| # This is different from the TTA of official CenterNet. | |
| tta_model = dict( | |
| type='DetTTAModel', | |
| tta_cfg=dict(nms=dict(type='nms', iou_threshold=0.5), max_per_img=100)) | |
| tta_pipeline = [ | |
| dict(type='LoadImageFromFile', to_float32=True, backend_args=None), | |
| dict( | |
| type='TestTimeAug', | |
| transforms=[ | |
| [ | |
| # ``RandomFlip`` must be placed before ``RandomCenterCropPad``, | |
| # otherwise bounding box coordinates after flipping cannot be | |
| # recovered correctly. | |
| dict(type='RandomFlip', prob=1.), | |
| dict(type='RandomFlip', prob=0.) | |
| ], | |
| [ | |
| dict( | |
| type='RandomCenterCropPad', | |
| ratios=None, | |
| border=None, | |
| mean=[0, 0, 0], | |
| std=[1, 1, 1], | |
| to_rgb=True, | |
| test_mode=True, | |
| test_pad_mode=['logical_or', 31], | |
| test_pad_add_pix=1), | |
| ], | |
| [dict(type='LoadAnnotations', with_bbox=True)], | |
| [ | |
| dict( | |
| type='PackDetInputs', | |
| meta_keys=('img_id', 'img_path', 'ori_shape', 'img_shape', | |
| 'flip', 'flip_direction', 'border')) | |
| ] | |
| ]) | |
| ] | |