How To Actually Segment Images with SAM2

Описание: 🎯 Segment Anything 2 (SAM2) + Python = next-level image segmentation!
In this tutorial, I’ll show you how to interactively segment images using the powerful SAM2 model from Meta, with support for point clicks, bounding boxes, and automated mask generation.

You’ll learn how to:
✅ Load and visualize images with OpenCV
✅ Select points interactively with your mouse
✅ Guide SAM2 using points, boxes, or both
✅ Generate high-quality masks with just a few prompts
✅ Visualize your results using Supervision’s beautiful annotations

Whether you're working on AI labeling tools, computer vision projects, or just want to experiment with interactive segmentation — this tutorial gives you everything you need to get started fast with Segment Anything 2 in Python.


Code for the tutorial : https://ko-fi.com/s/c9b587908e

You can find more computer vision tutorials in my blog page : https://eranfeit.net/blog/

You can find more Visual Language models tutorials tutorials in this playlist :    • Visual Language Models tutorials 2025  

You can find more image Segmentation tutorials in this playlist :    • Image segmentation tutorials 2025  

~~~~~~~~~~~~~~~ recommended courses and books ~~~~~~~~~~~~~~~
A perfect course for learning modern Computer Vision with deep dive in TensorFlow , Keras and Pytorch . You can find it here : http://bit.ly/3HeDy1V

I also recommend this book, https://amzn.to/3GBMNLC : "Practical Machine Learning for Computer Vision" by Oreilly
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~~~~~~~~~~~~~~ Chapters ~~~~~~~~~~~~~
00:00 Introduction and Demo
02:30 Installation
06:44 Generate automatic masks
14:30 Generate masks using points (x,y)
34:03 Generate masks using bounding box
~~~~~~~~~~~~~~ Credits ~~~~~~~~~~~~~
Music by Vincent Rubinetti
Download the music on Bandcamp: https://vincerubinetti.bandcamp.com/a...
Stream the music on Spotify: https://open.spotify.com/album/1dVyjw...