levipereira / triton-server-yolo
This repository serves as an example of deploying the YOLO models on Triton Server for performance and testing purposes
☆53Updated 8 months ago
Alternatives and similar repositories for triton-server-yolo:
Users that are interested in triton-server-yolo are comparing it to the libraries listed below
- ☆53Updated 3 years ago
- ☆53Updated 2 years ago
- C++ application to perform computer vision tasks using Nvidia Triton Server for model inference☆23Updated this week
- This repository utilizes the Triton Inference Server Client, which streamlines the complexity of model deployment.☆15Updated 5 months ago
- Implementation of YOLOv9 QAT optimized for deployment on TensorRT platforms.☆99Updated 3 months ago
- Provides an ensemble model to deploy a YoloV8 ONNX model to Triton☆33Updated last year
- A project demonstrating how to use nvmetamux to run multiple models in parallel.☆98Updated 3 months ago
- Deepstream app use retinaface and arcface for face recognition.☆62Updated 4 months ago
- Use Deepstream python API to extract the model output tensor and customize the post-processing of YOLO-Pose☆61Updated last year
- YOLO v5 Object Detection on Triton Inference Server☆15Updated last year
- NVIDIA DeepStream SDK 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 implementation for YOLO-Segmentation models☆55Updated 11 months ago
- By the end of this post, you will learn how to: Train a SOTA YOLOv5 model on your own data. Sparsify the model using SparseML quantizati…☆56Updated last year
- Custom gst-nvinfer for alignment in Deepstream☆24Updated 2 months ago
- Deepstream face detection & recognition☆21Updated 2 years ago
- Implementation of End-to-End YOLO Models for DeepStream☆47Updated 3 months ago
- A project demonstrating how to make DeepStream docker images.☆68Updated 2 months ago
- deploy yolox algorithm use deepstream☆89Updated 3 years ago
- Face Recognition with RetinaFace and ArcFace.☆79Updated 2 years ago
- ☆15Updated 2 years ago
- Plug-and-Play Custom Parsers for AI Models in NVIDIA DeepStream SDK. Supported YOLOv11 model.☆12Updated last week
- Computer Vision deployment tools for dummies and experts. CVU aims at making CV pipelines easier to build and consistent around platform…☆88Updated last year
- Yolov5 TensorRT Implementations☆67Updated 2 years ago
- NVIDIA DeepStream SDK 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 application for YOLO-Face models☆61Updated last year
- YOLOv9 Tensorrt deployment acceleration,provide two implementation methods: C++and Python🔥🔥🔥☆32Updated 11 months ago
- Integration of YOLOv9 with ByteTracker☆79Updated 11 months ago
- Example of using ultralytics YOLOv5 with Openvino in C++ and Python.☆67Updated last year
- Compare multiple optimization methods on triton to imporve model service performance☆48Updated last year
- triton server ensemble model demo☆30Updated 2 years ago
- Quantization Aware Training☆61Updated last year
- ☆78Updated last year