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@ -18,7 +18,7 @@ Paddle Lite是飞桨轻量化推理引擎,为手机、IOT端提供高效推理
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1. [Docker](https://paddle-lite.readthedocs.io/zh/latest/user_guides/source_compile.html#docker)
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2. [Linux](https://paddle-lite.readthedocs.io/zh/latest/user_guides/source_compile.html#android)
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3. [MAC OS](https://paddle-lite.readthedocs.io/zh/latest/user_guides/source_compile.html#id13)
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4. [Windows](https://paddle-lite.readthedocs.io/zh/latest/demo_guides/x86.html#windows)
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4. [Windows](https://paddle-lite.readthedocs.io/zh/latest/demo_guides/x86.html#id4)
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### 1.2 准备预测库
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@ -84,7 +84,7 @@ Paddle-Lite 提供了多种策略来自动优化原始的模型,其中包括
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|模型简介|检测模型|识别模型|Paddle-Lite版本|
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|-|-|-|-|
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|超轻量级中文OCR opt优化模型|[下载地址](https://paddleocr.bj.bcebos.com/deploy/lite/ch_det_mv3_db_opt.nb)|[下载地址](https://paddleocr.bj.bcebos.com/deploy/lite/ch_rec_mv3_crnn_opt.nb)|2.6.1|
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|超轻量级中文OCR opt优化模型|[下载地址](https://paddleocr.bj.bcebos.com/deploy/lite/ch_det_mv3_db_opt.nb)|[下载地址](https://paddleocr.bj.bcebos.com/deploy/lite/ch_rec_mv3_crnn_opt.nb)|develop|
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如果直接使用上述表格中的模型进行部署,可略过下述步骤,直接阅读 [2.2节](#2.2与手机联调)。
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@ -17,7 +17,7 @@ deployment solutions for end-side deployment issues.
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[build for Docker](https://paddle-lite.readthedocs.io/zh/latest/user_guides/source_compile.html#docker)
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[build for Linux](https://paddle-lite.readthedocs.io/zh/latest/user_guides/source_compile.html#android)
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[build for MAC OS](https://paddle-lite.readthedocs.io/zh/latest/user_guides/source_compile.html#id13)
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[build for windows](https://paddle-lite.readthedocs.io/zh/latest/demo_guides/x86.html#windows)
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[build for windows](https://paddle-lite.readthedocs.io/zh/latest/demo_guides/x86.html#id4)
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## 3. Download prebuild library for android and ios
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@ -155,7 +155,7 @@ demo/cxx/ocr/
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|-- debug/
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| |--ch_det_mv3_db_opt.nb Detection model
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| |--ch_rec_mv3_crnn_opt.nb Recognition model
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| |--11.jpg image for OCR
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| |--11.jpg Image for OCR
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| |--ppocr_keys_v1.txt Dictionary file
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| |--libpaddle_light_api_shared.so C++ .so file
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| |--config.txt Config file
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@ -78,7 +78,7 @@ class MobileNetV3():
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supported_scale = [0.35, 0.5, 0.75, 1.0, 1.25]
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assert self.scale in supported_scale, \
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"supported scale are {} but input scale is {}".format(supported_scale, scale)
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"supported scales are {} but input scale is {}".format(supported_scale, self.scale)
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def __call__(self, input):
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scale = self.scale
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