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| # @package _group_ | |
| batch_size: 10 | |
| val_batch_size: 3 | |
| num_workers: 3 | |
| train: | |
| indir: ${location.data_root_dir}/train_256 | |
| out_size: 256 | |
| mask_gen_kwargs: # probabilities do not need to sum to 1, they are re-normalized in mask generator | |
| 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 | |