metafile.yml
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Collections:
- Name: RepPoints
Metadata:
Training Data: COCO
Training Techniques:
- SGD with Momentum
- Weight Decay
Training Resources: 8x V100 GPUs
Architecture:
- Group Normalization
- FPN
- RepPoints
- ResNet
Paper:
URL: https://arxiv.org/abs/1904.11490
Title: 'RepPoints: Point Set Representation for Object Detection'
README: configs/reppoints/README.md
Code:
URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/mmdet/models/detectors/reppoints_detector.py#L9
Version: v2.0.0
Models:
- Name: bbox_r50_grid_fpn_gn-neck+head_1x_coco
In Collection: RepPoints
Config: configs/reppoints/bbox_r50_grid_fpn_gn-neck+head_1x_coco.py
Metadata:
Training Memory (GB): 3.9
inference time (ms/im):
- value: 62.89
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 36.4
Weights: https://download.openmmlab.com/mmdetection/v2.0/reppoints/bbox_r50_grid_fpn_gn-neck%2Bhead_1x_coco/bbox_r50_grid_fpn_gn-neck%2Bhead_1x_coco_20200329-c98bfa96.pth
- Name: bbox_r50_grid_center_fpn_gn-neck+Bhead_1x_coco
In Collection: RepPoints
Config: configs/reppoints/bbox_r50_grid_center_fpn_gn-neck+Bhead_1x_coco.py
Metadata:
Training Memory (GB): 3.9
inference time (ms/im):
- value: 64.94
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 37.4
Weights: https://download.openmmlab.com/mmdetection/v2.0/reppoints/bbox_r50_grid_center_fpn_gn-neck%2Bhead_1x_coco/bbox_r50_grid_center_fpn_gn-neck%2Bhead_1x_coco_20200330-00f73d58.pth
- Name: reppoints_moment_r50_fpn_1x_coco
In Collection: RepPoints
Config: configs/reppoints/reppoints_moment_r50_fpn_1x_coco.py
Metadata:
Training Memory (GB): 3.3
inference time (ms/im):
- value: 54.05
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 37.0
Weights: https://download.openmmlab.com/mmdetection/v2.0/reppoints/reppoints_moment_r50_fpn_1x_coco/reppoints_moment_r50_fpn_1x_coco_20200330-b73db8d1.pth
- Name: reppoints_moment_r50_fpn_gn-neck%2Bhead_1x_coco
In Collection: RepPoints
Config: configs/reppoints/reppoints_moment_r50_fpn_gn-neck%2Bhead_1x_coco.py
Metadata:
Training Memory (GB): 3.9
inference time (ms/im):
- value: 57.14
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 38.1
Weights: https://download.openmmlab.com/mmdetection/v2.0/reppoints/reppoints_moment_r50_fpn_gn-neck%2Bhead_1x_coco/reppoints_moment_r50_fpn_gn-neck%2Bhead_1x_coco_20200329-4b38409a.pth
- Name: reppoints_moment_r50_fpn_gn-neck+head_2x_coco
In Collection: RepPoints
Config: configs/reppoints/reppoints_moment_r50_fpn_gn-neck+head_2x_coco.py
Metadata:
Training Memory (GB): 3.9
inference time (ms/im):
- value: 57.14
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 24
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 38.6
Weights: https://download.openmmlab.com/mmdetection/v2.0/reppoints/reppoints_moment_r50_fpn_gn-neck%2Bhead_2x_coco/reppoints_moment_r50_fpn_gn-neck%2Bhead_2x_coco_20200329-91babaa2.pth
- Name: reppoints_moment_r101_fpn_gn-neck+head_2x_coco
In Collection: RepPoints
Config: configs/reppoints/reppoints_moment_r101_fpn_gn-neck+head_2x_coco.py
Metadata:
Training Memory (GB): 5.8
inference time (ms/im):
- value: 72.99
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 24
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 40.5
Weights: https://download.openmmlab.com/mmdetection/v2.0/reppoints/reppoints_moment_r101_fpn_gn-neck%2Bhead_2x_coco/reppoints_moment_r101_fpn_gn-neck%2Bhead_2x_coco_20200329-4fbc7310.pth
- Name: reppoints_moment_r101_fpn_dconv_c3-c5_gn-neck+head_2x_coco
In Collection: RepPoints
Config: configs/reppoints/reppoints_moment_r101_fpn_dconv_c3-c5_gn-neck+head_2x_coco.py
Metadata:
Training Memory (GB): 5.9
inference time (ms/im):
- value: 82.64
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 24
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 42.9
Weights: https://download.openmmlab.com/mmdetection/v2.0/reppoints/reppoints_moment_r101_fpn_dconv_c3-c5_gn-neck%2Bhead_2x_coco/reppoints_moment_r101_fpn_dconv_c3-c5_gn-neck%2Bhead_2x_coco_20200329-3309fbf2.pth
- Name: reppoints_moment_x101_fpn_dconv_c3-c5_gn-neck+head_2x_coco
In Collection: RepPoints
Config: configs/reppoints/reppoints_moment_x101_fpn_dconv_c3-c5_gn-neck+head_2x_coco.py
Metadata:
Training Memory (GB): 7.1
inference time (ms/im):
- value: 107.53
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 24
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 44.2
Weights: https://download.openmmlab.com/mmdetection/v2.0/reppoints/reppoints_moment_x101_fpn_dconv_c3-c5_gn-neck%2Bhead_2x_coco/reppoints_moment_x101_fpn_dconv_c3-c5_gn-neck%2Bhead_2x_coco_20200329-f87da1ea.pth