Question

[Kamalhsn]

Hi, Your work is so impressive. At present, I am working on a real dataset where I have to remove raindrops. I found that you prepared a mask image with _diff_image >= 35 (Ref: attentive-gan-derainnet/data_provider/tf_io_pipline_tools.py/line-92). However, I am not getting why did you do that particularly. Can I get more information about this mask image preparation?
Thanks in advance.

[MaybeShewill-CV]

@Kamalhsn That's a threshold which you may adjust to suit your local dataset:)

[Kamalhsn]

OK. Can you please provide the criteria to choose the threshold value to extract all the raindrops?
I mean, any resources?

[Kamalhsn]

Hi, How did you choose number of iterations to generate attention maps and didn't you include the attention loss in the model training?

[Jack-Crum]

I don't have the file in the path of ./data/vgg16.npy
Therefore, I have no idea to run your train_model.py
Can anyone help to upload that file? Thank you a lot!
My eami address is [email protected]

[Jack-Crum]

Can you help me to upload the vgg16.npy file? Thank you a lot!

[MaybeShewill-CV]

@Jack-Crum 随便百度一下就有了啊==！ https://blog.csdn.net/lqp888888/article/details/80699125

[MaybeShewill-CV]

@Kamalhsn parameters were based on the origin paper. You may find the details from the origin paper:)