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Awesome GitHub RepositoriesCheckpoint Simplifiers
Utilities for removing redundant training data and optimizer states from model checkpoint files to minimize size.
Distinct from Model Checkpointing: Distinct from Model Checkpointing: focuses on post-training size reduction and pruning of metadata rather than the act of saving/restoring state.
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Awesome Checkpoint Simplifiers GitHub Repositories
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- open-mmlab/mmpose
open-mmlab/mmpose
7,374Auf GitHub ansehenMMPose 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
Implements utilities to strip redundant optimizer states and training information from checkpoints to reduce model file size.
Pythonanimal-pose-estimationbenchmarkcpm
