NVIDIA AI IOT's repositories
deepstream_python_apps
DeepStream SDK Python bindings and sample applications
Lidar_AI_Solution
A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution, YUV2RGB, cuOSD,).
deepstream_reference_apps
Samples for TensorRT/Deepstream for Tesla & Jetson
yolo_deepstream
yolo model qat and deploy with deepstream&tensorrt
deepstream_tao_apps
Sample apps to demonstrate how to deploy models trained with TAO on DeepStream
deepstream_360_d_smart_parking_application
Describes the full end to end smart parking application that is available with DeepStream 5.0
deepstream_lpr_app
Sample app code for LPR deployment on DeepStream
ros2_nanollm
ROS2 nodes for LLM, VLM, VLA
jetson-copilot
A reference application for a local AI assistant with LLM and RAG
deepstream_parallel_inference_app
A project demonstrating how to use nvmetamux to run multiple models in parallel.
ros2_deepstream
ROS 2 package for NVIDIA DeepStream applications on Jetson Platforms
tao-toolkit-triton-apps
Sample app code for deploying TAO Toolkit trained models to Triton
whisper_trt
A project that optimizes Whisper for low latency inference using NVIDIA TensorRT
deepstream_dockers
A project demonstrating how to make DeepStream docker images.
NVIDIA-Optical-Character-Detection-and-Recognition-Solution
This repository provides optical character detection and recognition solution optimized on Nvidia devices.
synthetic_data_generation_training_workflow
Workflow for generating synthetic data and training CV models.
deepstream_libraries
DeepStream Libraries offer CVCUDA, NvImageCodec, and PyNvVideoCodec modules as Python APIs for seamless integration into custom frameworks.
jetson-platform-services
A collection of reference AI microservices and workflows for Jetson Platform Services
gesture_recognition_tlt_deepstream
A project demonstrating how to train your own gesture recognition deep learning pipeline. We start with a pre-trained detection model, repurpose it for hand detection using Transfer Learning Toolkit 3.0, and use it together with the purpose-built gesture recognition model. Once trained, we deploy this model on NVIDIA® Jetson™ using Deepstream SDK.
deepstream_tools
deepstream_tools will serve as a parent repo to hold various tools to be released for DeepStream SDK.
inference_builder
A tool for generating python inference pipeline