khadas vim3
ubuntu
after model convert in interface i got multiple detection in yolov7`
Hello @upeya
@Louis-Cheng-Liu will help you then.
Hello @upeya ,
Do you use our YOLOv7 demo?
It is the mistake in post-process. But from the two images, i am not sure where the problem lies in the post-process.
Hello @upeya ,
Your model is different from our YOLOv7 demo model. Our model only has three outputs and outputs shape are different, too. You need to modify post-process which is fixed your model output.
And I am curious about the last four outputs. Is the normal outputs in your model? What result do they export?
i also dont know about this output but i have also test another model and in that also same thing happen.
Hello @upeya ,
You forget to do this step.
Our demo model.
Another method. You can modify demo to change the dimensions after getting outputs.
- input0_data = input0_data.reshape(SPAN, LISTSIZE, GRID0, GRID0)
- input1_data = input1_data.reshape(SPAN, LISTSIZE, GRID1, GRID1)
- input2_data = input2_data.reshape(SPAN, LISTSIZE, GRID2, GRID2)
+ input0_data = input0_data.reshape(SPAN, GRID0, GRID0, LISTSIZE)
+ input1_data = input1_data.reshape(SPAN, GRID1, GRID1, LISTSIZE)
+ input2_data = input2_data.reshape(SPAN, GRID2, GRID2, LISTSIZE)
- input_data.append(np.transpose(input0_data, (2, 3, 0, 1)))
- input_data.append(np.transpose(input1_data, (2, 3, 0, 1)))
- input_data.append(np.transpose(input2_data, (2, 3, 0, 1)))
+ input_data.append(np.transpose(input0_data, (1, 2, 0, 3)))
+ input_data.append(np.transpose(input1_data, (1, 2, 0, 3)))
+ input_data.append(np.transpose(input2_data, (1, 2, 0, 3)))
And remember modify LISTSIZE in demo.
Hello @upeya ,
Emmm… Are you sure that you modify it in right place?
yes i am sure, i have verified it.
After that i run python export.py --weights runs/train/exp/weights/best.pt
Hello @upeya ,
Emmm… I am confused too… I suggest that you can add some print to make sure when export model it use which forward.
Or you can try another method to change output on demo codes.
Hello @upeya ,
These outputs are right. Could it infer right result?
yes , thanks a lot 
hey bro, is there any model for face recognition work with npu (vim3) ?
Hello @upeya ,
Sorry, VIM3 does not have face recognition now. Only has RetinaFace by C++ which detects faces and the key-points each face. Do not have KSNN version.
Application Source Code [Khadas Docs]
If you want to do it, you can try to refer VIM4 Face Recognition model and realize Face Recognition by yourself on VIM3.
Face Recognition VIM4 Demo - 7 [Khadas Docs]
