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PyTorch implementation of the U-Net for image semantic segmentation with high quality images

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UNET-MultiClass-Segmentation

segmentation of multiple classes

To run UNet- VGG

python3 train.py --epochs 50 --batch-size 4 --imsize 224 224 --classes 3 --augmentations --unet-vgg
  • Import image size should be 224
  • No need to use --amp , --dropout, --bilinear flag

To run UNet

python3 train.py --epochs 50 --batch-size 4 --imsize 968 732 --amp --classes 3 --dropout --augmentations --learning-rate 0.00001
  • Use learning rate should be 0.00001

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PyTorch implementation of the U-Net for image semantic segmentation with high quality images

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