Provides differentiable, GPU-accelerated computer-vision operators and geometric building blocks on top of PyTorch; includes 500+ ops, augmentation pipelines, and pre-trained models for detection, matching, and segmentation—suitable for research and production vision pipelines.
Modular implementations of object detection, instance/semantic/panoptic segmentation and related vision models for research and deployment. Offers a large model zoo, export to TorchScript/Caffe2, and PyTorch-native optimizations for faster training and extensibility.
