alibaba/EasyCV
A PyTorch-based all-in-one computer vision toolbox providing SOTA self-supervised learning, Vision Transformers, and standard CV task implementations.
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EasyCV is a comprehensive computer vision toolkit built on PyTorch that covers self-supervised learning algorithms (SimCLR, MoCO V2, Swav, DINO, MAE), Vision Transformers (ViT, Swin Transformer, DETR), and major CV tasks including image classification, object detection, and pose estimation. It provides training pipelines, evaluation benchmarks, and pretrained model support sourced from timm.
Frequently asked
- What is alibaba/EasyCV?
- A PyTorch-based all-in-one computer vision toolbox providing SOTA self-supervised learning, Vision Transformers, and standard CV task implementations.
- Is EasyCV open source?
- Yes — alibaba/EasyCV is open source, released under the Apache-2.0 license.
- What language is EasyCV written in?
- alibaba/EasyCV is primarily written in Python.
- How popular is EasyCV?
- alibaba/EasyCV has 1.9k stars on GitHub.
- Where can I find EasyCV?
- alibaba/EasyCV is on GitHub at https://github.com/alibaba/EasyCV.