Optimization of YOLOv4 and YOLOv4-tiny Models with Customized Configurations using Intel® Distribution of OpenVINO™ Toolkit

Description

This document presents two methods for optimizing the YOLOv4 and YOLOv4-tiny models with customized classes and anchors using Intel® Distribution of OpenVINO™ Toolkit. The object detection use case based on the optimized models is used to verify the corresponding inference results. Furthermore, the decreased inference time of the optimized model is demonstrated with the real-time use case of an ISV.