NVIDIA-AI-IOT / mmj_utilsLinks
A utility library to help integrate Python applications with Metropolis Microservices for Jetson
☆15Updated 6 months ago
Alternatives and similar repositories for mmj_utils
Users that are interested in mmj_utils are comparing it to the libraries listed below
Sorting:
- A collection of reference AI microservices and workflows for Jetson Platform Services☆42Updated 5 months ago
- A project demonstrating how to make DeepStream docker images.☆78Updated 7 months ago
- A reference example for integrating NanoOwl with Metropolis Microservices for Jetson☆30Updated last year
- A project demonstrating how to use nvmetamux to run multiple models in parallel.☆103Updated 8 months ago
- Quick start scripts and tutorial notebooks to get started with TAO Toolkit☆94Updated 10 months ago
- ☆99Updated 10 months ago
- A DeepStream sample application demonstrating end-to-end retail video analytics for brick-and-mortar retail.☆49Updated 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☆69Updated last year
- Implementation of End-to-End YOLO Models for DeepStream☆54Updated 8 months ago
- This repository provides optical character detection and recognition solution optimized on Nvidia devices.☆76Updated 2 months ago
- Optimized local inference for LLMs with HuggingFace-like APIs for quantization, vision/language models, multimodal agents, speech, vector…☆292Updated 8 months ago
- Sample app code for deploying TAO Toolkit trained models to Triton☆88Updated 10 months ago
- ☆175Updated 2 years ago
- ☆32Updated last year
- A project that optimizes OWL-ViT for real-time inference with NVIDIA TensorRT.☆345Updated 5 months ago
- A simple Python example that uses Deepstream to process a video stream.☆35Updated 4 years ago
- A tutorial introducing knowledge distillation as an optimization technique for deployment on NVIDIA Jetson☆201Updated last year
- A shared library of on-demand DeepStream Pipeline Services for Python and C/C++☆319Updated 3 months ago
- Easy to use neural networks for NVIDIA Jetson (and desktop too!)☆73Updated 2 years ago
- Sample apps to demonstrate how to deploy models trained with TAO on DeepStream☆420Updated 4 months ago
- A reference application for a local AI assistant with LLM and RAG☆112Updated 7 months ago
- NVIDIA DeepStream SDK 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 implementation for YOLO-Segmentation models☆63Updated last year
- High-performance, optimized pre-trained template AI application pipelines for systems using Hailo devices☆144Updated 3 months ago
- How to deploy open source models using DeepStream and Triton Inference Server☆81Updated last year
- Fetch RTSP Stream using GStreamer in Python and get image in Numpy☆132Updated 5 years ago
- This repository is helpful for installing DeepStream SDK and it's python bindings in dGPU machine.☆33Updated last year
- NVIDIA Deepstream 6.1 Python boilerplate☆139Updated last year
- yolov5, yolov8, segmenations, face, pose, keypoints on deepstream☆100Updated last year
- This repository provides YOLOV5 GPU optimization sample☆106Updated 2 years ago
- NVIDIA DeepStream SDK 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 application for YOLO-Pose models☆138Updated last year