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HealthiVert-GAN

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  1. checkpoints/HealthiVert-GAN-sagittal/latest_net_D_1.pth +3 -0
  2. checkpoints/HealthiVert-GAN-sagittal/latest_net_D_2.pth +3 -0
  3. checkpoints/HealthiVert-GAN-sagittal/latest_net_D_3.pth +3 -0
  4. checkpoints/HealthiVert-GAN-sagittal/latest_net_G.pth +3 -0
  5. checkpoints/HealthiVert-GAN-sagittal/loss_log.txt +0 -0
  6. checkpoints/HealthiVert-GAN-sagittal/test_opt.txt +42 -0
  7. checkpoints/HealthiVert-GAN-sagittal/train_opt.txt +61 -0
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checkpoints/HealthiVert-GAN-sagittal/loss_log.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoints/HealthiVert-GAN-sagittal/test_opt.txt ADDED
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+ ----------------- Options ---------------
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+ aspect_ratio: 1.0
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+ batch_size: 12
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+ checkpoints_dir: ./checkpoints
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+ crop_size: 256
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+ dataroot: ./datasets/straighten/revised [default: None]
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+ dataset_mode: aligned
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+ direction: BtoA [default: AtoB]
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+ display_winsize: 256
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+ epoch: latest
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+ eval: False
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+ gpu_ids: 0
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+ init_gain: 0.02
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+ init_type: normal
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+ input_nc: 1
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+ isTrain: False [default: None]
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+ load_iter: 0 [default: 0]
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+ load_size: 256
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+ max_dataset_size: inf
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+ model: pix2pix [default: test]
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+ n_layers_D: 3
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+ name: 0426_adaptive_sagittal [default: experiment_name]
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+ ndf: 64
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+ netD: basic
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+ netG: unet_256
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+ ngf: 64
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+ no_dropout: False
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+ no_flip: False
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+ norm: batch
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+ num_test: 1000
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+ num_threads: 16
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+ output_nc: 1
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+ phase: test
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+ preprocess: none
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+ results_dir: ./results/
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+ serial_batches: False
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+ suffix:
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+ use_wandb: False
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+ verbose: False
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+ vert_class: normal
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+ wandb_project_name: CycleGAN-and-pix2pix
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+ ----------------- End -------------------
checkpoints/HealthiVert-GAN-sagittal/train_opt.txt ADDED
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+ ----------------- Options ---------------
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+ batch_size: 12
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+ beta1: 0.5
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+ checkpoints_dir: ./checkpoints
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+ continue_train: False
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+ crop_size: 256
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+ dataroot: ./datasets/straighten/revised [default: None]
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+ dataset_mode: aligned
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+ direction: BtoA [default: AtoB]
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+ display_env: main
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+ display_freq: 400
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+ display_id: 1
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+ display_ncols: 4
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+ display_port: 8097
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+ display_server: http://localhost
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+ display_winsize: 256
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+ epoch: latest
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+ epoch_count: 1
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+ gan_mode: vanilla
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+ gpu_ids: 0
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+ init_gain: 0.02
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+ init_type: normal
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+ input_nc: 1
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+ isTrain: True [default: None]
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+ lambda_L1: 200.0
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+ load_iter: 0 [default: 0]
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+ load_size: 256
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+ lr: 0.0002
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+ lr_decay_iters: 50
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+ lr_policy: linear
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+ max_dataset_size: inf
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+ model: pix2pix
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+ n_epochs: 200
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+ n_epochs_decay: 800
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+ n_layers_D: 3
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+ name: 0426_adaptive_sagittal [default: experiment_name]
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+ ndf: 64
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+ netD: basic
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+ netG: unet_256
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+ ngf: 64
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+ no_dropout: False
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+ no_flip: False
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+ no_html: False
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+ norm: batch
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+ num_threads: 16
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+ output_nc: 1
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+ phase: train
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+ pool_size: 0
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+ preprocess: none
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+ print_freq: 100
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+ save_by_iter: False
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+ save_epoch_freq: 5
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+ save_latest_freq: 5000
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+ serial_batches: False
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+ suffix:
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+ update_html_freq: 1000
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+ use_wandb: False
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+ verbose: False
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+ vert_class: normal
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+ wandb_project_name: CycleGAN-and-pix2pix
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+ ----------------- End -------------------