Pinned Repositories
azure-iot-edge-deepstream-module-with-iot-central
Demonstration using the the Nvidia DeepStream Module from the Azure Marketplace with Azure IoT Central
bodyposenet-on-deepstream
DeepLearningExamples
Deep Learning Examples
deepops
Tools for building GPU clusters
deepstream-lpr-python-version
Python version for NVIDIA Deepstream's LPR. https://developer.nvidia.com/blog/creating-a-real-time-license-plate-detection-and-recognition-app/
deepstream-rtspsrc-yolo
deepstream-test1-segmentation
Modified deepstream-test1 sample app to accept segmentation models and output the masks. There's also a CMake file for those who like it better than Makefiles.
deepstream-test1-usb-people-count
This app is an extension of the `deepstream-test1` allowing interactive execution via a USB camera.
deepstream6.1-yolov8
Latest object-detection SOTA model YOLOv8 with DeepStream!
Deepstream_multicamera
This Deepstream application showcases Multi-camera Object Detection and Tracking using YOLOv4 model running with High FPS.
NMadhub's Repositories
NMadhub/Deepstream_multicamera
This Deepstream application showcases Multi-camera Object Detection and Tracking using YOLOv4 model running with High FPS.
NMadhub/deepstream6.1-yolov8
Latest object-detection SOTA model YOLOv8 with DeepStream!
NMadhub/DeepLearningExamples
Deep Learning Examples
NMadhub/deepops
Tools for building GPU clusters
NMadhub/deepstream-test1-usb-people-count
This app is an extension of the `deepstream-test1` allowing interactive execution via a USB camera.
NMadhub/DeepStream-Yolo
NVIDIA DeepStream SDK 6.1 / 6.0.1 / 6.0 configuration for YOLO models
NMadhub/deepstream_parallel_inference_app
A project demonstrating how to use nvmetamux to run multiple models in parallel.
NMadhub/deepstream_reference_apps
Samples for TensorRT/Deepstream for Tesla & Jetson
NMadhub/Distributed_Training_CV
NMadhub/ds_app_output
NMadhub/Exercise-Counter-with-YOLOv8-on-NVIDIA-Jetson
Pose estimation demo for exercise counting with YOLOv8
NMadhub/gpubootcamp
This repository consists for gpu bootcamp material for HPC and AI
NMadhub/HER-workshop
This workshop is tailored for university graduates eager to explore the synergy between artificial intelligence, deep learning, and robotics using NVIDIA Jetson devices and the robust Metropolis SDK.
NMadhub/HPO_Ray
NMadhub/isaac-sim-jetson-hil-course-doc
Doc site for Isaac Sim + Jetson HIL hands-on course
NMadhub/isaac_demo
Set of demo to try Isaac ROS with Isaac SIM
NMadhub/jetson-generative-ai-playground
NMadhub/jetson_benchmarks
Jetson Benchmark
NMadhub/jetsonGPT
Using FastChat-T5 Large Language Model, Vosk API for automatic speech recognition, and Piper for text-to-speech
NMadhub/k8_scripts
NMadhub/models
Models and examples built with TensorFlow
NMadhub/nnDetection
nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.
NMadhub/ondemand
Supercomputing. Seamlessly. Open, Interactive HPC Via the Web
NMadhub/Qt6-classic-Depth-Calcurator
Realtime calculater 3d depth distance on Jetson with onnx
NMadhub/RAG_Jetson
Explore RAG applied on Jetson for advanced Gen-AI development.
NMadhub/stablediffusion
High-Resolution Image Synthesis with Latent Diffusion Models
NMadhub/tao_toolkit_recipes
NMadhub/tutorials
MONAI Tutorials
NMadhub/yolov7-object-blurring
YOLOv7 Object Blurring Using PyTorch and OpenCV
NMadhub/yolov7-pose-estimation
YOLOv7 Pose estimation using OpenCV, PyTorch