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体验新版 GitCode,发现更多精彩内容 >>
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8e80df59
编写于
8月 03, 2021
作者:
S
shangliang Xu
提交者:
GitHub
8月 03, 2021
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[doc fix] fix detr docs, test=document_fix (#3873)
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configs/deformable_detr/README.md
configs/deformable_detr/README.md
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configs/detr/README.md
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configs/deformable_detr/README.md
浏览文件 @
8e80df59
...
@@ -17,6 +17,12 @@ Deformable DETR is an object detection model based on DETR. We reproduced the mo
...
@@ -17,6 +17,12 @@ Deformable DETR is an object detection model based on DETR. We reproduced the mo
-
Deformable DETR is trained on COCO train2017 dataset and evaluated on val2017 results of
`mAP(IoU=0.5:0.95)`
.
-
Deformable DETR is trained on COCO train2017 dataset and evaluated on val2017 results of
`mAP(IoU=0.5:0.95)`
.
-
Deformable DETR uses 8GPU to train 50 epochs.
-
Deformable DETR uses 8GPU to train 50 epochs.
GPU multi-card training
```
bash
export
CUDA_VISIBLE_DEVICES
=
0,1,2,3,4,5,6,7
python
-m
paddle.distributed.launch
--gpus
0,1,2,3,4,5,6,7 tools/train.py
-c
configs/deformable_detr/deformable_detr_r50_1x_coco.yml
--fleet
-o
find_unused_parameters
=
True
```
## Citations
## Citations
```
```
@inproceedings{
@inproceedings{
...
...
configs/detr/README.md
浏览文件 @
8e80df59
...
@@ -17,6 +17,12 @@ DETR is an object detection model based on transformer. We reproduced the model
...
@@ -17,6 +17,12 @@ DETR is an object detection model based on transformer. We reproduced the model
-
DETR is trained on COCO train2017 dataset and evaluated on val2017 results of
`mAP(IoU=0.5:0.95)`
.
-
DETR is trained on COCO train2017 dataset and evaluated on val2017 results of
`mAP(IoU=0.5:0.95)`
.
-
DETR uses 8GPU to train 500 epochs.
-
DETR uses 8GPU to train 500 epochs.
GPU multi-card training
```
bash
export
CUDA_VISIBLE_DEVICES
=
0,1,2,3,4,5,6,7
python
-m
paddle.distributed.launch
--gpus
0,1,2,3,4,5,6,7 tools/train.py
-c
configs/detr/detr_r50_1x_coco.yml
--fleet
-o
find_unused_parameters
=
True
```
## Citations
## Citations
```
```
@inproceedings{detr,
@inproceedings{detr,
...
...
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