-[Server-side C++ Inference](#server-side-c-inference)
-[1. Prepare the Environment](#1-prepare-the-environment)
-[Environment](#environment)
-[1.1 Compile OpenCV](#11-compile-opencv)
-[1.2 Compile or Download or the Paddle Inference Library](#12-compile-or-download-or-the-paddle-inference-library)
-[1.2.1 Direct download and installation](#121-direct-download-and-installation)
-[1.2.2 Compile the inference source code](#122-compile-the-inference-source-code)
-[2. Compile and Run the Demo](#2-compile-and-run-the-demo)
-[2.1 Export the inference model](#21-export-the-inference-model)
-[2.2 Compile PaddleOCR C++ inference demo](#22-compile-paddleocr-c-inference-demo)
-[Run the demo](#run-the-demo)
-[1. run det demo:](#1-run-det-demo)
-[2. run rec demo:](#2-run-rec-demo)
-[3. run system demo:](#3-run-system-demo)
-[3. FAQ](#3-faq)
# Server-side C++ Inference
This chapter introduces the C++ deployment steps of the PaddleOCR model. The corresponding Python predictive deployment method refers to [document](../../doc/doc_ch/inference.md).
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@@ -258,9 +274,9 @@ More parameters are as follows,
|parameter|data type|default|meaning|
| --- | --- | --- | --- |
|rec_model_dir|string|-|Address of recognition inference model|
* Multi-language inference is also supported in PaddleOCR, you can refer to [recognition tutorial](../../doc/doc_en/recognition_en.md) for more supported languages and models in PaddleOCR. Specifically, if you want to infer using multi-language models, you just need to modify values of `char_list_file` and `rec_model_dir`.
* Multi-language inference is also supported in PaddleOCR, you can refer to [recognition tutorial](../../doc/doc_en/recognition_en.md) for more supported languages and models in PaddleOCR. Specifically, if you want to infer using multi-language models, you just need to modify values of `rec_char_dict_path` and `rec_model_dir`.
The detection results will be shown on the screen, which is as follows.
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@@ -270,6 +286,6 @@ The detection results will be shown on the screen, which is as follows.
</div>
### 2.3 Notes
## 3. FAQ
* Paddle 2.0.0 inference model library is recommended for this tutorial.
1. Encountered the error `unable to access 'https://github.com/LDOUBLEV/AutoLog.git/': gnutls_handshake() failed: The TLS connection was non-properly terminated.` First import `https://github. com/LDOUBLEV/AutoLog` project on gitee, and then change the github address in `deploy/cpp_infer/external-cmake/auto-log.cmake` to the gitee address.
