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WisconsinAIVision/yolact_edge

A real-time instance segmentation model optimized to run on edge devices like Jetson AGX Xavier.

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YolactEdge is a competitive instance segmentation approach designed to run on small edge devices at real-time speeds. Built with PyTorch, it achieves up to 30.8 FPS on Jetson AGX Xavier and 172.7 FPS on RTX 2080 Ti using a ResNet-101 backbone at 550x550 resolution. The project provides model weights and inference code for deploying instance segmentation on resource-constrained hardware.

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