https://github.com/joshuaburt1/imageidentifier-flask

Uses YOLOv8 to identify images
https://github.com/joshuaburt1/imageidentifier-flask

flask yolov8

Last synced: about 8 hours ago
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Uses YOLOv8 to identify images

• Host: GitHub
• URL: https://github.com/joshuaburt1/imageidentifier-flask
• Owner: JoshuaBurt1
• Created: 2024-06-07T15:41:22.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-06-26T03:03:40.000Z (7 months ago)
• Last Synced: 2024-06-26T07:59:11.062Z (7 months ago)
• Topics: flask, yolov8
• Language: Python
• Homepage:
• Size: 1.41 GB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# ImageIdentifier

Obtaining identification in terminal 


Run in code editor terminal (i.e. Visual Studio code) using predict_console.py (change the results = model path to your image path) 





Obtaining identification in another application 


Make a POST request in another application to http://localhost:5000/identify or http://127.0.0.1:5000/identify to fetch an identification; predict_postRequest.py must be running. To test, run postTest.py in terminal. 


~Works with SpeciesTracker-NodeJS





Training custom dataset 


1. Create dataset folder structure (i.e. mushroom_dataset/val & mushroom_dataset/train). 


2. Optional - run _webcrawler_mushroomVal.py & _webcrawler_mushroomTrain.py to find images to put in train and val folders 

3. Run train.py 
 


References: 


https://www.youtube.com/watch?v=ZeLg5rxLGLg&t=2235s 


https://github.com/computervisioneng/image-classification-yolov8