Person_reID_baseline_pytorch
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Optimizing the model on Edge Device
Can you help me in suggesting which is the best optimizing method to implement this in edge devices with GPU ? For e.g it runs @3 FPS on Jetson Nano , How can I increase the speed on it to 6 FPS?
Hi @chetansarmak You may consider float16 or TensorRT.
Oh great , Thank you @layumi I have tried out FP16, I wanted to try TensorRT , as that should increase the speed greater than 6 FPS I guess . have you tried or Is there anyone who tried it earlier , cause running this model consumes most of GPU utilization in tensorRT I feel, correct me if I am wrong ?
Thanks in advance
@chetansarmak Are you able to run this on Jetson as tensorRT? I couldn't be able covert this model into a tensorRT inference. Can you share any codes or methods you have?