Showing 1-18 of 18 projects
Object detection toolbox for PyTorch with support for multiple tasks and state-of-the-art models.
An open-source semantic segmentation toolbox and benchmark for computer vision tasks.
OpenMMLab Pose Estimation Toolbox and Benchmark for developers working on computer vision and AI-powered applications.
An open-source, multi-purpose AI creation toolbox for text-to-image, image/video processing, and more.
An open-source computer vision library that provides high-performance and modular components for building advanced AI/ML models.
OpenMMLab's toolbox and benchmark for advanced video understanding and action recognition.
An open-source toolbox for text detection, recognition, and understanding tasks powered by PyTorch.
An open-source video perception toolbox for object detection, tracking, and instance segmentation tasks.
A pre-training toolbox and benchmark for vision AI models, including self-supervised learning and state-of-the-art architectures.
An open-source toolbox for implementing state-of-the-art object detection models like YOLOv5, YOLOv6, YOLOv7, and RTMDet.
OpenMMLab's model deployment framework for optimizing and deploying computer vision models across various backends.
A Python library for human pose estimation, skeleton-based action recognition, and action synthesis.
An open-source toolbox and benchmark for model compression and acceleration in PyTorch.
Open-source foundational library for training deep learning models with PyTorch.
An OpenMMLab toolkit for 3D human parametric model development and benchmarking.
An open-source collection of computer vision tutorials and resources for developers.
A central hub for extending OpenMMLab's powerful computer vision capabilities with SAM and other AI features.
Open-source optical flow toolbox and benchmark for computer vision tasks powered by PyTorch.
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