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I converted my custom YOLOv5 model to .onnx using the export_yoloV5.py script. I then ran my program on a Jetson TX2 with the new version of DeepStream-Yolo, and here are the FPS results:
The FPS is unstable (I can fix that), but the main problem is that it’s slower than the previous version (10 FPS vs 12 FPS). If I use the older version with commit ab6de54, and convert using gen_wts_yoloV5.py, I get the following results:
I converted my custom YOLOv5 model to .onnx using the export_yoloV5.py script. I then ran my program on a Jetson TX2 with the new version of DeepStream-Yolo, and here are the FPS results:
The FPS is unstable (I can fix that), but the main problem is that it’s slower than the previous version (10 FPS vs 12 FPS). If I use the older version with commit ab6de54, and convert using gen_wts_yoloV5.py, I get the following results:
I only changed the conversion script and the .so file. Is this performance difference normal, or have I made a mistake?
For conversion on Jetson, I used:
I also tried:
but there was no change. The Deepstream version on Jetson is 6.0.
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