#计算机科学#OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
基于模块化的设计，提供丰富的视频算法实现、产业级的视频算法优化与应用，包括安防、体育、互联网、媒体等行业的动作定位与识别、行为分析、智能封面、视频标注、视频打标签等，涵盖动作识别与视频分类、动作定位、动作检测、多模态文本视频检索等技术。
Yolov5+SlowFast: Realtime Action Detection Based on PytorchVideo
Video Feature Extraction Code for EMNLP 2020 paper "HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training"
A PyTorch implementation of "SlowFast Networks for Video Recognition"
Video classification exercise using UCF101 data for training an early-fusion and SlowFast architecture model, both using the PyTorch Lightning framework.
A PyTorch implementation of SlowFast based on ICCV 2019 paper "SlowFast Networks for Video Recognition"
Yolov11 for object detection and Deepsort_oh for object tracking together with official SlowFast for action detection
Code for discovering slow timescale dynamics using the SINDy method
#计算机科学#PyTorch implementation of SlowFast network.
[CVPR 2019] SlowFast Networks for Video Recognition
An advanced action recognition and Video Classifier
Implementation of FICC 2024 paper "Benchmarking Jetson Edge Devices with an End-to-end Video-based Anomaly Detection System"
Multimodal version of SlowFast (Vision + Audio inputs)
Load a SlowFast model, load the weights and modify the head to be used in another project