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- Preparing the Trained Model for Backend Integration
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Classroom Contents
Building a Flask Backend for Real-Time Weed Detection with YOLOv8 - Full-Stack Development Tutorial
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- 1 - Preparing the Trained Model for Backend Integration
- 2 - Building the YOLO V8 Inference Code
- 3 - Adding Object Tracking with BotSort
- 4 - Setting Up Flask API for Real-Time Streaming
- 5 - Handling Video Uploads and Processing Threads
- 6 - Generating Frames and Streaming JSON Data
- 7 - Connecting Backend to Frontend
