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Fast (aimed to "real time") Portrait Segmentation on mobile phone

Python 100.00%

segmentation portrait-matting pytorch real-time

fast_portrait_segmentation's Issues

Are you going to continue this project? Do you have any model trained to be shared?

mac上15fps左右，比较慢啊！！华为手机上实时的视频分割效果好像不是很好

hi，can you give the train code

dataset

bro, have u uploaded the supervisely dataset to googledrive or baiduyun? The origin link is very slowly. Thank u for sharing it.

acc,loss

It is cool.
HI,could please provide the image of acc/val_loss?

May I ask about COCO datasets.

Hi, thanks for the sharing of results. Do you use all of the classes in COCO datasets for training or just use one class for 'person'.

Hi, are you using encoder - decoder architecture like the U-Net or coarse segmentation - fine matting architecture in the real time model ? If possible can you give in depth information regrading the same.

where is BilinearConvTranspose2d

Thanks for your share, in file shuffle_seg_skipnet.py, there is a function named BilinearConvTranspose2d. Is it imported from model.layers? but I didn't find model.layers in your project.

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