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Generating CUDA Code from MATLAB Code - MATLAB Tutorial
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GPU Coder™ generates optimized CUDA® code from MATLAB® code for deep learning, embedded vision, and autonomous systems. The generated code calls optimized NVIDIA CUDA libraries and can be integrated into your project as source code, static libraries, or dynamic libraries. It can also be used for prototyping on GPUs such as the NVIDIA Tesla® and NVIDIA Tegra®.
This lane detection example shows how to generate CUDA for a trained deep learning network that has been modified from AlexNet. It also includes postprocessing to map the lines to image coordinates as well as to highlight the lane markers in the output video.
This lane detection example shows how to generate CUDA for a trained deep learning network that has been modified from AlexNet. It also includes postprocessing to map the lines to image coordinates as well as to highlight the lane markers in the output video.
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