Alankar Shukla

> You need to get face segmentations at the first step, please refer to [this](https://github.com/zllrunning/face-parsing.PyTorch) for details. Then you can swap the two faces by giving the path to the...

> For this kind of image, you need to detect and align the face according to the CelebA-HQ paper (or simply by RetinaFace). Then, you can swap them if everything...

> The target segmentation. Again the same, 

> You may make mistake of the target segmentation, it should have values from 0 to 17 (the semantic index), not RGB values. Just like in https://github.com/zllrunning/face-parsing.PyTorch/blob/master/evaluate.py line 39, save...

> > For this kind of image, you need to detect and align the face according to the CelebA-HQ paper (or simply by RetinaFace). Then, you can swap them if...

Thanks a lot for your time, can you tell like will it be possible using any virtual Tryon model, I tired few of them but haven't got any proper result....

Thanks, I'll check them out. On Mon, 22 Nov 2021 at 19:10, Yuhao ***@***.***> wrote: > Sorry, I didn't use any Try-on models. > And face alignment is one step...

okay thanks for the response, so should i use the dataset link provided by you directly, in the code.?

@dataset is too huge so I'm unable to analyze the data and don't know what part I should look into that, Any way if you got any suggestions then i...

hey @eyuansu62 can you help me in running the code?