custom payload for send nvdsanalytics message to kafka
-
Updated
Nov 16, 2022 - C++
custom payload for send nvdsanalytics message to kafka
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.
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.
Deepstream SDK Python bindings adapted for running YOLO inference on NVIDIA Jetson Nano devices
To associate your repository with the deepstream-python-apps topic, visit your repo's landing page and select "manage topics."