Megvii-BaseDetection/cvpods
A PyTorch-based open-source toolbox for computer vision research supporting detection, segmentation, classification, keypoints, and 3D tasks.
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cvpods is a research-focused computer vision framework built on PyTorch that provides unified implementations for tasks including object detection, semantic/instance segmentation, classification, keypoint detection, self-supervised learning, and 3D vision. It aims to simplify experiment management and task switching for CV researchers by offering a consistent codebase across multiple modalities and training paradigms.
Frequently asked
- What is Megvii-BaseDetection/cvpods?
- A PyTorch-based open-source toolbox for computer vision research supporting detection, segmentation, classification, keypoints, and 3D tasks.
- Is cvpods open source?
- Yes — Megvii-BaseDetection/cvpods is open source, released under the Apache-2.0 license.
- What language is cvpods written in?
- Megvii-BaseDetection/cvpods is primarily written in Python.
- How popular is cvpods?
- Megvii-BaseDetection/cvpods has 661 stars on GitHub.
- Where can I find cvpods?
- Megvii-BaseDetection/cvpods is on GitHub at https://github.com/Megvii-BaseDetection/cvpods.