mirror of https://github.com/open-mmlab/mmyolo.git
59 lines
2.1 KiB
Python
59 lines
2.1 KiB
Python
# TODO: Need to solve the problem of multiple backend_args parameters
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# _backend_args = dict(
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# backend='petrel',
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# path_mapping=dict({
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# './data/': 's3://openmmlab/datasets/detection/',
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# 'data/': 's3://openmmlab/datasets/detection/'
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# }))
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_backend_args = None
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tta_model = dict(
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type='mmdet.DetTTAModel',
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tta_cfg=dict(nms=dict(type='nms', iou_threshold=0.65), max_per_img=300))
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img_scales = [(640, 640), (320, 320), (960, 960)]
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# LoadImageFromFile
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# / | \
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# (RatioResize,LetterResize) (RatioResize,LetterResize) (RatioResize,LetterResize) # noqa
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# / \ / \ / \
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# RandomFlip RandomFlip RandomFlip RandomFlip RandomFlip RandomFlip # noqa
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# | | | | | |
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# LoadAnn LoadAnn LoadAnn LoadAnn LoadAnn LoadAnn
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# | | | | | |
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# PackDetIn PackDetIn PackDetIn PackDetIn PackDetIn PackDetIn # noqa
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_multiscale_resize_transforms = [
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dict(
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type='Compose',
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transforms=[
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dict(type='YOLOv5KeepRatioResize', scale=s),
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dict(
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type='LetterResize',
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scale=s,
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allow_scale_up=False,
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pad_val=dict(img=114))
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]) for s in img_scales
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]
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tta_pipeline = [
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dict(type='LoadImageFromFile', backend_args=_backend_args),
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dict(
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type='TestTimeAug',
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transforms=[
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_multiscale_resize_transforms,
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[
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dict(type='mmdet.RandomFlip', prob=1.),
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dict(type='mmdet.RandomFlip', prob=0.)
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], [dict(type='mmdet.LoadAnnotations', with_bbox=True)],
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[
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dict(
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type='mmdet.PackDetInputs',
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meta_keys=('img_id', 'img_path', 'ori_shape', 'img_shape',
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'scale_factor', 'pad_param', 'flip',
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'flip_direction'))
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]
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])
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]
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