# TODO: Need to solve the problem of multiple backend_args parameters # _backend_args = dict( # backend='petrel', # path_mapping=dict({ # './data/': 's3://openmmlab/datasets/detection/', # 'data/': 's3://openmmlab/datasets/detection/' # })) _backend_args = None tta_model = dict( type='mmdet.DetTTAModel', tta_cfg=dict(nms=dict(type='nms', iou_threshold=0.65), max_per_img=300)) img_scales = [(640, 640), (320, 320), (960, 960)] # LoadImageFromFile # / | \ # Resize Resize Resize # noqa # / \ / \ / \ # RandomFlip RandomFlip RandomFlip RandomFlip RandomFlip RandomFlip # noqa # | | | | | | # LoadAnn LoadAnn LoadAnn LoadAnn LoadAnn LoadAnn # | | | | | | # PackDetIn PackDetIn PackDetIn PackDetIn PackDetIn PackDetIn # noqa tta_pipeline = [ dict(type='LoadImageFromFile', backend_args=_backend_args), dict( type='TestTimeAug', transforms=[ [ dict(type='mmdet.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='mmdet.RandomFlip', prob=1.), dict(type='mmdet.RandomFlip', prob=0.) ], [ dict( type='mmdet.Pad', pad_to_square=True, pad_val=dict(img=(114.0, 114.0, 114.0))), ], [ dict( type='mmdet.PackDetInputs', meta_keys=('img_id', 'img_path', 'ori_shape', 'img_shape', 'scale_factor', 'flip', 'flip_direction')) ] ]) ]