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Runtime error
| _base_ = ['../../_base_/default_runtime.py'] | |
| model = dict( | |
| type='SDMGR', | |
| backbone=dict(type='UNet', base_channels=16), | |
| bbox_head=dict( | |
| type='SDMGRHead', visual_dim=16, num_chars=92, num_classes=4), | |
| visual_modality=False, | |
| train_cfg=None, | |
| test_cfg=None, | |
| class_list=None, | |
| openset=True) | |
| optimizer = dict(type='Adam', weight_decay=0.0001) | |
| optimizer_config = dict(grad_clip=None) | |
| lr_config = dict( | |
| policy='step', | |
| warmup='linear', | |
| warmup_iters=1, | |
| warmup_ratio=1, | |
| step=[40, 50]) | |
| total_epochs = 60 | |
| train_pipeline = [ | |
| dict(type='LoadAnnotations'), | |
| dict(type='ResizeNoImg', img_scale=(1024, 512), keep_ratio=True), | |
| dict(type='KIEFormatBundle'), | |
| dict( | |
| type='Collect', | |
| keys=['img', 'relations', 'texts', 'gt_bboxes', 'gt_labels'], | |
| meta_keys=('filename', 'ori_filename', 'ori_texts')) | |
| ] | |
| test_pipeline = [ | |
| dict(type='LoadAnnotations'), | |
| dict(type='ResizeNoImg', img_scale=(1024, 512), keep_ratio=True), | |
| dict(type='KIEFormatBundle'), | |
| dict( | |
| type='Collect', | |
| keys=['img', 'relations', 'texts', 'gt_bboxes'], | |
| meta_keys=('filename', 'ori_filename', 'ori_texts', 'ori_boxes', | |
| 'img_norm_cfg', 'ori_filename', 'img_shape')) | |
| ] | |
| dataset_type = 'OpensetKIEDataset' | |
| data_root = 'data/wildreceipt' | |
| loader = dict( | |
| type='HardDiskLoader', | |
| repeat=1, | |
| parser=dict( | |
| type='LineJsonParser', | |
| keys=['file_name', 'height', 'width', 'annotations'])) | |
| train = dict( | |
| type=dataset_type, | |
| ann_file=f'{data_root}/openset_train.txt', | |
| pipeline=train_pipeline, | |
| img_prefix=data_root, | |
| link_type='one-to-many', | |
| loader=loader, | |
| dict_file=f'{data_root}/dict.txt', | |
| test_mode=False) | |
| test = dict( | |
| type=dataset_type, | |
| ann_file=f'{data_root}/openset_test.txt', | |
| pipeline=test_pipeline, | |
| img_prefix=data_root, | |
| link_type='one-to-many', | |
| loader=loader, | |
| dict_file=f'{data_root}/dict.txt', | |
| test_mode=True) | |
| data = dict( | |
| samples_per_gpu=4, | |
| workers_per_gpu=1, | |
| val_dataloader=dict(samples_per_gpu=1), | |
| test_dataloader=dict(samples_per_gpu=1), | |
| train=train, | |
| val=test, | |
| test=test) | |
| evaluation = dict(interval=1, metric='openset_f1', metric_options=None) | |
| find_unused_parameters = True | |