An easy to use PyTorch to TensorRT converter
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Updated
May 3, 2024 - Python
An easy to use PyTorch to TensorRT converter
📊 Simple package for monitoring and control your NVIDIA Jetson [Orin, Xavier, Nano, TX] series
Real-time pose estimation accelerated with NVIDIA TensorRT
How to build your own AI art installation from scratch
volksdep is an open-source toolbox for deploying and accelerating PyTorch, ONNX and TensorFlow models with TensorRT.
Security camera with Raspberry pi and NVIDIA Jetson platforms
🐢 The ROS jetson-stats wrapper. The status of your NVIDIA jetson in diagnostic messages
An oriented object detection framework based on TensorRT
Here resides an end-to-end sample of using an NVIDIA Jetson platform as an Azure IoT Edge device with Live Video Analytics Edge and Azure Blob Storage. An open-source ML model is utilized to detect objects in an RSTP stream simulator. A Python web app is included for reviewing AI detections from Blob Storage.
Use Microsoft Custom Vision to create an object detection model and place into this repo to create a Flask app that runs a local service in a docker container.
This sample is an example of running an AI container on the Jetson platform utilizing GPU acceleration.
🤖 Panther hardware controller. All launch file to enable all devices.
Tools for Nvidia Jetson Nano, TX2, Xavier.
Simple docker image for Diffusers on Jetson devices
Python sample for referencing pre-trained SSD MobileNet V2 (TF 1.x) model with TensorRT
Realtime Monocular depth estimation using Logitech Camera and Jetson Xavier NX board. Used weights from the "Monodepth" algorithm for training, to test in real-time.
The pupose of this project is to do the inference of models YOLOv3 and YOLOv3-Tiny using the the TF-TRT (TensorFlow-TensorRT) Python API with TensorFlow v1.15
Shrimp management autonomous vehicle ROS source code
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