Skip to content

GitLab

Switch branch/tag
Find file Normal viewHistoryPermalink
metafile.yml 4.37 KB
Newer Older
unknown's avatar
添加openmmlab测试用例  
unknown committed
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136 
Collections:
  - Name: Mask Scoring R-CNN
    Metadata:
      Training Data: COCO
      Training Techniques:
        - SGD with Momentum
        - Weight Decay
      Training Resources: 8x NVIDIA V100 GPUs
      Architecture:
        - RPN
        - FPN
        - ResNet
        - RoIAlign
    Paper: https://arxiv.org/abs/1903.00241
    README: configs/ms_rcnn/README.md

Models:
  - Name: ms_rcnn_r50_caffe_fpn_1x_coco
    In Collection: Mask Scoring R-CNN
    Config: configs/ms_rcnn/ms_rcnn_r50_caffe_fpn_1x_coco.py
    Metadata:
      Training Memory (GB): 4.5
      Epochs: 12
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 38.2
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 36.0
    Weights: https://download.openmmlab.com/mmdetection/v2.0/ms_rcnn/ms_rcnn_r50_caffe_fpn_1x_coco/ms_rcnn_r50_caffe_fpn_1x_coco_20200702_180848-61c9355e.pth

  - Name: ms_rcnn_r50_caffe_fpn_2x_coco
    In Collection: Mask Scoring R-CNN
    Config: configs/ms_rcnn/ms_rcnn_r50_caffe_fpn_2x_coco.py
    Metadata:
      Epochs: 24
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 38.8
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 36.3
    Weights: https://download.openmmlab.com/mmdetection/v2.0/ms_rcnn/ms_rcnn_r50_caffe_fpn_2x_coco/ms_rcnn_r50_caffe_fpn_2x_coco_bbox_mAP-0.388__segm_mAP-0.363_20200506_004738-ee87b137.pth

  - Name: ms_rcnn_r101_caffe_fpn_1x_coco
    In Collection: Mask Scoring R-CNN
    Config: configs/ms_rcnn/ms_rcnn_r101_caffe_fpn_1x_coco.py
    Metadata:
      Training Memory (GB): 6.5
      Epochs: 12
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 40.4
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 37.6
    Weights: https://download.openmmlab.com/mmdetection/v2.0/ms_rcnn/ms_rcnn_r101_caffe_fpn_1x_coco/ms_rcnn_r101_caffe_fpn_1x_coco_bbox_mAP-0.404__segm_mAP-0.376_20200506_004755-b9b12a37.pth

  - Name: ms_rcnn_r101_caffe_fpn_2x_coco
    In Collection: Mask Scoring R-CNN
    Config: configs/ms_rcnn/ms_rcnn_r101_caffe_fpn_2x_coco.py
    Metadata:
      Epochs: 24
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 41.1
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 38.1
    Weights: https://download.openmmlab.com/mmdetection/v2.0/ms_rcnn/ms_rcnn_r101_caffe_fpn_2x_coco/ms_rcnn_r101_caffe_fpn_2x_coco_bbox_mAP-0.411__segm_mAP-0.381_20200506_011134-5f3cc74f.pth

  - Name: ms_rcnn_x101_32x4d_fpn_1x_coco
    In Collection: Mask Scoring R-CNN
    Config: configs/ms_rcnn/ms_rcnn_x101_32x4d_fpn_1x_coco.py
    Metadata:
      Training Memory (GB): 7.9
      inference time (s/im): 0.09091
      Epochs: 12
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 41.8
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 38.7
    Weights: https://download.openmmlab.com/mmdetection/v2.0/ms_rcnn/ms_rcnn_x101_32x4d_fpn_1x_coco/ms_rcnn_x101_32x4d_fpn_1x_coco_20200206-81fd1740.pth

  - Name: ms_rcnn_x101_64x4d_fpn_1x_coco
    In Collection: Mask Scoring R-CNN
    Config: configs/ms_rcnn/ms_rcnn_x101_64x4d_fpn_1x_coco.py
    Metadata:
      Training Memory (GB): 11.0
      inference time (s/im): 0.125
      Epochs: 12
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 43.0
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 39.5
    Weights: https://download.openmmlab.com/mmdetection/v2.0/ms_rcnn/ms_rcnn_x101_64x4d_fpn_1x_coco/ms_rcnn_x101_64x4d_fpn_1x_coco_20200206-86ba88d2.pth

  - Name: ms_rcnn_x101_64x4d_fpn_2x_coco
    In Collection: Mask Scoring R-CNN
    Config: configs/ms_rcnn/ms_rcnn_x101_64x4d_fpn_2x_coco.py
    Metadata:
      Training Memory (GB): 11.0
      inference time (s/im): 0.125
      Epochs: 24
    Results:
      - Task: Object Detection
        Dataset: COCO
        Metrics:
          box AP: 42.6
      - Task: Instance Segmentation
        Dataset: COCO
        Metrics:
          mask AP: 39.5
    Weights: https://download.openmmlab.com/mmdetection/v2.0/ms_rcnn/ms_rcnn_x101_64x4d_fpn_2x_coco/ms_rcnn_x101_64x4d_fpn_2x_coco_20200308-02a445e2.pth