Yuht

I have the same question, after set ViT parameters grad to True and the parameters weren't updated : (

> > I don't see how they'd be equivalent with the softmax there... > > @rwightman maybe I am just in denial, however, each row of the attention is one...

> @gpucce right yeah, chunking q is fine and done in other situations so this should be as well … mixed up my dim for the softmax. But yeah, the...

The gt parsing in mtdataset is like this:   and if you dont change the mapper you will get:  which is absolutely wrong, and if you change the...

The color code is as follow: import numpy as np import matplotlib.pyplot as plt from PIL import Image import os root='/data/BeautyREC/imgs/makeup_imgs_seg' image='0d384dbbcc121ca5049c423f81c26e6a.png' image_save='/data/BeautyREC/show_pre1.png' img = Image.open(os.path.join(root,image)) img=np.asarray(img) color_map = {...

well there is still a bug is that the user can't wear glasses, cause the class of glass will overlap the class of eyes,then the model will not find the...

> MrPetrichor:I follow ur method to solve problem.But the result also is terrible. For exp, the background color is wrong. When you test the picture above, can you get the...

Hope this may help you, https://github.com/learningyan/BeautyREC/issues/6

I have solved all the problems and get the right picture. There are few bugs: The model need four inputs: ori_img, makeup_img, ori_img's parsing,makeup_img's parsing. Well you can get the...

The gt parsing in mtdataset is like this:   and if you dont change the mapper you will get:  which is absolutely wrong, and if you change the...