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# Copyright (c) OpenMMLab. All rights reserved.
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'))
]
])
]
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