add notes

Author: Li-Hongda

README.md

@@ -93,6 +93,11 @@ cd bin
 ./object_detection yolov5 /path/to/input/dir 
 ```
 
+> Notes:
+> 1. The output of the model is required for post-processing is num_bboxes (imageHeight x image Width) x num_pred(num_cls + coordinates + confidence),while the output of YOLOv8 is num_pred * num_bboxes,which means the predicted values of the same box are not contiguous in memory.For convenience, the corresponding dimensions of the original pytorch output need to be transposed when exporting to ONNX model.
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 ## 5.Reference
 [0].https://github.com/NVIDIA/TensorRT<br>
 [1].https://docs.nvidia.com/deeplearning/tensorrt/developer-guide/index.html#c_topics<br>