OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
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Updated
Aug 14, 2024 - Python
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
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.
EPIC-KITCHENS-55 baselines for Action Recognition
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
Tool for Time Sensitive Networking testing
DeNS: Deterministic Networks Simulator
Using TSNkit and OMNeT for TSN network scheduling and simulation
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.
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 ...
Code designed for MSc. Telecommunications Engineering Final Project
[ECCV 2016] Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
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