Shypd.aiThe largest open index of AI toolsEasyCV is an Open Source computer vision toolkit that provides an all-in-one solution for various computer vision tasks. It focuses on self-supervised learning, transformer-based models, and major CV tasks like image classification and object detection.
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EasyCV is an all-in-one computer vision toolbox built on PyTorch, designed to be easy to use and extend. It primarily focuses on state-of-the-art self-supervised learning algorithms, including contrastive learning methods like SimCLR, MoCO V2, Swav, DINO, and masked image modeling like MAE. The toolkit also supports transformer-based models such as ViT, Swin Transformer, and DETR Series, with plans for more additions. Beyond self-supervised learning, EasyCV facilitates image classification, object detection, and metric learning. Its modular framework allows for easy integration of new components, and it offers simple interfaces for inference. The platform supports multi-GPU and multi-worker training, utilizing DALI for accelerated data I/O and TorchAccelerator with fp16 for faster training. Models can be deployed as online services with automatic scaling and monitoring via PAI-EAS.
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