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[] OpenVINO Ecosystem Adoption
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Classroom Contents
The 7 Lines of Code You Need to Run Faster Real-time Inference
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- 1 [] Introduction to Adrian Boguszewski
- 2 [] Introduction to OpenVino Toolkit
- 3 [] The 7 Lines of Code You Need to Run Faster Real-time Inference
- 4 [] Demo
- 5 [] The challenge
- 6 [] "But running on CPU is slow..."
- 7 [] The solution
- 8 [] OpenVINO
- 9 [] Installation methods
- 10 [] Model optimizer
- 11 [] Neural Network any format
- 12 [] Intermediate Representation IR
- 13 [] Post-training Optimization Tool POT
- 14 [] OpenVINO Runtime
- 15 [] Supported Devices
- 16 [] Auto device
- 17 [] Performance hints
- 18 [] Auto Batching
- 19 [] Input data with different shapes
- 20 [] Static shape
- 21 [] Dynamic shape
- 22 [] Open Model Zoo
- 23 [] Performance
- 24 [] Demo
- 25 [] Run live object detection
- 26 [] Quantize NLP Model with post
- 27 [] OpenVINO Notebooks
- 28 [] Intel Developer Cloud for the Edge
- 29 [] OpenVINO Ecosystem Adoption
- 30 [] Intel AI Software Portfolio
- 31 [] Main Takeaways
- 32 [] Win $50 in Swag!
- 33 [] Adrian's start with OpenVINO
- 34 [] Deploying OpenVINO outside the local system
- 35 [] Developing tricks with OpenVINO
- 36 [] OpenVINO Hosted Service
- 37 [] Wrap up
