Lllllp93

Maybe you should convert the NMS function to python code first. I can convert the model to onnx after rewriting that function. My problem is I get this error when...

> @Lllllp93, could you, please, share the code how you converted nms function and how did you convert the model to onnx? > > I've also found some website about...

@sevocrear, The **return** should be: ` return torch.tensor(keep_index), num_to_keep ` So for the difference between these two implementations, I guess maybe you visualized all lanes after nms. Notice the **keep...

> > In addition,I just found that the post-processing(decode) was included in the onnx model. And I can run it with onnxruntime after remove post-processing part. > > @Lllllp93 How...

> @hwang12345 It seems like you use torch.min() to compared different data type tensors as the error message shows, self.n_offsets in your code may be a long tensor. You can...