NVIDIA Deepstream SDK & Gstreamer excercise

Jetson Nano application that detects and tracks vehicles in a roundabout with Yolov4, DeepSort and NvDCF using DeepStream SDK and sends the info to a Kafka message bus.

This repository contains a entire process for developing an Automatic License Plate Recognition (ALPR) system using mainly Nvidia TAO Toolkit and Nvidia Deepstream SDK using the Python Bindings.

Implementation of Nvidia DeepStream 7 with YOLOv9 Models.

The Purpose of this repository is to create a DeepStream/Triton-Server sample application that utilizes yolov7, yolov7-qat, yolov9 models to perform inference on video files or RTSP streams.

This repository provides an out-of-the-box deployment solution for creating an end-to-end procedure to train, deploy, and use Yolov7 models on Nvidia GPUs using Triton Server and Deepstream.

This repository contains a guide for installing the TAO Toolkit and DeepStream, including examples, configuration files, and troubleshooting tips.

Deepstream/Gstreamer custom element to access the buffer in gpu memory and map it to GpuMat. Purpose of the element is to use it for preprocessing where it has been written using basic cuda programming.

This repository provides a custom implementation of parsing function to the Gst-nvinferserver plugin when use YOLOv7/YOLOv9 model served by Triton Server using the Efficient NMS plugin exported by ONNX.