#EasyCV

EasyCV is a PyTorch-based computer vision toolkit specializing in self-supervised learning and transformer architectures. It covers various tasks such as image classification, object detection, and pose estimation. The toolkit features state-of-the-art self-supervised learning algorithms, Vision Transformers, and supports extensive functionality and scalability. EasyCV facilitates multi-GPU and multi-worker training, with accelerated data processing using DALI and training optimizations through TorchAccelerator and fp16. Recent updates introduce models like YOLOX-PAI and STDC, enhancing its capabilities in segmentation and video recognition. It integrates with PAI-EAS for seamless online deployment and monitoring.