You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: README.md
+1-1Lines changed: 1 addition & 1 deletion
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -96,7 +96,7 @@ cd bin
96
96
```
97
97
98
98
> Notes:
99
-
> 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.
99
+
> 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 x 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.
0 commit comments