How to use imgattmap

[linchunmian]

Hi, jingyi. Thanks for your code.
But I want to know what is the parameter beta? And how can I use this function to see my attentive feature? I confuse a bit, and expect you can help me.
Thanks!

[yijingru]

beta is defined in the attention class of assd_resnet101.py
beta = F.softmax(s, dim=-1)

[linchunmian]

Thanks. If I want to use it on my detection code, where should I place it?

[linchunmian]

And I also have confused that for detection task, the output is not only classification score, as well as box regression and object confidence. In this case, I just place it after the softmax output? or say, it is used for classification score?
Thanks for your immediate reply!

[yijingru]

beta = F.softmax(s, dim=-1) is for attention map normalization. If you are using the attention module in the detection, you can input beta to the imshowAtt to visualize the results. Another softmax for detection is for classification.