forked from open-mmlab/mmdetection
-
Notifications
You must be signed in to change notification settings - Fork 8
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
1 parent
44d1281
commit 6fad548
Showing
4 changed files
with
198 additions
and
45 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
14 changes: 14 additions & 0 deletions
14
configs/grounding_dino/refcoco/grounding_dino_swin-b_pretrain_zeroshot_refexp.py
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,14 @@ | ||
| _base_ = './grounding_dino_swin-t_pretrain_zeroshot_refexp.py' | ||
|
|
||
| model = dict( | ||
| type='GroundingDINO', | ||
| backbone=dict( | ||
| pretrain_img_size=384, | ||
| embed_dims=128, | ||
| depths=[2, 2, 18, 2], | ||
| num_heads=[4, 8, 16, 32], | ||
| window_size=12, | ||
| drop_path_rate=0.3, | ||
| patch_norm=True), | ||
| neck=dict(in_channels=[256, 512, 1024]), | ||
| ) |
42 changes: 0 additions & 42 deletions
42
configs/grounding_dino/refcoco/grounding_dino_swin-t_pretrain_zeroshot_refcoco.py
This file was deleted.
Oops, something went wrong.
155 changes: 155 additions & 0 deletions
155
configs/grounding_dino/refcoco/grounding_dino_swin-t_pretrain_zeroshot_refexp.py
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,155 @@ | ||
| _base_ = '../grounding_dino_swin-t_pretrain_obj365_goldg_cap4m.py' | ||
|
|
||
| model = dict(test_cfg=dict(max_per_img=15)) | ||
|
|
||
| data_root = 'data/coco/' | ||
|
|
||
| test_pipeline = [ | ||
| dict( | ||
| type='LoadImageFromFile', backend_args=None, | ||
| imdecode_backend='pillow'), | ||
| dict( | ||
| type='FixScaleResize', | ||
| scale=(800, 1333), | ||
| keep_ratio=True, | ||
| backend='pillow'), | ||
| dict(type='LoadAnnotations', with_bbox=True), | ||
| dict( | ||
| type='PackDetInputs', | ||
| meta_keys=('img_id', 'img_path', 'ori_shape', 'img_shape', | ||
| 'scale_factor', 'text', 'custom_entities', 'tokens_positive')) | ||
| ] | ||
|
|
||
| # -------------------------------------------------# | ||
| ann_file = 'mdetr_annotations/final_refexp_val.json' | ||
| val_dataset_all_val = dict( | ||
| type='MDETRStyleRefCocoDataset', | ||
| data_root=data_root, | ||
| ann_file=ann_file, | ||
| data_prefix=dict(img='train2014/'), | ||
| test_mode=True, | ||
| return_classes=True, | ||
| pipeline=test_pipeline, | ||
| backend_args=None) | ||
| val_evaluator_all_val = dict( | ||
| type='RefExpMetric', | ||
| ann_file=data_root + ann_file, | ||
| metric='bbox', | ||
| iou_thrs=0.5, | ||
| topk=(1, 5, 10)) | ||
|
|
||
| # -------------------------------------------------# | ||
| ann_file = 'mdetr_annotations/finetune_refcoco_testA.json' | ||
| val_dataset_refcoco_testA = dict( | ||
| type='MDETRStyleRefCocoDataset', | ||
| data_root=data_root, | ||
| ann_file=ann_file, | ||
| data_prefix=dict(img='train2014/'), | ||
| test_mode=True, | ||
| return_classes=True, | ||
| pipeline=test_pipeline, | ||
| backend_args=None) | ||
|
|
||
| val_evaluator_refcoco_testA = dict( | ||
| type='RefExpMetric', | ||
| ann_file=data_root + ann_file, | ||
| metric='bbox', | ||
| iou_thrs=0.5, | ||
| topk=(1, 5, 10)) | ||
|
|
||
| # -------------------------------------------------# | ||
| ann_file = 'mdetr_annotations/finetune_refcoco_testB.json' | ||
| val_dataset_refcoco_testB = dict( | ||
| type='MDETRStyleRefCocoDataset', | ||
| data_root=data_root, | ||
| ann_file=ann_file, | ||
| data_prefix=dict(img='train2014/'), | ||
| test_mode=True, | ||
| return_classes=True, | ||
| pipeline=test_pipeline, | ||
| backend_args=None) | ||
|
|
||
| val_evaluator_refcoco_testB = dict( | ||
| type='RefExpMetric', | ||
| ann_file=data_root + ann_file, | ||
| metric='bbox', | ||
| iou_thrs=0.5, | ||
| topk=(1, 5, 10)) | ||
|
|
||
| # -------------------------------------------------# | ||
| ann_file = 'mdetr_annotations/finetune_refcoco+_testA.json' | ||
| val_dataset_refcoco_plus_testA = dict( | ||
| type='MDETRStyleRefCocoDataset', | ||
| data_root=data_root, | ||
| ann_file=ann_file, | ||
| data_prefix=dict(img='train2014/'), | ||
| test_mode=True, | ||
| return_classes=True, | ||
| pipeline=test_pipeline, | ||
| backend_args=None) | ||
|
|
||
| val_evaluator_refcoco_plus_testA = dict( | ||
| type='RefExpMetric', | ||
| ann_file=data_root + ann_file, | ||
| metric='bbox', | ||
| iou_thrs=0.5, | ||
| topk=(1, 5, 10)) | ||
|
|
||
| # -------------------------------------------------# | ||
| ann_file = 'mdetr_annotations/finetune_refcoco+_testB.json' | ||
| val_dataset_refcoco_plus_testB = dict( | ||
| type='MDETRStyleRefCocoDataset', | ||
| data_root=data_root, | ||
| ann_file=ann_file, | ||
| data_prefix=dict(img='train2014/'), | ||
| test_mode=True, | ||
| return_classes=True, | ||
| pipeline=test_pipeline, | ||
| backend_args=None) | ||
|
|
||
| val_evaluator_refcoco_plus_testB = dict( | ||
| type='RefExpMetric', | ||
| ann_file=data_root + ann_file, | ||
| metric='bbox', | ||
| iou_thrs=0.5, | ||
| topk=(1, 5, 10)) | ||
|
|
||
| # -------------------------------------------------# | ||
| ann_file = 'mdetr_annotations/finetune_refcocog_test.json' | ||
| val_dataset_refcocog_test = dict( | ||
| type='MDETRStyleRefCocoDataset', | ||
| data_root=data_root, | ||
| ann_file=ann_file, | ||
| data_prefix=dict(img='train2014/'), | ||
| test_mode=True, | ||
| return_classes=True, | ||
| pipeline=test_pipeline, | ||
| backend_args=None) | ||
|
|
||
| val_evaluator_refcocog_test = dict( | ||
| type='RefExpMetric', | ||
| ann_file=data_root + ann_file, | ||
| metric='bbox', | ||
| iou_thrs=0.5, | ||
| topk=(1, 5, 10)) | ||
| # -------------------------------------------------# | ||
| datasets = [val_dataset_all_val, val_dataset_refcoco_testA, | ||
| val_dataset_refcoco_testB, val_dataset_refcoco_plus_testA, | ||
| val_dataset_refcoco_plus_testB, val_dataset_refcocog_test] | ||
| dataset_prefixes = [ | ||
| 'val', 'refcoco_testA', 'refcoco_testB', 'refcoco+_testA', 'refcoco+_testB', 'refcocog_test' | ||
| ] | ||
| metrics = [val_evaluator_all_val, val_evaluator_refcoco_testA, | ||
| val_evaluator_refcoco_testB, val_evaluator_refcoco_plus_testA, | ||
| val_evaluator_refcoco_plus_testB, val_evaluator_refcocog_test] | ||
|
|
||
| val_dataloader = dict( | ||
| dataset=dict(_delete_=True, type='ConcatDataset', datasets=datasets)) | ||
| test_dataloader = val_dataloader | ||
|
|
||
| val_evaluator = dict( | ||
| _delete_=True, | ||
| type='MultiDatasetsEvaluator', | ||
| metrics=metrics, | ||
| dataset_prefixes=dataset_prefixes) | ||
| test_evaluator = val_evaluator |