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The example is built on [PP-OCRv3](https://github.com/PaddlePaddle/PaddleOCR/blob/dygraph/doc/doc_ch/PP-OCRv3_introduction.md) English recognition model released by [PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR). Since Arm(R) Cortex(R)-M55 CPU does not support rnn operator, we delete the unsupported operator based on the PP-OCRv3 text recognition model to obtain the current 2.7M English recognition model.
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The example is built on [PP-OCRv3](https://github.com/PaddlePaddle/PaddleOCR/blob/main/docs/version2.x/ppocr/blog/PP-OCRv3_introduction.md) English recognition model released by [PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR). Since Arm(R) Cortex(R)-M55 CPU does not support rnn operator, we delete the unsupported operator based on the PP-OCRv3 text recognition model to obtain the current 2.7M English recognition model.
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PP-OCRv3 is the third version of the PP-OCR series model. This series of models has the following features:
-[Fixed Virtual Platform (FVP) based on Arm(R) Corstone(TM)-300 software](https://developer.arm.com/tools-and-software/open-source-software/arm-platforms-software/arm-ecosystem-fvps)
-[GCC toolchain from Arm(R)](https://developer.arm.com/-/media/Files/downloads/gnu-rm/10-2020q4/gcc-arm-none-eabi-10-2020-q4-major-x86_64-linux.tar.bz2)
**The model path can be found and modified in `params.py`.**
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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.
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More models provided by PaddleOCR can be obtained from the [model library](../../docs/version2.x/ppocr/model_list.en.md). You can also use models trained by yourself.
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### 2.3 Install Service Module
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PaddleOCR provides 5 kinds of service modules, install the required modules according to your needs.
Note: When compiling Paddle-Lite to obtain the Paddle-Lite library, you need to turn on the two options `--with_cv=ON --with_extra=ON`, `--arch` means the `arm` version, here is designated as armv8,
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More compilation commands refer to the introduction [link](https://paddle-lite.readthedocs.io/zh/release-v2.10_a/source_compile/linux_x86_compile_android.html) 。
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More compilation commands refer to the introduction [link](https://paddle-lite-pjc.readthedocs.io/zh/latest/user_guides/source_compile.html#paddlelite) 。
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After directly downloading the Paddle-Lite library and decompressing it, you can get the `inference_lite_lib.android.armv8/` folder, and the Paddle-Lite library obtained by compiling Paddle-Lite is located
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@@ -65,7 +65,7 @@ PaddleOCR is being oversight by a [PMC](https://github.com/PaddlePaddle/PaddleOC
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- Release[PP-ChatOCR](https://aistudio.baidu.com/aistudio/modelsdetail?modelId=332), a new scheme for extracting key information of general scenes using PP-OCR model and ERNIE LLM.
-**2022.10 release [optimized JS version PP-OCRv3 model](./ppocr/infer_deploy/paddle_js.en.md)** with 4.3M model size, 8x faster inference time, and a ready-to-use web demo
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@@ -84,9 +84,9 @@ PaddleOCR is being oversight by a [PMC](https://github.com/PaddlePaddle/PaddleOC
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-**2022.8 Add implementation of [8 cutting-edge algorithms](./algorithm/overview.en.md)**
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- Text Detection: [FCENet](./algorithm/text_detection/algorithm_det_fcenet.en.md), [DB++](./algorithm/text_detection/algorithm_det_db.en.md)
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- Text Recognition: [ViTSTR](./algorithm/text_recognition/algorithm_rec_vitstr.en.md), [ABINet](./algorithm/text_recognition/algorithm_rec_abinet.en.md), [VisionLAN](./algorithm/text_recognition/algorithm_rec_visionlan.en.md), [SPIN](./algorithm/text_recognition/algorithm_rec_spin.en.md), [RobustScanner](./algorithm/text_recognition/algorithm_rec_robustscanner.en.md)
- Text Detection: [FCENet](../version2.x/algorithm/text_detection/algorithm_det_fcenet.en.md), [DB++](../version2.x/algorithm/text_detection/algorithm_det_db.en.md)
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- Text Recognition: [ViTSTR](../version2.x/algorithm/text_recognition/algorithm_rec_vitstr.en.md), [ABINet](../version2.x/algorithm/text_recognition/algorithm_rec_abinet.en.md), [VisionLAN](../version2.x/algorithm/text_recognition/algorithm_rec_visionlan.en.md), [SPIN](../version2.x/algorithm/text_recognition/algorithm_rec_spin.en.md), [RobustScanner](../version2.x/algorithm/text_recognition/algorithm_rec_robustscanner.en.md)
- Release [PP-OCRv3](./ppocr/overview.en.md#pp-ocrv3): With comparable speed, the effect of Chinese scene is further improved by 5% compared with PP-OCRv2, the effect of English scene is improved by 11%, and the average recognition accuracy of 80 language multilingual models is improved by more than 5%.
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