I tried your models and results are great, so thank you so much for sharing the code! I would like to use it for a project of mine where given an image and the background I have to classify: body parts (people skin) and a specific suit designed by us.
In order to do this I thousght two approaches:
split person foreground in two class (suit and skin) and train an end2end model that from image and bg as input is able to recognize those two classes. I guess this is not an easy task as this is my first approach to your repo and so I wounder if you could give my some advices on code parts that I will have to modify.
Otherwise I could use directly your model to get the foreground and feed it to an instance segmentation model which is able to classify each pixel in one of the two classes.
Do you have any advice?
P.s. I'm collecting a dataset with three instance segmentation labels (background, skin and suit).
HI @PeterL1n and thank you for this amazing repo
I tried your models and results are great, so thank you so much for sharing the code! I would like to use it for a project of mine where given an image and the background I have to classify: body parts (people skin) and a specific suit designed by us.
In order to do this I thousght two approaches:
split person foreground in two class (suit and skin) and train an end2end model that from image and bg as input is able to recognize those two classes. I guess this is not an easy task as this is my first approach to your repo and so I wounder if you could give my some advices on code parts that I will have to modify.
Otherwise I could use directly your model to get the foreground and feed it to an instance segmentation model which is able to classify each pixel in one of the two classes.
Do you have any advice?
P.s. I'm collecting a dataset with three instance segmentation labels (background, skin and suit).