Challenge: A camera technology company needed their advanced deep learning algorithms to perform efficiently on nVidia’s Jetson AGX, but initial tests on workstation PCs showed unsatisfactory performance.
Solution: We analyzed the application using profiling tools to identify and address performance bottlenecks. Our targeted optimizations enhanced performance without altering the existing architecture.
Result: The application’s frame rate improved from 7fps to 60fps, demonstrating that the Jetson AGX could handle real-time processing and accommodate additional features.
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