| model: | |
| input_length: 9 | |
| total_length: 29 | |
| img_height: 512 | |
| img_width: 512 | |
| img_ch: 2 | |
| ngf: 32 | |
| device: auto | |
| pretrained_model: "" | |
| checkpoint_dir: "./data/checkpoint" | |
| checkpoint_prefix: "model_bak" | |
| data: | |
| data_dir: "./data/data" | |
| split: train | |
| image_height: 512 | |
| image_width: 512 | |
| total_length: 29 | |
| input_data_type: float32 | |
| scale_divisor: 10.0 | |
| offset: 3.0 | |
| clip_max: 128.0 | |
| batch_size: 1 | |
| num_workers: 0 | |
| training: | |
| epochs: 10 | |
| lr: 0.0003 | |
| weight_decay: 0.0 | |
| seed: 42 | |
| mode: generator | |
| output_dir: "./results/training" | |
| loss_history_file: "loss_history.json" | |
| inference: | |
| output_dir: "./results/inference" | |
| num_samples: 1 | |
| threshold: 16.0 | |
| visualization: | |
| output_dir: "./results/visualization" | |