diff --git a/deploy/hubserving/readme.md b/deploy/hubserving/readme.md index ff04aa8bf680bbb7e2463563d39f93d9fd779634..9135615520ddfcff30af74c07348d35a4d0de8d7 100755 --- a/deploy/hubserving/readme.md +++ b/deploy/hubserving/readme.md @@ -19,13 +19,14 @@ PaddleOCR提供2种服务部署方式： # 基于PaddleHub Serving的服务部署 -hubserving服务部署目录下包括检测、识别、2阶段串联三种服务包，请根据需求选择相应的服务包进行安装和启动。目录结构如下： +hubserving服务部署目录下包括检测、识别、2阶段串联和表格识别四种服务包，请根据需求选择相应的服务包进行安装和启动。目录结构如下： ``` deploy/hubserving/ └─ ocr_cls 分类模块服务包 └─ ocr_det 检测模块服务包 └─ ocr_rec 识别模块服务包 └─ ocr_system 检测+识别串联服务包 + └─ structure_table 表格识别服务包 ``` 每个服务包下包含3个文件。以2阶段串联服务包为例，目录如下： @@ -43,7 +44,7 @@ deploy/hubserving/ocr_system/ ```shell # 安装paddlehub # paddlehub 需要 python>3.6.2 -pip3 install paddlehub==2.1.0 --upgrade -i https://pypi.tuna.tsinghua.edu.cn/simple +pip3 install paddlehub==2.1.0 --upgrade -i https://mirror.baidu.com/pypi/simple ``` ### 2. 下载推理模型 @@ -52,12 +53,13 @@ pip3 install paddlehub==2.1.0 --upgrade -i https://pypi.tuna.tsinghua.edu.cn/sim 检测模型：./inference/ch_PP-OCRv2_det_infer/ 识别模型：./inference/ch_PP-OCRv2_rec_infer/ 方向分类器：./inference/ch_ppocr_mobile_v2.0_cls_infer/ +表格结构识别模型：./inference/en_ppocr_mobile_v2.0_table_structure_infer/ ``` -**模型路径可在`params.py`中查看和修改。** 更多模型可以从PaddleOCR提供的[模型库](../../doc/doc_ch/models_list.md)下载，也可以替换成自己训练转换好的模型。 +**模型路径可在`params.py`中查看和修改。** 更多模型可以从PaddleOCR提供的模型库[PP-OCR](../../doc/doc_ch/models_list.md)和[PP-Structure](../../ppstructure/docs/models_list.md)下载，也可以替换成自己训练转换好的模型。 ### 3. 安装服务模块 -PaddleOCR提供3种服务模块，根据需要安装所需模块。 +PaddleOCR提供5种服务模块，根据需要安装所需模块。 * 在Linux环境下，安装示例如下： ```shell @@ -72,6 +74,9 @@ hub install deploy/hubserving/ocr_rec/ # 或，安装检测+识别串联服务模块： hub install deploy/hubserving/ocr_system/ + +# 或，安装表格识别服务模块： +hub install deploy/hubserving/structure_table/ ``` * 在Windows环境下(文件夹的分隔符为`\`)，安装示例如下： @@ -87,6 +92,9 @@ hub install deploy\hubserving\ocr_rec\ # 或，安装检测+识别串联服务模块： hub install deploy\hubserving\ocr_system\ + +# 或，安装表格识别服务模块： +hub install deploy\hubserving\structure_table\ ``` ### 4. 启动服务 @@ -102,7 +110,7 @@ $ hub serving start --modules [Module1==Version1, Module2==Version2, ...] \ **参数：** |参数|用途| -|-|-| +|---|---| |--modules/-m|PaddleHub Serving预安装模型，以多个Module==Version键值对的形式列出
*`当不指定Version时，默认选择最新版本`*| |--port/-p|服务端口，默认为8866| |--use_multiprocess|是否启用并发方式，默认为单进程方式，推荐多核CPU机器使用此方式
*`Windows操作系统只支持单进程方式`*| @@ -157,11 +165,12 @@ hub serving start -c deploy/hubserving/ocr_system/config.json 需要给脚本传递2个参数： - **server_url**：服务地址，格式为 `http://[ip_address]:[port]/predict/[module_name]` -例如，如果使用配置文件启动分类，检测、识别，检测+分类+识别3阶段服务，那么发送请求的url将分别是： +例如，如果使用配置文件启动分类，检测、识别，检测+分类+识别3阶段，表格识别服务，那么发送请求的url将分别是： `http://127.0.0.1:8865/predict/ocr_det` `http://127.0.0.1:8866/predict/ocr_cls` `http://127.0.0.1:8867/predict/ocr_rec` `http://127.0.0.1:8868/predict/ocr_system` +`http://127.0.0.1:8869/predict/structure_table` - **image_dir**：测试图像路径，可以是单张图片路径，也可以是图像集合目录路径 - **visualize**：是否可视化结果，默认为False @@ -172,7 +181,7 @@ hub serving start -c deploy/hubserving/ocr_system/config.json 返回结果为列表（list），列表中的每一项为词典（dict），词典一共可能包含3种字段，信息如下： |字段名称|数据类型|意义| -|----|----|----| +|---|---|---| |angle|str|文本角度| |text|str|文本内容| |confidence|float| 文本识别置信度或文本角度分类置信度| @@ -182,7 +191,7 @@ hub serving start -c deploy/hubserving/ocr_system/config.json 不同模块返回的字段不同，如，文本识别服务模块返回结果不含`text_region`字段，具体信息如下： | 字段名/模块名 | ocr_det | ocr_cls | ocr_rec | ocr_system | structure_table | -| ---- | ---- | ---- | ---- | ---- | ---- | +| --- | --- | --- | --- | --- | --- | |angle| | ✔ | | ✔ | | |text| | |✔|✔| | |confidence| |✔ |✔| | | diff --git a/deploy/hubserving/readme_en.md b/deploy/hubserving/readme_en.md index f8fd3fa14b8417dcf50fb3b0767d96c5c89a6364..03c1630de6f51aeab1926d432a56b50140114083 100755 --- a/deploy/hubserving/readme_en.md +++ b/deploy/hubserving/readme_en.md @@ -19,13 +19,14 @@ PaddleOCR provides 2 service deployment methods: # Service deployment based on PaddleHub Serving -The hubserving service deployment directory includes three service packages: detection, recognition, and two-stage series connection. Please select the corresponding service package to install and start service according to your needs. The directory is as follows: +The hubserving service deployment directory includes three service packages: text detection, text recognition, two-stage series connection and table recognition. Please select the corresponding service package to install and start service according to your needs. The directory is as follows: ``` deploy/hubserving/ - └─ ocr_det detection module service package - └─ ocr_cls angle class module service package - └─ ocr_rec recognition module service package + └─ ocr_det text detection module service package + └─ ocr_cls text angle class module service package + └─ ocr_rec text recognition module service package └─ ocr_system two-stage series connection service package + └─ structure_table table recognition service package ``` Each service pack contains 3 files. Take the 2-stage series connection service package as an example, the directory is as follows: @@ -50,29 +51,33 @@ pip3 install paddlehub==2.1.0 --upgrade -i https://pypi.tuna.tsinghua.edu.cn/sim ### 2. Download inference model Before installing the service module, you need to prepare the inference model and put it in the correct path. By default, the PP-OCRv2 models are used, and the default model path is: ``` -detection model: ./inference/ch_PP-OCRv2_det_infer/ -recognition model: ./inference/ch_PP-OCRv2_rec_infer/ -text direction classifier: ./inference/ch_ppocr_mobile_v2.0_cls_infer/ +text detection model: ./inference/ch_PP-OCRv2_det_infer/ +text recognition model: ./inference/ch_PP-OCRv2_rec_infer/ +text angle classifier: ./inference/ch_ppocr_mobile_v2.0_cls_infer/ +tanle recognition: ./inference/en_ppocr_mobile_v2.0_table_structure_infer/ ``` **The model path can be found and modified in `params.py`.** More models provided by PaddleOCR can be obtained from the [model library](../../doc/doc_en/models_list_en.md). You can also use models trained by yourself. ### 3. Install Service Module -PaddleOCR provides 3 kinds of service modules, install the required modules according to your needs. +PaddleOCR provides 5 kinds of service modules, install the required modules according to your needs. * On Linux platform, the examples are as follows. ```shell -# Install the detection service module: +# Install the text detection service module: hub install deploy/hubserving/ocr_det/ -# Or, install the angle class service module: +# Or, install the text angle class service module: hub install deploy/hubserving/ocr_cls/ -# Or, install the recognition service module: +# Or, install the text recognition service module: hub install deploy/hubserving/ocr_rec/ # Or, install the 2-stage series service module: hub install deploy/hubserving/ocr_system/ + +# Or install table recognition service module +hub install deploy/hubserving/structure_table/ ``` * On Windows platform, the examples are as follows. @@ -88,6 +93,9 @@ hub install deploy\hubserving\ocr_rec\ # Or, install the 2-stage series service module: hub install deploy\hubserving\ocr_system\ + +# Or install table recognition service module +hub install deploy/hubserving/structure_table/ ``` ### 4. Start service @@ -103,7 +111,7 @@ $ hub serving start --modules [Module1==Version1, Module2==Version2, ...] \ **parameters：** |parameters|usage| -|-|-| +|---|---| |--modules/-m|PaddleHub Serving pre-installed model, listed in the form of multiple Module==Version key-value pairs
*`When Version is not specified, the latest version is selected by default`*| |--port/-p|Service port, default is 8866| |--use_multiprocess|Enable concurrent mode, the default is single-process mode, this mode is recommended for multi-core CPU machines
*`Windows operating system only supports single-process mode`*| @@ -162,11 +170,13 @@ python tools/test_hubserving.py server_url image_path Two parameters need to be passed to the script: - **server_url**：service address，format of which is `http://[ip_address]:[port]/predict/[module_name]` -For example, if the detection, recognition and 2-stage serial services are started with provided configuration files, the respective `server_url` would be: +For example, if using the configuration file to start the text angle classification, text detection, text recognition, detection+classification+recognition 3 stages, table recognition service, then the `server_url` to send the request will be: + `http://127.0.0.1:8865/predict/ocr_det` `http://127.0.0.1:8866/predict/ocr_cls` `http://127.0.0.1:8867/predict/ocr_rec` `http://127.0.0.1:8868/predict/ocr_system` +`http://127.0.0.1:8869/predict/structure_table` - **image_dir**：Test image path, can be a single image path or an image directory path - **visualize**：Whether to visualize the results, the default value is False @@ -184,6 +194,7 @@ The returned result is a list. Each item in the list is a dict. The dict may con |text|str|text content| |confidence|float|text recognition confidence| |text_region|list|text location coordinates| +|html|str|table html str| The fields returned by different modules are different. For example, the results returned by the text recognition service module do not contain `text_region`. The details are as follows: