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| dataset: | |
| name: mvtec | |
| format: mvtec | |
| path: ./datasets/MVTec | |
| category: leather | |
| task: segmentation | |
| train_batch_size: 4 | |
| eval_batch_size: 4 | |
| inference_batch_size: 4 | |
| num_workers: 8 | |
| image_size: | |
| - 224 | |
| - 224 | |
| center_crop: null | |
| normalization: imagenet | |
| transform_config: | |
| train: null | |
| eval: null | |
| test_split_mode: from_dir | |
| test_split_ratio: 0.2 | |
| val_split_mode: same_as_test | |
| val_split_ratio: 0.5 | |
| model: | |
| name: cfa | |
| backbone: wide_resnet50_2 | |
| gamma_c: 1 | |
| gamma_d: 1 | |
| num_nearest_neighbors: 3 | |
| num_hard_negative_features: 3 | |
| radius: 1.0e-05 | |
| lr: 0.001 | |
| weight_decay: 0.0005 | |
| amsgrad: true | |
| early_stopping: | |
| patience: 5 | |
| metric: pixel_AUROC | |
| mode: max | |
| normalization_method: min_max | |
| input_size: | |
| - 224 | |
| - 224 | |
| metrics: | |
| image: | |
| - AUROC | |
| pixel: | |
| - AUROC | |
| threshold: | |
| adaptive: true | |
| image_default: null | |
| pixel_default: null | |
| method: adaptive | |
| manual_image: null | |
| manual_pixel: null | |
| visualization: | |
| show_images: false | |
| save_images: true | |
| log_images: true | |
| image_save_path: null | |
| mode: full | |
| project: | |
| seed: 0 | |
| path: results/cfa/mvtec/leather/run | |
| unique_dir: false | |
| logging: | |
| logger: [] | |
| log_graph: false | |
| optimization: | |
| export_mode: null | |
| trainer: | |
| enable_checkpointing: true | |
| default_root_dir: results/cfa/mvtec/leather/run | |
| gradient_clip_val: 0 | |
| gradient_clip_algorithm: norm | |
| num_nodes: 1 | |
| devices: 1 | |
| enable_progress_bar: true | |
| overfit_batches: 0.0 | |
| track_grad_norm: -1 | |
| check_val_every_n_epoch: 1 | |
| fast_dev_run: false | |
| accumulate_grad_batches: 1 | |
| max_epochs: 30 | |
| min_epochs: null | |
| max_steps: -1 | |
| min_steps: null | |
| max_time: null | |
| limit_train_batches: 1.0 | |
| limit_val_batches: 1.0 | |
| limit_test_batches: 1.0 | |
| limit_predict_batches: 1.0 | |
| val_check_interval: 1.0 | |
| log_every_n_steps: 50 | |
| accelerator: auto | |
| strategy: null | |
| sync_batchnorm: false | |
| precision: 32 | |
| enable_model_summary: true | |
| num_sanity_val_steps: 0 | |
| profiler: null | |
| benchmark: false | |
| deterministic: false | |
| reload_dataloaders_every_n_epochs: 0 | |
| auto_lr_find: false | |
| replace_sampler_ddp: true | |
| detect_anomaly: false | |
| auto_scale_batch_size: false | |
| plugins: null | |
| move_metrics_to_cpu: false | |
| multiple_trainloader_mode: max_size_cycle | |