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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)
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Scout Monitoring
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ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
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PaddleOCR2Pytorch
PaddleOCR inference in PyTorch. Converted from [PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR)
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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.
Project address: https://github.com/PaddlePaddle/PaddleOCR
OpenCV:https://opencv.org/
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)
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.
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)
Project address of Deepin OCR: https://github.com/linuxdeepin/deepin-ocr
ONNX Simplifier:https://github.com/daquexian/onnx-simplifier