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| # Copyright (c) Meta Platforms, Inc. and affiliates. | |
| # All rights reserved. | |
| # | |
| # This source code is licensed under the license found in the | |
| # LICENSE file in the root directory of this source tree. | |
| from mmcv.transforms.loading import LoadImageFromFile | |
| from mmcv.transforms.processing import TestTimeAug | |
| from mmdet.datasets.transforms.formatting import PackDetInputs | |
| from mmdet.datasets.transforms.loading import LoadAnnotations | |
| from mmdet.datasets.transforms.transforms import Pad, RandomFlip, Resize | |
| from mmdet.models.test_time_augs.det_tta import DetTTAModel | |
| tta_model = dict( | |
| type=DetTTAModel, | |
| tta_cfg=dict(nms=dict(type='nms', iou_threshold=0.6), max_per_img=100)) | |
| img_scales = [(640, 640), (320, 320), (960, 960)] | |
| tta_pipeline = [ | |
| dict(type=LoadImageFromFile, backend_args=None), | |
| dict( | |
| type=TestTimeAug, | |
| transforms=[ | |
| [dict(type=Resize, scale=s, keep_ratio=True) for s in img_scales], | |
| [ | |
| # ``RandomFlip`` must be placed before ``Pad``, otherwise | |
| # bounding box coordinates after flipping cannot be | |
| # recovered correctly. | |
| dict(type=RandomFlip, prob=1.), | |
| dict(type=RandomFlip, prob=0.) | |
| ], | |
| [ | |
| dict( | |
| type=Pad, | |
| size=(960, 960), | |
| pad_val=dict(img=(114, 114, 114))), | |
| ], | |
| [dict(type=LoadAnnotations, with_bbox=True)], | |
| [ | |
| dict( | |
| type=PackDetInputs, | |
| meta_keys=('img_id', 'img_path', 'ori_shape', 'img_shape', | |
| 'scale_factor', 'flip', 'flip_direction')) | |
| ] | |
| ]) | |
| ] | |