obliqua/AI-Classiffication-Project
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions
No description
8 commits 1 branch 0 tags 918 KiB
  • HTML 65%
  • Python 34.3%
  • Shell 0.7%
Find a file
Exact
AIRobotic2170 fb09809768
 Update README.md
2023-08-21 19:59:54 -04:00
Code Add files via upload 2023-08-21 19:56:49 -04:00
README.md Update README.md 2023-08-21 19:59:54 -04:00
showcase_recognition.mp4 Add files via upload 2023-08-21 19:50:56 -04:00

README.md

AI Classification Website

Description » Put in a URL, this Application finds out what it is using Resnet-18 or GoogleNet

{\color{orange}The Algorithm}

This Application allows you to use any website url (of a picture) to classify what the image is of. This uses the GoogleNet or Resnet-18 framework as a base, using flask as our website hosting language. Using a python file to download the image then running a script on the nano to classify a locally downloaded file and classify.

Running this project

  1. Start up your Nano
  2. Run command "pip3 install -r requirements.txt" (install all necassary packages)
  3. Navigate into Main directory "cd Main"
  4. Run code "python3 flaskWebpage.py" (runs flask webserver)

First Image (GoogleNet Demonstration): https://www.wwf.org.uk/sites/default/files/styles/social_share_image/public/2022-05/_WW236934.jpg

Second Image (ResNet18 Demonstration): https://a-z-animals.com/media/2023/07/shutterstock-1793473135-huge-licensed-scaled.jpg