Johnathon test

README.md

@@ -332,8 +332,196 @@ For example, **set CUDA_VISIBLE_DEVICES=X,Y,Z,... & python cloudclassify-gpu.py*
 
 ---
 
+# **For Ubuntu on Windows**
+
+## **Preparing an Ubuntu Virtual Environment In a Windows Host OS**
+**Step 1: Install Virtualbox**
+Virtual box is a tool which allows you to run different operating systems virtually on your host operating system. This is referred to as a virtual machine.
+
+In order to install Virtualbox, follow this [link](https://www.virtualbox.org/wiki/Downloads)
+
+Under "VirtualBox 6.1.28 platform packages" select the windows host download link.
+
+Open VirtualBox
+
+**Step 2: Download Ubuntu ISO file**
+	For the purposes of this document I will be utilizing ubuntu 20.04, although  18.04 is recommended. 
+
+Follow this [link](https://ubuntu.com/#download)
+
+Under the Download button select 20.04 LTS
+
+**Step 3: Set Up Ubuntu virtual machine in virtualbox**
+Open virtualbox
+
+Click the "New" button
+
+Provide the name of your new machine (I recommend the name Ubuntu 20.04)
+
+Set Machine folder location(your choice)
+
+Ensure the Type and version fields are correct (Type: Linux ; Version: Ubuntu(64-bit))
+
+Select Next
+
+Select memory size (Anywhere inside the green area of the scale)
+
+Select Next
+
+Select "Create a virtual hard disk now"
+Select Create
+
+Select VDI(Virtual Disk Image)
+
+Select Next
+
+Select Dynamically Allocated (Allows the OS to expand disk size if required)
+
+Select Next
+
+Choose File Location
+
+Choose virtual Hard disk size(I recommend around 100Gb)
+
+Click Create
+
+**Step 4: Configure Settings for Ubuntu Virtual Machine**
+
+Select your machine
+
+Select Settings
+
+Under General, click advanced settings. Select Bidirectional for both shared clipboard and drag and drop fields. This will allow you to share files between host machine and ubuntu machine.
+
+Under System, click processor. Choose the number of CPUs you wish to use. (if no preference leave as default)
+
+Under storage Click empty. Under attributes, by optical drive click Disk dropdown and select choose a disk file. Provide location for ISO file downloaded in step 2.
+
+Select OK.
+
+**Step 5: Open your virtual machine**
+Select your machine and press start.
+
+Select preferred language and click install ubuntu
+
+Select Keyboard Layout and Language, Click Continue
+
+Under "What apps would you like to start with?" Select normal installation
+
+Under "Other Options" select download updates while installing ubuntu and Install third party software for graphics and Wi-Fi hardware and additional media formats
+
+Click continue
+
+Under Installation Type, Select Erase Disk and install ubuntu
+
+Click Install Now
+
+Click continue
+
+Select your Location
+
+Enter your preferred Name, Username and Password
+
+Click Continue.
+
+Wait for installation to complete.
+
+Click Restart Now.
+
+Log in to the user you created
+
+Follow Setup Instructions provided by the OS.  
+
+**Step 6: (Optional) Install Virtual Box Guest Additions**
+This software will allow your virtualbox virtual machine to properly maximize on your screen
+
+Open Terminal
+
+Give command:
+```
+sudo apt install build-essential dkms linux-headers-$(uname -r)
+```
+Provide your password
+
+Enter y, press enter
+
+Close terminal
+
+Select devices on virtualbox window
+
+Select Insert Guest additions CD Image
+
+Select Run
+
+Provide your password, click authenticate
+
+Restart ubuntu operating system
+
+
+
 # **For Ubuntu**
 
+
+*  **Step 1**: Create Conda Environment
+
+Enter This command to create the conda environment:
+
+```
+conda create -n cloud-env python=3.8
+```
+
+*  **Step 2**: Activate the Conda Environment
+
+To activate the conda environment you created, enter this command:
+
+```
+conda activate cloud-env
+```
+
+Followed by this command to install pip to the conda environment:
+
+```
+conda install pip
+```
+
+*  **Step 3**: Download the Training Data and Required python packages
+
+Download the training data at this [link](https://drive.google.com/file/d/13W_etsy1A4czDTDHrPVliOImAfTlRSze/view) and place it in a folder named cloudpackage on your desktop 
+
+[Download the zip](https://github.com/stccenter/CloudClassification/archive/refs/heads/main.zip) containing your script and place the contents of the zip in the cloudpackage folder
+
+[Download the zip](https://drive.google.com/file/d/0B7XkCwpI5KDYNlNUTTlSS21pQmM/edit?resourcekey=0-wjGZdNAUop6WykTtMip30g)containing the bin file and unzip the contents into the cloudpackage folder
+
+To change to the desktop directory, Enter the Command: 
+
+
+```
+cd Desktop
+```
+
+To change to the directory to your folder, Enter the Command: 
+
+```
+cd cloudpackage
+```
+
+Install the required packages using the command:
+
+```
+pip install -r requirements_cpu.txt
+```
+
+*  **Step 4**: Run the Script
+
+To run the Script enter the command: 
+
+```
+python cloudclassify-cpu.py 
+```
+
+
+Estimated Time: 2hr 48min
+
 ## **GPU-based implementation**
 
 **Step 1** The AWS Deep Learning AMI comes with different versions of CUDA. Please switch to the correct CUDA version, **10.2**, by using the following commands: