olibartfast/tritonic
C++ application to perform computer vision tasks using Nvidia Triton Server for model inference
This C++ application helps operations engineers or MLOps teams integrate trained computer vision models into real-time applications. It takes raw image or video data, sends it to a centralized Nvidia Triton server for inference (e.g., object detection or classification), and outputs the processed results for tasks like security monitoring or quality control. It's designed for users who need to deploy and run various computer vision models efficiently.
Use this if you need to deploy and run multiple computer vision models for tasks like object detection or image classification, managed by an Nvidia Triton Server, within a C++ application.
Not ideal if you're not using Nvidia Triton Server for model inference or if your primary development environment is not C++.
Stars
29
Forks
3
Language
C++
License
MIT
Category
Last pushed
Mar 18, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/olibartfast/tritonic"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with...
roflcoopter/viseron
Self-hosted, local only NVR and AI Computer Vision software. With features such as object...
blakeblackshear/frigate
NVR with realtime local object detection for IP cameras
levan92/deep_sort_realtime
A really more real-time adaptation of deep sort
notAI-tech/NudeNet
Lightweight nudity detection