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3 years ago | |
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| README.md | 3 years ago | |
| faster_rcnn_R_50_FPN_noaug_1x.yaml | 3 years ago | |
| keypoint_rcnn_R_50_FPN_1x.yaml | 3 years ago | |
| mask_rcnn_R_50_FPN_noaug_1x.yaml | 3 years ago | |
Detectron2's default settings and a few implementation details are different from Detectron.
The differences in implementation details are shared in
Compatibility with Other Libraries.
The differences in default config includes:
POOLER_SAMPLING_RATIO=0 instead of 2.ROIAlignV2.In this directory, we provide a few configs that mimic Detectron's behavior as close as possible.
This provides a fair comparison of accuracy and speed against Detectron.
| Name | lr sched |
train time (s/iter) |
inference time (s/im) |
train mem (GB) |
box AP |
mask AP |
kp. AP |
model id | download |
|---|---|---|---|---|---|---|---|---|---|
| Faster R-CNN | 1x | 0.219 | 0.048 | 3.1 | 36.9 | 137781054 | model | metrics | ||
| Keypoint R-CNN | 1x | 0.313 | 0.082 | 5.0 | 53.1 | 64.2 | 137781195 | model | metrics | |
| Mask R-CNN | 1x | 0.273 | 0.052 | 3.4 | 37.8 | 34.9 | 137781281 | model | metrics |
For speed comparison, see benchmarks.
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