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.
Guide to set up DeepStream pyds and run an RTSP pipeline in Python. Note: NVIDIA Smart Recording isn’t in official Python bindings and is supported only in C++. This repo includes a compatible wheel and tweaks so you can install it easily and enable Smart Recording from Python.
Sample face-recognition app using Deepstream 6.0.1 with FaceNet on Jetson Nano (L4T Jetpack 4.6.1)
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.
CoBaoHieu Master Computer Science's Thesis
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