Skip to content

about.adoc

Latest commit

 

History

History
65 lines (51 loc) · 1.93 KB

about.adoc

File metadata and controls

65 lines (51 loc) · 1.93 KB

About

Note
 This guide is for KDE linux (ideally on a ROG Maximus motherboard), however other OSes are supported

Download

  1. go to GitHub

  2. find the Repo

  3. download with Code › ZIP

  4. unzip with Folder › Unzip in Dolphin at KDE › Dolphin

Try Now!

Installation after Download

  1. Install the requirements

  2. Install CoffeeScript

  3. Install NodeJS 4.1 or preferably newer WARNING: Attempting to install the CUDA edition of PyTorch or having it already installed has a small chance of damaging the processor. This damage will especially occur if you edit the device variable in the code. Dont install it and if already installed, uninstall it.

Caution
 Make sure not to install NodeJS 4.0 or older it may result in missing built-in dependencies

Setup

  1. Insert classify.png

  2. Insert training data in directory

Execution

Run executer.sh with File › Open › Open in Terminal or, in the terminal, run the following

python optimizedcputrainer.py
python classifyandpredict.py
Tip
 Always run executer.sh from the project directory but the script gives to 10 seconds to cancel if not running from the directory so you can always cancel with Ctrl+C until athe countdown finishes

Aftermath

Caution
 it is advised check the following before treating and/or claiming the output as "real information"

  • Confidence Score

  • Confusion Matrix

Note
 if the confidence is high, you are ready to treat it as real information with precaution as long as you tell anyone you share it with that it was a generated
Important
 If you ignored the aforementioned warning there may be minor damage to the processor if there is press UEFI BIOS at boot and go to Exit › Reset then press confirm

License

see license.txt