OpenMMLab Detection Toolbox and Benchmark
https://mmdetection.readthedocs.io/
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34 lines
1.1 KiB
34 lines
1.1 KiB
from ..builder import DETECTORS |
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from .two_stage import TwoStageDetector |
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@DETECTORS.register_module() |
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class CascadeRCNN(TwoStageDetector): |
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def __init__(self, |
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backbone, |
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neck=None, |
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rpn_head=None, |
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roi_head=None, |
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train_cfg=None, |
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test_cfg=None, |
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pretrained=None): |
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super(CascadeRCNN, self).__init__( |
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backbone=backbone, |
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neck=neck, |
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rpn_head=rpn_head, |
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roi_head=roi_head, |
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train_cfg=train_cfg, |
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test_cfg=test_cfg, |
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pretrained=pretrained) |
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def show_result(self, data, result, **kwargs): |
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if self.with_mask: |
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ms_bbox_result, ms_segm_result = result |
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if isinstance(ms_bbox_result, dict): |
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result = (ms_bbox_result['ensemble'], |
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ms_segm_result['ensemble']) |
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else: |
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if isinstance(result, dict): |
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result = result['ensemble'] |
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return super(CascadeRCNN, self).show_result(data, result, **kwargs)
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