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The YOLO tracker is defaulting to CUDA when available, which is throwing an error when trying to convert the results tensor to a numpy array. This is easily fixed with a
.cpu()
call on the tensor before the conversion, which is simply skipped when running on cpu per the documentation.This allows us to continue letting users with CUDA setup to get the benefits of their GPU