Segment Anything - Model explanation with code

Umar Jamil · Beginner ·👁️ Computer Vision ·2y ago

About this lesson

Full explanation of the Segment Anything Model from Meta, along with its code. As always the slides are freely available: https://github.com/hkproj/segment-anything-slides Chapters 00:00 - Introduction 01:20 - Image Segmentation 03:28 - Segment Anything 06:58 - Task 08:20 - Model (Overview) 09:51 - Image Encoder 10:07 - Vision Transformer 12:30 - Masked Autoencoder Vision Transformer 15:32 - Prompt Encoder 21:15 - Positional Encodings 24:52 - Mask Decoder 35:43 - Intersection Over Union 37:08 - Loss Functions 39:10 - Data Engine and Dataset 41:35 - Non Maximal Suppression

Original Description

Full explanation of the Segment Anything Model from Meta, along with its code. As always the slides are freely available: https://github.com/hkproj/segment-anything-slides Chapters 00:00 - Introduction 01:20 - Image Segmentation 03:28 - Segment Anything 06:58 - Task 08:20 - Model (Overview) 09:51 - Image Encoder 10:07 - Vision Transformer 12:30 - Masked Autoencoder Vision Transformer 15:32 - Prompt Encoder 21:15 - Positional Encodings 24:52 - Mask Decoder 35:43 - Intersection Over Union 37:08 - Loss Functions 39:10 - Data Engine and Dataset 41:35 - Non Maximal Suppression
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Chapters (15)

Introduction
1:20 Image Segmentation
3:28 Segment Anything
6:58 Task
8:20 Model (Overview)
9:51 Image Encoder
10:07 Vision Transformer
12:30 Masked Autoencoder Vision Transformer
15:32 Prompt Encoder
21:15 Positional Encodings
24:52 Mask Decoder
35:43 Intersection Over Union
37:08 Loss Functions
39:10 Data Engine and Dataset
41:35 Non Maximal Suppression
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