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# BiRefNet C++ TENSORRT
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A high-performance C++ implementation of the Bilateral Reference Network (**BiRefNet**) leveraging **TensorRT** and **CUDA**, optimized for real-time, high-resolution dichotomous image segmentation.
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**BiRefNet C++ TENSORRT** is designed to efficiently run bilateral reference segmentation tasks on the GPU. By harnessing TensorRT’s optimizations and CUDA kernels, it aims to deliver state-of-the-art performance with minimal latency.
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<p>
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<imgsrc="asset/1693479941020.jpg"alt="BiRefNet C++ TENSORRT"width="300" />
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<imgsrc="asset/O-1693479941020.jpg"alt="BiRefNet C++ TENSORRT"width="300" />
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</p>
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### Key Features
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-**TensorRT Acceleration**: Speed up inference for segmentation tasks using serialized TRT engines.
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