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