Model output is garbled

[tian123-zxc]

I use the modified version of the yolov program to train my model and the results are very good, but after converting to rknn, the recognition output will be out of the box. Someone suggested to me because the output dimension of my onnx model is 4 dimensions, and the official one is 5 dimensional, after that I found that when exporting the onnx model without adding the --ignore_output_permute parameter the output is 5 dimensional. But after converting the model, the frame is still messed up in this demo, and there are a lot of coordinates output. Please how can I solve this problem

[batuhanberkayaydin]

I think this is about anchors. If you can replace the anchors according to your trained model, the problem is solved.