README.md

Pix2Pix UNet Model

• Image Size: 1024
• Model Type: big_UNet (1024)

Model Architecture

UNet( (encoder): Sequential( (0): Conv2d(3, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) (1): ReLU(inplace=True) (2): Conv2d(64, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) (3): ReLU(inplace=True) (4): Conv2d(128, 256, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) (5): ReLU(inplace=True) (6): Conv2d(256, 512, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) (7): ReLU(inplace=True) (8): Conv2d(512, 1024, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) (9): ReLU(inplace=True) ) (decoder): Sequential( (0): ConvTranspose2d(1024, 512, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) (1): ReLU(inplace=True) (2): ConvTranspose2d(512, 256, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) (3): ReLU(inplace=True) (4): ConvTranspose2d(256, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) (5): ReLU(inplace=True) (6): ConvTranspose2d(128, 64, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) (7): ReLU(inplace=True) (8): ConvTranspose2d(64, 3, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1)) (9): Tanh() ) )