YOLOV2 training using GPU

7 views (last 30 days)
gil on 29 Nov 2021
Answered: Shivam Singh on 3 Dec 2021
Trying to run the following code on GPUCoder and error that trainYOLOv2ObjectDetector is not supported.
[detector,info] = trainYOLOv2ObjectDetector(trainingData,lgraph,options);
If the above code is not supported by the GPU coder, what are the alternatives to accelerate YOLOV2 training process?

Accepted Answer

Shivam Singh
Shivam Singh on 3 Dec 2021
Hello gil,
Code generation using GPU Coder™ for trainYOLOv2ObjectDetector is not supported.
Yolov2 training process can be accelerated by using GPUs.
[detector,info] = trainYOLOv2ObjectDetector(trainingData,lgraph,options);
To access the GPUs, you can set the “options” in the trainYOLOv2ObjectDetector function, by referring the ExecutionEnvironment in the trainingOptions function.
Once the detector is trained and evaluated, then you can generate code for the yolov2ObjectDetector using GPU Coder™. For more information related to Code generation using GPU Coder™, you can refer the following:

More Answers (0)


Find more on Recognition, Object Detection, and Semantic Segmentation in Help Center and File Exchange





Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!