Day #217 - OpenVino Session

Key Lessons

• Open Visual Inference Image and Neural Network Optimization Tool Kit
• Tools & Capabilities for Developers across domains
• OpenVino is supported only for Intel Devices
• Models for purpose
• Models to detect across the frame
• Hardware for Performance
• Compute Efficiency / Memory Hierarchy / APIs
• CPU and Integrated FPGA, GPU solutions

Pipeline flow

• Decode compressed Image
• Preprocessing - Scale down for DL model input, ROI computation, Frame Re-ordering
• Post-Processing - Write bounding boxes on top of it

Inference

• Training offline activity
• Model Optimizer would do conversion for CPU, GPU, FPGA
• Intel Library also added on it
• Out of Box Models in OpenVino
• Compile for Target
• mo.py model optimizer FP16. xml and bin file generated
• Movidus neural compute stick
• -d cpu, -d gpu, -d myriad
• Use of Hetro Plugin - GPU and CPU
• -d HETRO:GPU,CPU

More Reads - 
https://github.com/intel-iot-devkit/store-traffic-monitor
https://github.com/intel-iot-devkit/smart-video-workshop



Happy Mastering DL!!!