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ModelZoo
SOLOv2-pytorch
Commits
46b789d1
Commit
46b789d1
authored
May 21, 2019
by
Cao Yuhang
Committed by
Kai Chen
May 21, 2019
Browse files
update model url and ms training in README.md (#677)
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b5a952c5
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configs/fcos/README.md
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configs/fcos/README.md
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46b789d1
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@@ -13,13 +13,13 @@
## Results and Models
| Backbone | Style | Lr schd | Mem (GB) | Train time (s/iter) | Inf time (fps) | box AP | Download |
|:---------:|:-------:|:-------:|:--------:|:-------------------:|:--------------:|:------:|:--------:|
| R-50-FPN | caffe | 1x | 6.9 | 0.396 | 13.6 | 36.7 |
[
model
](
https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/fcos/fcos_r50_
fpn_1x
-9f253a93.pth
)
|
| R-50-FPN | caffe | 2x | - | - | - | 38.7 |
[
model
](
https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/fcos/fcos_
r50_fpn_2x
-f7329d80.pth
)
|
| R-101-FPN | caffe | 1x | 10.4 | 0.558 | 11.6 | 39.1 |
[
model
](
https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/fcos/fcos_r101_
fpn_1x
-e4889733.pth
)
|
| R-101-FPN | caffe | 2x | - | - | - | 40.8 |
[
model
](
https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/fcos/fcos_
r101_fpn_2x
-42e6f62d.pth
)
|
| X-101-64x4d-FPN | caffe |2x | 9.7 | 0.892 | 7.0 | 42.8 |
[
model
](
https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/fcos/fcos_x101_64x4d_fpn_
2x
-a36c0872.pth
)
|
| Backbone | Style |
Multi-scale training |
Lr schd | Mem (GB) | Train time (s/iter) | Inf time (fps) | box AP | Download |
|:---------:|:-------:|:-------:|:-------
:|:-------
-:|:-------------------:|:--------------:|:------:|:--------:|
| R-50-FPN | caffe |
N |
1x | 6.9 | 0.396 | 13.6 | 36.7 |
[
model
](
https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/fcos/fcos_r50_
caffe_fpn_gn_1x_4gpu_20190516
-9f253a93.pth
)
|
| R-50-FPN | caffe |
Y |
2x | - | - | - | 38.7 |
[
model
](
https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/fcos/fcos_
mstrain_640_800_r50_caffe_fpn_gn_2x_4gpu_20190516
-f7329d80.pth
)
|
| R-101-FPN | caffe |
N |
1x | 10.4 | 0.558 | 11.6 | 39.1 |
[
model
](
https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/fcos/fcos_r101_
caffe_fpn_gn_1x_4gpu_20190516
-e4889733.pth
)
|
| R-101-FPN | caffe |
Y |
2x | - | - | - | 40.8 |
[
model
](
https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/fcos/fcos_
mstrain_640_800_r101_caffe_fpn_gn_2x_4gpu_20190516
-42e6f62d.pth
)
|
| X-101-64x4d-FPN | caffe
| Y
|2x
| 9.7 | 0.892 | 7.0 | 42.8 |
[
model
](
https://s3.ap-northeast-2.amazonaws.com/open-mmlab/mmdetection/models/fcos/fcos_
mstrain_640_800_
x101_64x4d_fpn_
gn_2x_20190516
-a36c0872.pth
)
|
**Notes:**
-
To be consistent with the author's implementation, we use 4 GPUs with 4 images/GPU for R-50 and R-101 models, and 8 GPUs with 2 image/GPU for X-101 models.
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