| import: |
| - 'experiments/seg_detector/base_td500.yaml' |
| package: [] |
| define: |
| - name: 'Experiment' |
| class: Experiment |
| structure: |
| class: Structure |
| builder: |
| class: Builder |
| model: SegDetectorModel |
| model_args: |
| backbone: deformable_resnet50 |
| decoder: SegSpatialScaleDetector |
| decoder_args: |
| adaptive: True |
| in_channels: [256, 512, 1024, 2048] |
| k: 50 |
| attention_type: 'scale_channel_spatial' |
| loss_class: L1BalanceCELoss |
| representer: |
| class: SegDetectorRepresenter |
| max_candidates: 1000 |
| measurer: |
| class: QuadMeasurer |
| visualizer: |
| class: SegDetectorVisualizer |
| train: |
| class: TrainSettings |
| data_loader: |
| class: DataLoader |
| dataset: ^train_data |
| batch_size: 16 |
| num_workers: 8 |
| checkpoint: |
| class: Checkpoint |
| start_epoch: 0 |
| start_iter: 0 |
| resume: null |
| model_saver: |
| class: ModelSaver |
| dir_path: model |
| save_interval: 2000 |
| signal_path: save |
| scheduler: |
| class: OptimizerScheduler |
| optimizer: "SGD" |
| optimizer_args: |
| lr: 0.007 |
| momentum: 0.9 |
| weight_decay: 0.0001 |
| learning_rate: |
| class: DecayLearningRate |
| epochs: 1000 |
| epochs: 1000 |
|
|
| validation: &validate |
| class: ValidationSettings |
| data_loaders: |
| icdar2015: |
| class: DataLoader |
| dataset: ^validate_data |
| batch_size: 1 |
| num_workers: 0 |
| collect_fn: |
| class: ICDARCollectFN |
| visualize: false |
| interval: 4500 |
| exempt: 1 |
|
|
| logger: |
| class: Logger |
| verbose: true |
| level: info |
| log_interval: 450 |
|
|
| evaluation: *validate |
