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Real-Time Object Detection with YOLO v2 Using GPU Coder

Walk through an example of real-time object detection using YOLO v2 in MATLAB®. We start with a published example in MATLAB that explains how to train a YOLO v2 object detector and, using GPU Coder™, we generate optimized CUDA code.

We verify the generated code by compiling it into a MEX file using nvcc and we find the generated MEX to run at about 80 frames per second on the test video file.

Using the hardware support package for NVIDIA® GPUs, we deploy the generated code to the Jetson Xavier board as a standalone application.

Other Resources
Object Detection Using Deep Learning:
Object Detection Using YOLO v2 Deep Learning:
NVIDIA GPU Support from GPU Coder:

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