This article will guide you to install and use Yolo-v4 on NVIDIA DeepStream 5.0. If you are new to NVIDIA DeepStream 5.0 .

I assume you already aware of YOLOv4. It’s claims to have state-of-the-art accuracy while maintains a high processing frame rate. It achieves an accuracy of 43.5% AP (65.7% AP₅₀) for the MS COCO with an approximately 65 FPS inference speed on Tesla V100. You can find more information on YOLOv4 on this link.

Now introduction is over, Lets jump directly into installation.

Prerequisites

• Hardware Platform (Jetson or GPU)
• DeepStream Version 5.0
• TensorRT Version 7.0.0.11
• NVIDIA GPU Driver Version (valid for GPU only) 440.33.01
• OS Ubuntu 18.04
• CUDA 10.2
• Pytorch 1.4.0

At present DeepStream 5.0 not support YOLOv4. But they gave the steps to use YOLOv4. Thanks to NVIDIA officials and Community.

#yolov4 #artificial-intelligence #object-detection