@@ -20,16 +20,16 @@ PaddleOCR provides 2 service deployment methods:
# Service deployment based on PaddleHub Serving
The hubserving service deployment directory includes seven service packages: text detection, text angle class, text recognition, text detection+text angle class+text recognition three-stage series connection, table recognition, PP-Structure and layout analysis. 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 seven service packages: text detection, text angle class, text recognition, text detection+text angle class+text recognition three-stage series connection, layout analysis, table recognition and PP-Structure. Please select the corresponding service package to install and start service according to your needs. The directory is as follows:
```
deploy/hubserving/
└─ ocr_det text detection module service package
└─ ocr_cls text angle class module service package
└─ ocr_rec text recognition module service package
└─ ocr_system text detection+text angle class+text recognition three-stage series connection service package
└─ structure_layout layout analysis service package
└─ structure_table table recognition service package
└─ structure_system PP-Structure service package
└─ structure_layout layout analysis service package
```
Each service pack contains 3 files. Take the 2-stage series connection service package as an example, the directory is as follows:
@@ -15,13 +16,16 @@ English | [简体中文](README_ch.md)
Layout recovery means that after OCR recognition, the content is still arranged like the original document pictures, and the paragraphs are output to word document in the same order.
Layout recovery combines [layout analysis](../layout/README.md)、[table recognition](../table/README.md) to better recover images, tables, titles, etc.
The following figure shows the result：
Layout recovery combines [layout analysis](../layout/README.md)、[table recognition](../table/README.md) to better recover images, tables, titles, etc. supports input files in PDF and document image formats in Chinese and English. The following figure shows the effect of restoring the layout of English and Chinese documents:
The layout restoration is exported as docx and PDF files, so python-docx and docx2pdf API need to be installed, and fitz and PyMuPDF apis need to be installed to process the input files in pdf format.
Through layout analysis, we divided the image/PDF documents into regions, located the key regions, such as text, table, picture, etc., and recorded the location, category, and regional pixel value information of each region. Different regions are processed separately, where:
- OCR detection and recognition is performed in the text area, and the coordinates of the OCR detection box and the text content information are added on the basis of the previous information
- The table area identifies tables and records html and text information of tables
- Save the image directly
We can restore the test picture through the layout information, OCR detection and recognition structure, table information, and saved pictures.
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### 3.1 Download models
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@@ -85,9 +101,11 @@ https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_det_infer.tar && ta
# Download the recognition model of the ultra-lightweight English PP-OCRv3 model and unzip it
wget https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_rec_infer.tar && tar xf en_PP-OCRv3_rec_infer.tar
# Download the ultra-lightweight English table inch model and unzip it
wget https://paddleocr.bj.bcebos.com/ppstructure/models/slanet/en_ppstructure_mobile_v2.0_SLANet_infer.tar && tar xf en_ppstructure_mobile_v2.0_SLANet_infer.tar
If input is Chinese document，download Chinese models:
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@@ -128,3 +146,15 @@ Field：
- recovery：whether to enable layout of recovery, default False
- save_pdf：when recovery file, whether to save pdf file, default False
- output：save the recovery result path
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## 4. More
For training, evaluation and inference tutorial for text detection models, please refer to [text detection doc](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/doc/doc_ch/detection.md).
For training, evaluation and inference tutorial for text recognition models, please refer to [text recognition doc](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/doc/doc_ch/recognition.md).
For training, evaluation and inference tutorial for layout analysis models, please refer to [layout analysis doc](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/ppstructure/layout/README_ch.md)
For training, evaluation and inference tutorial for table recognition models, please refer to [table recognition doc](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/ppstructure/table/README_ch.md)
