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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 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
Video Session 2: The NET Open Camera Concept
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Part 1: Introduction to the Open Camera Concept
00:42 CORSIGHT: Smart Camera with software and hardware functions
01:39 iam: Smart Camera with open platform concept
Part 2: Hardware acceleration for iam
04:07 Hardware acceleration: optimizing effects
06:01 Hardware acceleration: kernel types Cross Compiling for iam
10:32 Cross compiling introduction
11:53 Xilinx Vitis IDE
Part 3: Xilinx Vitis IDE - Example Application
14:48 OpenCV application example w/o hardware acceleration on a camera
17:54 Optimization of the OpenCV application example
Video Session 3: Machine Learning with iam
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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
👥 contact NET
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