and carries vision of that, could you can
just go to this lecture here, lecture it and go through resources.
Similarly, as you see here, and download a code here.
Now, I should just talk a bit about the Tensor Flow 2.0.
Literally, everything in this course is compatible with Tensor Flow 2.0 and no.
And it's probably much easier to install it on your window as your host us.
Right now, even if you're using MarkWest, this Skype will probably be a bit similar.
A little Mac OS will probably have a different guide for you live and C make and that stuff.
But that's beside the point.
This will let you know you don't.
You no longer need the virtual machine anymore for this course.
It's better if you actually just use the windows.
It's going to be easier for use to go and take up less space.
And there's no Linux Rabun to learning curve.
So now let's move on to your installation.
So fiercely.
Go to Google and let's start downloading Anaconda with Python.
So Anaconda is type an anaconda python here and your Google search engine.
And that should bring up the Anaconda page here.
Just click this link here.
And now what I want you to do is scroll down a bit to the individual edition and press download.
Now, that brings up the page here where you have to select division appropriate for your system and
choose Mac Linux.
And you can actually look at the 32 bit, 64 bit visions as well.
Now, I'm going to want you to use the pie to entry point seven vision and download division of Suitable
for your system when it's 64 bit 2D Tibbett.
So when that's finished downloading, click on the installer and I'll go to the install here.
Just use the default settings when they install box pops up for their actuaries.
Leave this alone.
You don't have to click the first one and it just takes a while.
Takes a few minutes to install and fast forwarding it true here.
Then press next.
Next again.
And you can bring this up if you want to learn more.
But Anaconda on your own.
It's fully up to you.
So now we're finished installing Anaconda.
So when that's finished and once you go to your start menu and you'll find your Anaconda tree install
here, click on Anaconda prompt, not Anaconda partial, anaconda prompt.
And that brings up this command prompt dialog box here.
So the first thing I want you to do is high powered condo create dash n, c, v, dash dash cloon base.
What you're doing here, you're creating a new press.
Yes.
By the way, you're creating a new environment for your all your deplaning packages and libraries.
We could be using it in discourse.
Now, just to we're going to install after this is complete.
That is open.
C.V and Tenzer flow.
So just press.
Yes.
When this comes up, this dialogue box will pop up about four or five times during the install.
Just press.
Yes.
For each one.
And what you've done, you've clone your Beiste environment in Anaconda's.
Now you have a brand new clean environment to mess with to install your own libraries.
So when it's done, I want you to type KONDA, activate C.V.
And that way you'll see they'll be c.v in this bracket.
Will change from Beiste to C.V after you type this out.
And there we go.
So your environment has been successfully created c.v environment.
So now what I did it is clear the screen and I want you to update Pip.
So we're going to do type pip, install dash dash upgrade pip.
And there we go.
So just make sure your pip is up to date litas vision before continuing.
Now I'm gonna install open c.v.
So we got pip install open c.v, dash python.
This will install open c.v.
This should take about a minute, maybe a little longer, depending on your Internet speed and system
processing power.
And here we go.
So we're finished now.
We're ready to install tensor flow.
So to ensure you're using the latest vision of Tenzer flow, what I want you to do is type PIP, install,
dash, dash, upgrade, tensor flow and that will take you to the install here and should take it should
be quick.
Anyway.
And once that's done, you should have open c.v, intensive flow.
However, we can run a test here and make sure everything works.
You can just python.
And this brings up the actual python interpreter inside of a command prompt.
And then you can import C.V to press center that execute successfully, then do import Tenzer flow STF.
You may get a warning here.
However, that's fine.
However, if you do get a missing DL error here, you're going to need to download the C++ Visual Studio
redistributor all files and I'll show you how to do that now.
So now let me show you how to find the link to the reddish, reddish little file we need.
So go to tensor flow dot org slash insole, slash pip.
And that brings up this site here.
Now, this takes you to the actual link of the C++ redistributor beautifuls that you want.
This is a right here for Windows seven, only to click this link here and now that brings up the Eddys
distributed files you want.
Now, if you have a Xindi for a 64 bit system, click that and it installs, downloads and installs
while you install it afterward.
Likewise, if you have exited six Secretary Tibbett process, you can run, download and run that one
as well.
So now we just go to the C++.
Rudisha beautiful installations, fairly simple as click next from the installer.
And there we go.
It's successful.
So just you just restart your computer after it's installed.
So there we go.
It's completed and it's successfully installed.
So you can restart your computer if you need to.
I don't need to because I already have it installed.
And now let's move on to the next part of the install.
All right, so the next part of your insole guide is to install dealable, so what to do is just go
to see me dot org and go to the download section here to subdirectory here and download a C make that's
suitable for your windows.
I'm assuming you have Windows 64 or 64 bit system, so you're going to have to download this one if
using that old two to bid visions of windows and all the computer can download this.
Similarly, if you have Mac or Linux, download these visions here.
So now after you do that, what you're going to have to do is go to this site.
Here's Visual Studio at Microsoft Bill Tools here now to build tools that will help you actually get
CIMIC working.
So this is actually feel actually a fairly big file.
Couple of gigs may take you.
But I will sort of download, download it and select the mission, select like this option.
Now you can select the other options here, believe they're ticked off by default.
If you don't have the hard drive space, you can just remove some of them.
But make sure.
This one here in red is ticked off after you install that.
So let's just remind you.
After you install the build tools here, you'll be orks to restart.
By the way, you restart and then you can just go.
You actually can do this before restarting.
After restarting.
It does not matter.
Just make sure these make pots in your windows.
Environment variables here so you can just go to your taskbar and type in environment and then it'll
bring up the environment, variables, settings.
And what you do is click on Path here.
Click on edit and then add it to additon.
You just have to go to new and just copy and paste the directory for C make here.
You can type it in.
I mean copy and paste is much easier.
Why type when you can copy and paste.
And then next all you have to do now is go back to your command line.
Your Anaconda command line.
Yes.
So just go to your.
Especially not this one's actually the anaconda prompt.
And then when you bring it up in your environment.
By the way, these are different environments I have set here.
You may need to create an environment using Anaconda Navigator.
I know that's not really editorial, but you should you can just Google how to do that when you want
to afterward.
But either way, it'll put you'll probably have an anaconda prompt base like this one.
Just type this one.
There's click this one or this one.
I don't want you want to install it.
It's an environment and you install just go pip install.
So you make Pip install Sealab.
And after a couple minutes of each one, you should be good to go.
Actually I don't think it takes a couple minutes, but either way it's going to be quite, quite short
and then you're done.
Okay.
So that's it for this window's guide setup.
And now you have Tenzer Flute 2.0 open see V4 and dealable.
So you're good to go for the rest of the course, but all the code is now compatible with Tensor Flow
2.0.
However, some of the object detection methods are a bit tricky to get working in windows.
I've attached some guides in the previous lesson.
Can see them give it a go.
I got them working as well, but they were tricky for me and I know they're there for every Windows
user.
They can be tricky.
So if you want to use the object detection methods in discourse, you can actually do that.
We can actually try it on Google CoLab.
Sometimes it works, actually haven't tested out, so I probably shouldn't even set up yet.
However, the ideal way to do it is with the visual machine that I've set up.
However, if you have issues with the virtual machine, just message means the Inforum and I'll try
to guide you.
True.
Thank you.