mmaction2 is a PyTorch video understanding toolbox designed for training and evaluating deep learning models. It serves as a framework for action recognition, temporal localization, and spatio-temporal action detection, providing specialized tools for both pixel-based video analysis and skeleton-based action recognition. The project distinguishes itself through a modular architecture featuring registry-based component discovery and hierarchical, config-driven model assembly. It supports multi-modal feature fusion, integrating RGB frames, optical flow, and audio, and includes capabilities for
Implementation of video captioning from the paper "Temporal Tessellation: A Unified Approach for Video Analysis"
The main features of dot27/temporal-tessellation are: Temporal Action Detection.
Open-source alternatives to dot27/temporal-tessellation include: open-mmlab/mmaction2 — mmaction2 is a PyTorch video understanding toolbox designed for training and evaluating deep learning models. It… escorciav/daps — This repo allocate DAPs code of our ECCV 2016 publication. jiyanggao/cbr — Cascaded Boundary Regression For Temporal Action Detection. shyamal-b/ss-tad — End-to-End, Single-Stream Temporal Action Detection in Untrimmed Videos (Official Repo for SS-TAD). shyamal-b/sst — SST: Single-Stream Temporal Action Proposals (Official Repo). sunnyxiaohu/r-c3d.pytorch — R-C3D pytorch implementation.
