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添加openmmlab测试用例  
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Collections:
  - Name: RetinaNet
    Metadata:
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x NVIDIA V100 GPUs
      Architecture:
        - Focal Loss
        - FPN
        - ResNet
    Paper: https://arxiv.org/abs/1708.02002
    README: configs/retinanet/README.md

Models:
  - Name: retinanet_r50_caffe_fpn_1x_coco
    In Collection: RetinaNet
    Config: configs/retinanet/retinanet_r50_caffe_fpn_1x_coco.py
    Metadata:
      Training Memory (GB): 3.5
      inference time (s/im): 0.05376
      Epochs: 12
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 36.3
    Weights: https://download.openmmlab.com/mmdetection/v2.0/retinanet/retinanet_r50_caffe_fpn_1x_coco/retinanet_r50_caffe_fpn_1x_coco_20200531-f11027c5.pth

  - Name: retinanet_r50_fpn_1x_coco
    In Collection: RetinaNet
    Config: configs/retinanet/retinanet_r50_fpn_1x_coco.py
    Metadata:
      Training Memory (GB): 3.8
      inference time (s/im): 0.05263
      Epochs: 12
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 36.5
    Weights: https://download.openmmlab.com/mmdetection/v2.0/retinanet/retinanet_r50_fpn_1x_coco/retinanet_r50_fpn_1x_coco_20200130-c2398f9e.pth

  - Name: retinanet_r50_fpn_2x_coco
    In Collection: RetinaNet
    Config: configs/retinanet/retinanet_r50_fpn_2x_coco.py
    Metadata:
      Epochs: 24
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 37.4
    Weights: https://download.openmmlab.com/mmdetection/v2.0/retinanet/retinanet_r50_fpn_2x_coco/retinanet_r50_fpn_2x_coco_20200131-fdb43119.pth

  - Name: retinanet_r101_caffe_fpn_1x_coco
    In Collection: RetinaNet
    Config: configs/retinanet/retinanet_r101_caffe_fpn_1x_coco.py
    Metadata:
      Training Memory (GB): 5.5
      inference time (s/im): 0.06803
      Epochs: 12
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 38.5
    Weights: https://download.openmmlab.com/mmdetection/v2.0/retinanet/retinanet_r101_caffe_fpn_1x_coco/retinanet_r101_caffe_fpn_1x_coco_20200531-b428fa0f.pth

  - Name: retinanet_r101_fpn_1x_coco
    In Collection: RetinaNet
    Config: configs/retinanet/retinanet_r101_fpn_1x_coco.py
    Metadata:
      Training Memory (GB): 5.7
      inference time (s/im): 0.06667
      Epochs: 12
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 38.5
    Weights: https://download.openmmlab.com/mmdetection/v2.0/retinanet/retinanet_r101_fpn_1x_coco/retinanet_r101_fpn_1x_coco_20200130-7a93545f.pth

  - Name: retinanet_r101_fpn_2x_coco
    In Collection: RetinaNet
    Config: configs/retinanet/retinanet_r101_fpn_2x_coco.py
    Metadata:
      Epochs: 24
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 38.9
    Weights: https://download.openmmlab.com/mmdetection/v2.0/retinanet/retinanet_r101_fpn_2x_coco/retinanet_r101_fpn_2x_coco_20200131-5560aee8.pth

  - Name: retinanet_x101_32x4d_fpn_1x_coco
    In Collection: RetinaNet
    Config: configs/retinanet/retinanet_x101_32x4d_fpn_1x_coco.py
    Metadata:
      Training Memory (GB): 7.0
      inference time (s/im): 0.08264
      Epochs: 12
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 39.9
    Weights: https://download.openmmlab.com/mmdetection/v2.0/retinanet/retinanet_x101_32x4d_fpn_1x_coco/retinanet_x101_32x4d_fpn_1x_coco_20200130-5c8b7ec4.pth

  - Name: retinanet_x101_32x4d_fpn_2x_coco
    In Collection: RetinaNet
    Config: configs/retinanet/retinanet_x101_32x4d_fpn_2x_coco.py
    Metadata:
      Epochs: 24
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 40.1
    Weights: https://download.openmmlab.com/mmdetection/v2.0/retinanet/retinanet_x101_32x4d_fpn_2x_coco/retinanet_x101_32x4d_fpn_2x_coco_20200131-237fc5e1.pth

  - Name: retinanet_x101_64x4d_fpn_1x_coco
    In Collection: RetinaNet
    Config: configs/retinanet/retinanet_x101_64x4d_fpn_1x_coco.py
    Metadata:
      Training Memory (GB): 10.0
      inference time (s/im): 0.11494
      Epochs: 12
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 41.0
    Weights: https://download.openmmlab.com/mmdetection/v2.0/retinanet/retinanet_x101_64x4d_fpn_1x_coco/retinanet_x101_64x4d_fpn_1x_coco_20200130-366f5af1.pth

  - Name: retinanet_x101_64x4d_fpn_2x_coco
    In Collection: RetinaNet
    Config: configs/retinanet/retinanet_x101_64x4d_fpn_2x_coco.py
    Metadata:
      Epochs: 24
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 40.8
    Weights: https://download.openmmlab.com/mmdetection/v2.0/retinanet/retinanet_x101_64x4d_fpn_2x_coco/retinanet_x101_64x4d_fpn_2x_coco_20200131-bca068ab.pth