diff --git a/checkpoints/ROMA_UNSB_001/loss_log.txt b/checkpoints/ROMA_UNSB_001/loss_log.txt new file mode 100644 index 0000000..485f77f --- /dev/null +++ b/checkpoints/ROMA_UNSB_001/loss_log.txt @@ -0,0 +1,2 @@ +================ Training Loss (Sun Feb 23 15:46:44 2025) ================ +================ Training Loss (Sun Feb 23 15:52:29 2025) ================ diff --git a/checkpoints/ROMA_UNSB_001/train_opt.txt b/checkpoints/ROMA_UNSB_001/train_opt.txt new file mode 100644 index 0000000..0658b40 --- /dev/null +++ b/checkpoints/ROMA_UNSB_001/train_opt.txt @@ -0,0 +1,82 @@ +----------------- Options --------------- + atten_layers: 1,3,5 + batch_size: 1 + beta1: 0.5 + beta2: 0.999 + checkpoints_dir: ./checkpoints + continue_train: False + crop_size: 256 + dataroot: /home/openxs/kunyu/datasets/InfraredCity-Lite/Double/Moitor [default: placeholder] + dataset_mode: unaligned_double [default: unaligned] + direction: AtoB + display_env: ROMA [default: main] + display_freq: 50 + display_id: None + display_ncols: 4 + display_port: 8097 + display_server: http://localhost + display_winsize: 256 + easy_label: experiment_name + epoch: latest + epoch_count: 1 + eta_ratio: 0.1 + evaluation_freq: 5000 + flip_equivariance: False + gan_mode: lsgan + gpu_ids: 0 + init_gain: 0.02 + init_type: xavier + input_nc: 3 + isTrain: True [default: None] + lambda_GAN: 8.0 [default: 1.0] + lambda_NCE: 8.0 [default: 1.0] + lambda_SB: 0.1 + lambda_ctn: 1.0 + lambda_inc: 1.0 + lmda_1: 0.1 + load_size: 286 + lr: 1e-05 [default: 0.0002] + lr_decay_iters: 50 + lr_policy: linear + max_dataset_size: inf + model: roma_unsb [default: cut] + n_epochs: 100 + n_epochs_decay: 100 + n_layers_D: 3 + name: ROMA_UNSB_001 [default: experiment_name] + nce_T: 0.07 + nce_idt: False [default: True] +nce_includes_all_negatives_from_minibatch: False + nce_layers: 0,4,8,12,16 + ndf: 64 + netD: basic + netF: mlp_sample + netF_nc: 256 + netG: resnet_9blocks + ngf: 64 + no_antialias: False + no_antialias_up: False + no_dropout: True + no_flip: True [default: False] + no_html: False + normD: instance + normG: instance + num_patches: 256 + num_threads: 4 + output_nc: 3 + phase: train + pool_size: 0 + preprocess: resize_and_crop + pretrained_name: None + print_freq: 100 + random_scale_max: 3.0 + save_by_iter: False + save_epoch_freq: 5 + save_latest_freq: 5000 + serial_batches: False +stylegan2_G_num_downsampling: 1 + suffix: + update_html_freq: 1000 + use_idt: False + verbose: False +----------------- End ------------------- diff --git a/data/__pycache__/image_folder.cpython-39.pyc b/data/__pycache__/image_folder.cpython-39.pyc new file mode 100644 index 0000000..1da8242 Binary files /dev/null and b/data/__pycache__/image_folder.cpython-39.pyc differ diff --git a/data/__pycache__/unaligned_double_dataset.cpython-39.pyc b/data/__pycache__/unaligned_double_dataset.cpython-39.pyc new file mode 100644 index 0000000..2af0d28 Binary files /dev/null and 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