提交 4250ad5b 编写于 作者: D dengkaipeng

fix format.

上级 f7efca5e
...@@ -134,7 +134,7 @@ Evaluation is to evaluate the performance of a trained model. This sample provid ...@@ -134,7 +134,7 @@ Evaluation is to evaluate the performance of a trained model. This sample provid
- Set ```export CUDA_VISIBLE_DEVICES=0``` to specifiy one GPU to eval. - Set ```export CUDA_VISIBLE_DEVICES=0``` to specifiy one GPU to eval.
If train with '--syncbn=False', Evalutaion result is shown as below: If train with `--syncbn=False`, Evalutaion result is shown as below:
| input size | mAP(IoU=0.50:0.95) | mAP(IoU=0.50) | mAP(IoU=0.75) | | input size | mAP(IoU=0.50:0.95) | mAP(IoU=0.50) | mAP(IoU=0.75) |
| :------: | :------: | :------: | :------: | | :------: | :------: | :------: | :------: |
...@@ -142,7 +142,7 @@ If train with '--syncbn=False', Evalutaion result is shown as below: ...@@ -142,7 +142,7 @@ If train with '--syncbn=False', Evalutaion result is shown as below:
| 416x416 | 36.5 | 58.2 | 39.1 | | 416x416 | 36.5 | 58.2 | 39.1 |
| 320x320 | 34.1 | 55.4 | 36.3 | | 320x320 | 34.1 | 55.4 | 36.3 |
If train with '--syncbn=True', Evalutaion result is shown as below: If train with `--syncbn=True`, Evalutaion result is shown as below:
| input size | mAP(IoU=0.50:0.95) | mAP(IoU=0.50) | mAP(IoU=0.75) | | input size | mAP(IoU=0.50:0.95) | mAP(IoU=0.50) | mAP(IoU=0.75) |
| :------: | :------: | :------: | :------: | | :------: | :------: | :------: | :------: |
......
...@@ -134,7 +134,7 @@ Train Loss ...@@ -134,7 +134,7 @@ Train Loss
- 通过设置export CUDA\_VISIBLE\_DEVICES=0指定单卡GPU评估。 - 通过设置export CUDA\_VISIBLE\_DEVICES=0指定单卡GPU评估。
若训练时指定'--syncbn=False', 模型评估精度如下: 若训练时指定`--syncbn=False`, 模型评估精度如下:
| input size | mAP(IoU=0.50:0.95) | mAP(IoU=0.50) | mAP(IoU=0.75) | | input size | mAP(IoU=0.50:0.95) | mAP(IoU=0.50) | mAP(IoU=0.75) |
| :------: | :------: | :------: | :------: | | :------: | :------: | :------: | :------: |
...@@ -142,7 +142,7 @@ Train Loss ...@@ -142,7 +142,7 @@ Train Loss
| 416x416 | 36.5 | 58.2 | 39.1 | | 416x416 | 36.5 | 58.2 | 39.1 |
| 320x320 | 34.1 | 55.4 | 36.3 | | 320x320 | 34.1 | 55.4 | 36.3 |
若训练时指定'--syncbn=True', 模型评估精度如下: 若训练时指定`--syncbn=True`, 模型评估精度如下:
| input size | mAP(IoU=0.50:0.95) | mAP(IoU=0.50) | mAP(IoU=0.75) | | input size | mAP(IoU=0.50:0.95) | mAP(IoU=0.50) | mAP(IoU=0.75) |
| :------: | :------: | :------: | :------: | | :------: | :------: | :------: | :------: |
......
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