Comments (3)
I use the following command got different result on different result:
python3 trt.py -e yolov8n.trt -i src/1.jpg -o yolov8n-1.jpg --end2end
print(final_boxes, final_scores, final_cls_inds) [[377. 57.75 907. 708.25]] [0.77539062] [0.]
Inference result on Jetson Nano (Tegra X1)
print(final_boxes, final_scores, final_cls_inds) [[ 377. 58. 907. 708.]] [-0.22753906] [ 0.]
The bounding box coordinates appear to align quite closely; however, the confidence score appears to be suffering from a conversion error. Do I need to do additional settings during the ONNX to TensorRT transformation phase?
the error casue by nms plugin, recommend use fp32.
python export.py -o yolov8s.onnx -e yolov8s.trt --end2end --v8 -p fp32
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#93 refer this
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thanks for ur reply sir!
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