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Table of Contents


Video Session 1: Getting started with iam and Smart App Examples

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0:00 Introduction: - GigE Vision - SDK - SynView

3:32 Live demo 1: Overview

  • 6:25 Initial connection with camera as GigE Vision device via GigE Vision Server

  • 9:20 Connection with camera via SSH/X11/remote desktop

  • 1:10 Running SynView on the PC and on the camera

  • 13:25 Summary and lessons learned

14:15 Live demo 2: Overview

  • 15:02 Running a demo application with OpenCV on a PC

  • 22:53 Compiling and running a demo application in OpenCV on the camera


Video Session 2: The NET Open Camera Concept


Video Session 3: Machine Learning with iam

Infocoming soon…
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Contents

00:00 Introduction to Machine Learning image processing applications

03:05 Basic Machine Learning applications: Classification, segmentation, object detection

05:40 Implementation of Machine Learning to iam

08:24 Network Development Flow

10:16 Required software environment

11:59 Application example: classification of fruits and vegetables

13:38 Network Training

22:41 Network Optimization and Transformation

32:30 Running Application on iam


🔍 References

🔗 related content

Quick Start

Software

👥 contact NET

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MasterContent: Contact NET
MasterContent: Contact NET
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