fix lite-demo en readme
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# Tutorial of Deploy PaddleOCR on Mobile
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# Tutorial of PaddleOCR Mobile deployment
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This tutorial will introduce how to use paddle-lite to deploy paddleOCR ultra-lightweight Chinese and English detection models on mobile phones.
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@ -8,9 +8,9 @@ It provides efficient inference capabilities for mobile phones and IOTs,
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and extensively integrates cross-platform hardware to provide lightweight
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deployment solutions for end-side deployment issues.
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## 1. PREPARATION
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## 1. Preparation
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- Computer (for Complie PaddleLite)
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- Computer (for Compiling Paddle Lite)
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- Mobile phone (arm7 or arm8)
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## 2. Build ncnn library
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@ -32,8 +32,8 @@ The structure of the prediction library is as follows:
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```
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inference_lite_lib.android.armv8/
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|-- cxx C++ 预测库和头文件
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| |-- include C++ 头文件
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|-- cxx C++ prebuild library
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| |-- include C++
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| | |-- paddle_api.h
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| | |-- paddle_image_preprocess.h
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| | |-- paddle_lite_factory_helper.h
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@ -41,18 +41,18 @@ inference_lite_lib.android.armv8/
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| | |-- paddle_use_kernels.h
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| | |-- paddle_use_ops.h
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| | `-- paddle_use_passes.h
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| `-- lib C++预测库
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| |-- libpaddle_api_light_bundled.a C++静态库
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| `-- libpaddle_light_api_shared.so C++动态库
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|-- java Java预测库
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| `-- lib
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| |-- libpaddle_api_light_bundled.a C++ static library
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| `-- libpaddle_light_api_shared.so C++ dynamic library
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|-- java Java predict library
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| |-- jar
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| | `-- PaddlePredictor.jar
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| |-- so
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| | `-- libpaddle_lite_jni.so
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| `-- src
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|-- demo C++和Java示例代码
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| |-- cxx C++ 预测库demo
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| `-- java Java 预测库demo
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|-- demo C++ and java demo
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| |-- cxx
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| `-- java
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```
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