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Systems that allow users to implement and plug in custom machine learning algorithms.
Distinct from Algorithm Integrators: Closest candidates were for crypto or RL; this is a general ML algorithm extension framework.
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MMPose is a PyTorch-based pose estimation toolbox and deep learning training pipeline designed for detecting 2D and 3D keypoints on humans, animals, and faces. It serves as a computer vision model zoo and a framework for both 2D pose estimation and 3D pose lifting. The project is distinguished by its modular architecture and extensibility, employing a registry-based system and hierarchical configurations to allow for custom algorithm integration and model pipeline customization. It supports diverse estimation paradigms, including top-down, bottom-up, and two-stage pose lifting workflows. The
Provides a flexible code structure for implementing and integrating custom pose estimation algorithms.