Showing 1-15 of 15 projects
An open-source toolkit for computer vision tasks, supporting a wide range of deep learning models and applications.
OpenMMLab's toolbox and benchmark for advanced video understanding and action recognition.
A curated list of action recognition and related area resources for developers working with computer vision and video processing.
A Python library for human pose estimation, skeleton-based action recognition, and action synthesis.
A collection of pre-trained, state-of-the-art AI models for the ailia SDK, supporting a wide range of computer vision and natural language processing tasks.
A curated collection of ICCV conference papers, code, and interpretations for computer vision developers.
A video foundation model and dataset for multimodal understanding and video understanding tasks.
An open-source toolbox for action understanding based on PyTorch, focused on computer vision and video analysis.
A self-supervised video representation learning model for video understanding tasks.
PaddleVideo is a powerful toolkit for video understanding tasks like action recognition, localization, and detection.
Code and models for Temporal Segment Networks (TSN) for action recognition in video understanding.
Train, evaluate, optimize, and deploy computer vision models with OpenVINO, a toolkit for accelerating deep learning on edge devices.
A Python toolbox for skeleton-based action recognition using deep learning and PyTorch.
Video classification tools using 3D ResNet for action recognition and computer vision tasks.
A PyTorch implementation of Temporal Segment Networks (TSN) for video understanding and action recognition.
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