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添加openmmlab测试用例  
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Collections:
  - Name: Group Normalization
    Metadata:
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x NVIDIA V100 GPUs
      Architecture:
        - Group Normalization
    Paper: https://arxiv.org/abs/1803.08494
    README: configs/gn/README.md

Models:
  - Name: mask_rcnn_r50_fpn_gn-all_2x_coco
    In Collection: Group Normalization
    Config: configs/gn/mask_rcnn_r50_fpn_gn-all_2x_coco.py
    Metadata:
      Training Memory (GB): 7.1
      inference time (s/im): 0.09091
      Epochs: 24
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 40.2
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP:  36.4
    Weights: https://download.openmmlab.com/mmdetection/v2.0/gn/mask_rcnn_r50_fpn_gn-all_2x_coco/mask_rcnn_r50_fpn_gn-all_2x_coco_20200206-8eee02a6.pth

  - Name: mask_rcnn_r50_fpn_gn-all_3x_coco
    In Collection: Group Normalization
    Config: configs/gn/mask_rcnn_r50_fpn_gn-all_3x_coco.py
    Metadata:
      Training Memory (GB): 7.1
      Epochs: 36
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 40.5
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP:  36.7
    Weights: https://download.openmmlab.com/mmdetection/v2.0/gn/mask_rcnn_r50_fpn_gn-all_3x_coco/mask_rcnn_r50_fpn_gn-all_3x_coco_20200214-8b23b1e5.pth

  - Name: mask_rcnn_r101_fpn_gn-all_2x_coco
    In Collection: Group Normalization
    Config: configs/gn/mask_rcnn_r101_fpn_gn-all_2x_coco.py
    Metadata:
      Training Memory (GB): 9.9
      inference time (s/im): 0.11111
      Epochs: 24
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 41.9
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP:  37.6
    Weights: https://download.openmmlab.com/mmdetection/v2.0/gn/mask_rcnn_r101_fpn_gn-all_2x_coco/mask_rcnn_r101_fpn_gn-all_2x_coco_20200205-d96b1b50.pth

  - Name: mask_rcnn_r101_fpn_gn-all_3x_coco
    In Collection: Group Normalization
    Config: configs/gn/mask_rcnn_r101_fpn_gn-all_3x_coco.py
    Metadata:
      Training Memory (GB): 9.9
      Epochs: 36
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 42.1
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP:  38.0
    Weights: https://download.openmmlab.com/mmdetection/v2.0/gn/mask_rcnn_r101_fpn_gn-all_3x_coco/mask_rcnn_r101_fpn_gn-all_3x_coco_20200513_181609-0df864f4.pth

  - Name: mask_rcnn_r50_fpn_gn-all_contrib_2x_coco
    In Collection: Group Normalization
    Config: configs/gn/mask_rcnn_r50_fpn_gn-all_contrib_2x_coco.py
    Metadata:
      Training Memory (GB): 7.1
      inference time (s/im): 0.09174
      Epochs: 24
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 40.0
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP:  36.1
    Weights: https://download.openmmlab.com/mmdetection/v2.0/gn/mask_rcnn_r50_fpn_gn-all_contrib_2x_coco/mask_rcnn_r50_fpn_gn-all_contrib_2x_coco_20200207-20d3e849.pth

  - Name: mask_rcnn_r50_fpn_gn-all_contrib_3x_coco
    In Collection: Group Normalization
    Config: configs/gn/mask_rcnn_r50_fpn_gn-all_contrib_3x_coco.py
    Metadata:
      Training Memory (GB): 7.1
      Epochs: 36
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 40.1
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP:  36.2
    Weights: https://download.openmmlab.com/mmdetection/v2.0/gn/mask_rcnn_r50_fpn_gn-all_contrib_3x_coco/mask_rcnn_r50_fpn_gn-all_contrib_3x_coco_20200225-542aefbc.pth