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体验新版 GitCode,发现更多精彩内容 >>
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89cab814
编写于
5月 21, 2021
作者:
L
LDOUBLEV
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电子邮件补丁
差异文件
fix doc of prune
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deploy/slim/prune/README.md
deploy/slim/prune/README.md
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deploy/slim/prune/README_en.md
deploy/slim/prune/README_en.md
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deploy/slim/prune/README.md
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...
@@ -49,14 +49,14 @@ python3 setup.py install
...
@@ -49,14 +49,14 @@ python3 setup.py install
进入PaddleOCR根目录,通过以下命令对模型进行敏感度分析训练:
进入PaddleOCR根目录,通过以下命令对模型进行敏感度分析训练:
```
bash
```
bash
python3.7 deploy/slim/prune/sensitivity_anal.py
-c
configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml
-o
Global.pretrained_model
=
"your trained model"
python3.7 deploy/slim/prune/sensitivity_anal.py
-c
configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml
-o
Global.pretrained_model
=
"your trained model"
Global.save_model_dir
=
./output/prune_model/
```
```
### 4. 导出模型、预测部署
### 4. 导出模型、预测部署
在得到裁剪训练保存的模型后,我们可以将其导出为inference_model:
在得到裁剪训练保存的模型后,我们可以将其导出为inference_model:
```
bash
```
bash
pytho3.7 deploy/slim/prune/export_prune_model.py
-c
configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml
-o
Global.pretrained_model
=
./output/det_db/best_accuracy Global.save_inference_dir
=
inference_model
pytho3.7 deploy/slim/prune/export_prune_model.py
-c
configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml
-o
Global.pretrained_model
=
./output/det_db/best_accuracy Global.save_inference_dir
=
./prune/prune_
inference_model
```
```
inference model的预测和部署参考:
inference model的预测和部署参考:
...
...
deploy/slim/prune/README_en.md
浏览文件 @
89cab814
...
@@ -54,7 +54,7 @@ Enter the PaddleOCR root directory,perform sensitivity analysis on the model w
...
@@ -54,7 +54,7 @@ Enter the PaddleOCR root directory,perform sensitivity analysis on the model w
```
bash
```
bash
python3.7 deploy/slim/prune/sensitivity_anal.py
-c
configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml
-o
Global.pretrained_model
=
"your trained model"
python3.7 deploy/slim/prune/sensitivity_anal.py
-c
configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml
-o
Global.pretrained_model
=
"your trained model"
Global.save_model_dir
=
./output/prune_model/
```
```
...
@@ -63,7 +63,7 @@ python3.7 deploy/slim/prune/sensitivity_anal.py -c configs/det/ch_ppocr_v2.0/ch_
...
@@ -63,7 +63,7 @@ python3.7 deploy/slim/prune/sensitivity_anal.py -c configs/det/ch_ppocr_v2.0/ch_
We can export the pruned model as inference_model for deployment:
We can export the pruned model as inference_model for deployment:
```
bash
```
bash
python deploy/slim/prune/export_prune_model.py
-c
configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml
-o
Global.pretrained_model
=
./output/det_db/best_accuracy
Global.save_inference_dir
=
inference_model
python deploy/slim/prune/export_prune_model.py
-c
configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml
-o
Global.pretrained_model
=
./output/det_db/best_accuracy
Global.save_inference_dir
=
./prune/prune_
inference_model
```
```
Reference for prediction and deployment of inference model:
Reference for prediction and deployment of inference model:
...
...
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