[Technical Article] OCR Upgrade

This page summarizes the projects mentioned and recommended in the original post on /r/deepin

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  • InfluxDB - Power Real-Time Data Analytics at Scale
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  • PaddleOCR

    Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

    Project address: https://github.com/PaddlePaddle/PaddleOCR

  • OpenCV

    Open Source Computer Vision Library

    OpenCV:https://opencv.org/

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  • ncnn

    ncnn is a high-performance neural network inference framework optimized for the mobile platform

    As the leading open-source inference framework in China and in the world, what we like are its almost zero cost cross-platform capability, high inference speed, and minimal deployment volume. (Project address: https://github.com/Tencent/ncnn)

  • PaddleOCR2Pytorch

    PaddleOCR inference in PyTorch. Converted from [PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR)

    Path №2: use the tools provided by the project https://github.com/frotms/PaddleOCR2Pytorch to convert the models of the Paddle Inference to the PTH files of Pytorch, then use the tools in Pytorch to convert the PTH files to the TorchScript files in Trace mode, and finally use PNNX in the NCNN toolbox to output them to PNNX and NCNN formats, and take the model files in NCNN format for deployment.

  • opencv-mobile

    The minimal opencv for Android, iOS, ARM Linux, Windows, Linux, MacOS, WebAssembly

    As a well-known image processing library, OpenCV plays an important auxiliary role in the algorithm process of PaddleOCR. However, the original OpenCV library is too large. If it is directly moved here, the enthusiasts in the community will certainly be dissatisfied. After investigation, we found a solution OpenCV-Mobile that can easily crop it. (Project address: https://github.com/nihui/opencv-mobile)

  • deepin-ocr

    Project address of Deepin OCR: https://github.com/linuxdeepin/deepin-ocr

  • Paddle2ONNX

    ONNX Model Exporter for PaddlePaddle

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  • onnx-simplifier

    Simplify your onnx model

    ONNX Simplifier:https://github.com/daquexian/onnx-simplifier

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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