OpenMMLab Detection Toolbox and Benchmark
https://mmdetection.readthedocs.io/
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181 lines
6.2 KiB
181 lines
6.2 KiB
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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