OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

Open source implementation of OPC UA (OPC Unified Architecture) aka IEC 62541 licensed under Mozilla Public License v2.0

Awesome video understanding toolkits based on PaddlePaddle. It supports video data annotation tools, lightweight RGB and skeleton based action recognition model, practical applications for video tagging and sport action detection.

A one stop shop for all of your activity recognition needs.

NXP AVB/TSN stack

EPIC-KITCHENS-55 baselines for Action Recognition

Transform the caffe model to pytorch model for Temporal Segment Network

CoRE4INET is an extension to the INET-Framework for the event-based simulation of real-time Ethernet in the OMNEST/OMNeT++ simulation system.

A scheduling and benchmark toolkit for Time-Sensitive Networking in Python

学习工业互联网4.0

Tool for Time Sensitive Networking testing

DeNS: Deterministic Networks Simulator

Using TSNkit and OMNeT for TSN network scheduling and simulation

Open-source implementation of the IEEE 1722 protocol, for streaming audio/video, tunneling CAN/LIN messages and enabling remote access to peripheral bus systems.

Proof-of-concept for a developer-friendly system service to handle time-sensitive applications.

This is the step by step course to master TSN including TSN standard, TSN prototype, TSN scheduling algorithms etc.

Code designed for MSc. Telecommunications Engineering Final Project

plget is a tool used to measure latency packets spent in network stack, NIC driver and on the wire, trace interpacket gap, based as on h/w as on sw timestamping, as for rx as for tx path, measure speed and more ...

[ECCV 2016] Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

A modular management and configuration framework for distributed real-time applications in a TSN-based network