YOLOs-CPP
Visit ToolYOLOs-CPP is an open-source C++ inference engine for YOLO models (v5-v12, YOLO26). It provides a unified API for detection, segmentation, pose estimation, OBB, and classification, optimized for CPU/GPU.
At a glance
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YOLOs-CPP is an open-source C++ inference engine for YOLO models (v5-v12, YOLO26). It provides a unified API for detection, segmentation, pose estimation, OBB, and classification, optimized for CPU/GPU.
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About
YOLOs-CPP is a production-ready, cross-platform C++ inference engine designed for the entire YOLO model ecosystem, supporting versions from v5 to YOLO26. It offers a unified and consistent API for various tasks including object detection, instance segmentation, pose estimation, oriented bounding boxes (OBB), and classification. Built on ONNX Runtime and OpenCV, the engine is optimized for both CPU and GPU, with support for quantization. It addresses the fragmented nature of YOLO implementations by providing a single, battle-tested solution with zero-copy preprocessing, batched NMS, and extensive automated testing to ensure precision matched with Ultralytics Python.
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Pricing & Plans
Open Source
Free
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