| |
| dataset_type = 'RefCocoDataset' |
| data_root = 'data/coco/' |
|
|
| backend_args = None |
|
|
| test_pipeline = [ |
| dict(type='LoadImageFromFile', backend_args=backend_args), |
| dict(type='Resize', scale=(1333, 800), keep_ratio=True), |
| dict( |
| type='LoadAnnotations', |
| with_mask=True, |
| with_bbox=False, |
| with_seg=False, |
| with_label=False), |
| dict( |
| type='PackDetInputs', |
| meta_keys=('img_id', 'img_path', 'ori_shape', 'img_shape', |
| 'scale_factor', 'gt_masks', 'text')) |
| ] |
|
|
| val_dataloader = dict( |
| batch_size=1, |
| num_workers=2, |
| persistent_workers=True, |
| drop_last=False, |
| sampler=dict(type='DefaultSampler', shuffle=False), |
| dataset=dict( |
| type=dataset_type, |
| data_root=data_root, |
| data_prefix=dict(img_path='train2014/'), |
| ann_file='refcoco/instances.json', |
| split_file='refcoco/refs(unc).p', |
| split='val', |
| text_mode='select_first', |
| pipeline=test_pipeline)) |
|
|
| test_dataloader = dict( |
| batch_size=1, |
| num_workers=2, |
| persistent_workers=True, |
| drop_last=False, |
| sampler=dict(type='DefaultSampler', shuffle=False), |
| dataset=dict( |
| type=dataset_type, |
| data_root=data_root, |
| data_prefix=dict(img_path='train2014/'), |
| ann_file='refcoco/instances.json', |
| split_file='refcoco/refs(unc).p', |
| split='testA', |
| text_mode='select_first', |
| pipeline=test_pipeline)) |
|
|
| val_evaluator = dict(type='RefSegMetric', metric=['cIoU', 'mIoU']) |
| test_evaluator = val_evaluator |
|
|
