| location: | |
| data_root_dir: C:\Users\Green\Desktop\lama-main/celeba-hq-dataset/ | |
| out_root_dir: F:\Result celeba/experiments/ | |
| tb_dir: F:\Result celeba/tb_logs/ | |
| pretrained_models: C:\Users\Green\Desktop\lama-main/ | |
| data: | |
| batch_size: 25 | |
| val_batch_size: 40 | |
| num_workers: 4 | |
| train: | |
| indir: ${location.data_root_dir}/train_256 | |
| out_size: 256 | |
| mask_gen_kwargs: | |
| irregular_proba: 1 | |
| irregular_kwargs: | |
| max_angle: 4 | |
| max_len: 200 | |
| max_width: 100 | |
| max_times: 5 | |
| min_times: 1 | |
| box_proba: 1 | |
| box_kwargs: | |
| margin: 10 | |
| bbox_min_size: 30 | |
| bbox_max_size: 150 | |
| max_times: 4 | |
| min_times: 1 | |
| segm_proba: 0 | |
| transform_variant: no_augs | |
| dataloader_kwargs: | |
| batch_size: ${data.batch_size} | |
| shuffle: true | |
| num_workers: ${data.num_workers} | |
| val: | |
| indir: ${location.data_root_dir}/val_256 | |
| img_suffix: .png | |
| dataloader_kwargs: | |
| batch_size: ${data.val_batch_size} | |
| shuffle: false | |
| num_workers: ${data.num_workers} | |
| visual_test: null | |
| generator: | |
| kind: Swin_UNET | |
| discriminator: | |
| kind: pix2pixhd_nlayer | |
| input_nc: 3 | |
| ndf: 64 | |
| n_layers: 4 | |
| optimizers: | |
| generator: | |
| kind: adam | |
| lr: 0.001 | |
| discriminator: | |
| kind: adam | |
| lr: 0.0001 | |
| visualizer: | |
| kind: directory | |
| outdir: samples | |
| key_order: | |
| - image | |
| - predicted_image | |
| - discr_output_fake | |
| - discr_output_real | |
| - inpainted | |
| - eye | |
| - eye_pred | |
| - hair | |
| - hair_pred | |
| - skin | |
| - skin_pred | |
| rescale_keys: | |
| - discr_output_fake | |
| - discr_output_real | |
| evaluator: | |
| kind: default | |
| inpainted_key: inpainted | |
| integral_kind: ssim_fid100_f1 | |
| trainer: | |
| kwargs: | |
| gpus: 1 | |
| accelerator: dp | |
| max_epochs: 50 | |
| gradient_clip_val: 1 | |
| limit_train_batches: 25000 | |
| log_every_n_steps: 300 | |
| precision: 32 | |
| terminate_on_nan: false | |
| check_val_every_n_epoch: 5 | |
| num_sanity_val_steps: 0 | |
| replace_sampler_ddp: false | |
| checkpoint_kwargs: | |
| verbose: true | |
| save_top_k: 5 | |
| save_last: true | |
| monitor: val_ssim_fid100_f1_total_mean | |
| mode: max | |
| run_title: aaa | |
| training_model: | |
| kind: default | |
| visualize_each_iters: 100 | |
| concat_mask: true | |
| store_discr_outputs_for_vis: true | |
| losses: | |
| l1: | |
| weight_missing: 0 | |
| weight_known: 10 | |
| weight_known_skin: 3 | |
| weight_known_eye: 3 | |
| weight_known_ear: 3 | |
| weight_known_lip: 3 | |
| weight_known_cloth: 3 | |
| weight_known_hair: 3 | |
| perceptual: | |
| weight: 0 | |
| adversarial_component: | |
| weight_skin: 0.1 | |
| weight_eye: 0.15 | |
| weight_ear: 0.15 | |
| weight_lip: 0.15 | |
| weight_cloth: 0.1 | |
| weight_hair: 0.1 | |
| adversarial: | |
| kind: r1 | |
| weight: 10 | |
| gp_coef: 0.001 | |
| mask_as_fake_target: true | |
| allow_scale_mask: true | |
| feature_matching: | |
| weight: 100 | |
| weight_skin: 10 | |
| weight_eye: 15 | |
| weight_ear: 15 | |
| weight_lip: 15 | |
| weight_cloth: 10 | |
| weight_hair: 10 | |
| resnet_pl: | |
| weight: 30 | |
| weights_path: C:\Users\Green\Desktop\lama-main | |