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Performance Issue with video_to_pose_server.py
Hi, thanks for sharing this fascinating work!
I have been testing the video_to_pose_server.py script on an NVIDIA 3090 GPU, but I am only achieving around 15 FPS, which is lower than the 30 FPS mentioned in your documentation. I am curious to know if TensorRT is a mandatory requirement to achieve the desired 30 FPS performance, or if there might be some other reasons leading to this discrepancy.
I appreciate any insights you could provide on this!
I didn't do tensorRT but I did use two machines to do the demo, one to run pose estimation and another one for simulation. Are you running simulation + pose estimation on the same GPU?
Yes, I'm running both simulation and pose estimation on the same GPU. After switching to a device with an A6000, it managed to reach 40 FPS (which is a bit unexpected) and I think maybe bottleneck is on the CPU side. Thank you for the clarification!