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Low FPS on jetson type devices #24
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I think yolor-ssss-dwt + tkDNN wont't have only 30 fps, since in my experiments yolov4-s is far faster than 30fps on xavier nx. |
Thanks for the answer. No, the result is the same. About 27FPS when processing a file. Tell me what version of the torch you have? I have torch 1.8.0 CUDA: 0 (Xavier, 7765MB) and torchvision 0.9.0. FP16 is included. |
I used pure tensorrt without tkdnn. |
Thanks for the answer. I managed to convert the model to onnx, however, I have not yet managed to collect and draw an output through tensorrt. Can you tell us how you made the output in tensorrt? |
I ran the model through onnx_tensorrt, but the speed remains the same. |
Hello. Thanks for your work.
When testing yolor-ssss-dwt 640 on devices like jetson Xavier NX, an unsatisfactory result was obtained in terms of performance (about 30 frames per second), yolo4-tiny + tkDNN FP16 640 * 640 ~ 100 fps. Are there ways to speed up the output for end devices?
At 2070S ~ 100 FPS
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