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Merge pull request #1870 from Intsigstephon/develop

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update lite_shitu Readme.md
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Bin Lu 2022-04-24 10:35:35 +08:00 committed by GitHub
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deploy/lite_shitu/README.md
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@ -92,9 +92,9 @@ PaddleClas 提供了转换并优化后的推理模型，可以直接参考下方
```shell
# 进入lite_ppshitu目录
cd $PaddleClas/deploy/lite_shitu
wget https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/lite/ppshitu_lite_models_v1.0.tar
tar -xf ppshitu_lite_models_v1.0.tar
rm -f ppshitu_lite_models_v1.0.tar
wget https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/lite/ppshitu_lite_models_v1.1.tar
tar -xf ppshitu_lite_models_v1.1.tar
rm -f ppshitu_lite_models_v1.1.tar
```
#### 2.1.2 使用其他模型
@ -173,15 +173,11 @@ cp $code_path/PaddleDetection/inference/picodet_lcnet_x2_5_640_mainbody/mainbody
2. 转换识别模型
请先参考 [识别模型转分类模型](../../docs/zh_CN/advanced_tutorials/gallery2fc.md) 完成识别模型到分类模型的转换。
在得到 inference 推理模型（后缀名为 `.pdmodel`、`.pdiparams`）以及 `label.txt` 后，再使用 PaddleLite opt 工具完成模型优化，命令如下：
```shell
# 转换为Paddle-Lite模型
paddle_lite_opt --model_file=inference/inference.pdmodel --param_file=inference/inference.pdiparams --optimize_out=inference/rec
# 将模型、label文件拷贝到lite_shitu下
# 将模型文件拷贝到lite_shitu下
cp inference/rec.nb deploy/lite_shitu/models/
cp inference/label.txt deploy/lite_shitu/models/
cd deploy/lite_shitu
```
@ -191,10 +187,10 @@ cd deploy/lite_shitu
```shell
# 如果测试单张图像
python generate_json_config.py --det_model_path ppshitu_lite_models_v1.0/mainbody_PPLCNet_x2_5_640_quant_v1.0_lite.nb --rec_model_path ppshitu_lite_models_v1.0/general_PPLCNet_x2_5_lite_v1.0_infer.nb --img_path images/demo.jpg
python generate_json_config.py --det_model_path ppshitu_lite_models_v1.1/mainbody_PPLCNet_x2_5_640_quant_v1.1_lite.nb --rec_model_path ppshitu_lite_models_v1.1/general_PPLCNet_x2_5_lite_v1.1_infer.nb --img_path images/demo.jpg
# or
# 如果测试多张图像
python generate_json_config.py --det_model_path ppshitu_lite_models_v1.0/mainbody_PPLCNet_x2_5_640_quant_v1.0_lite.nb --rec_model_path ppshitu_lite_models_v1.0/general_PPLCNet_x2_5_lite_v1.0_infer.nb --img_dir images
python generate_json_config.py --det_model_path ppshitu_lite_models_v1.1/mainbody_PPLCNet_x2_5_640_quant_v1.1_lite.nb --rec_model_path ppshitu_lite_models_v1.1/general_PPLCNet_x2_5_lite_v1.1_infer.nb --img_dir images
# 执行完成后，会在lit_shitu下生成shitu_config.json配置文件
```
@ -263,7 +259,7 @@ make ARM_ABI=arm8
```shell
mkdir deploy
mv ppshitu_lite_models_v1.0 deploy/
mv ppshitu_lite_models_v1.1 deploy/
mv drink_dataset_v1.0 deploy/
mv images deploy/
mv shitu_config.json deploy/
@ -277,12 +273,12 @@ cp ../../../cxx/lib/libpaddle_light_api_shared.so deploy/
```shell
deploy/
|-- ppshitu_lite_models_v1.0/
| |--mainbody_PPLCNet_x2_5_lite_v1.0_infer.nb 优化后的主体检测模型文件
| |--general_PPLCNet_x2_5_quant_v1.0_lite.nb 优化后的识别模型文件
|-- ppshitu_lite_models_v1.1/
| |--mainbody_PPLCNet_x2_5_640_quant_v1.1_lite.nb 优化后的主体检测模型文件
| |--general_PPLCNet_x2_5_lite_v1.1_infer.nb 优化后的识别模型文件
|-- images/
| |--demo.jpg 图片文件
|-- drink_dataset_v1.0/ 瓶装饮料demo数据
|-- drink_dataset_v1.0/ 瓶装饮料demo数据
| |--index 检索index目录
|-- pp_shitu 生成的移动端执行文件
|-- shitu_config.json 执行时参数配置文件