deepin-ocr
By linuxdeepin
PaddleOCR2Pytorch
PaddleOCR inference in PyTorch. Converted from [PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR) (by frotms)
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deepin-ocr | PaddleOCR2Pytorch | |
---|---|---|
1 | 1 | |
20 | 760 | |
- | - | |
4.0 | 4.4 | |
9 months ago | 2 months ago | |
C++ | Python | |
GNU General Public License v3.0 only | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
deepin-ocr
Posts with mentions or reviews of deepin-ocr.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-06-12.
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[Technical Article] OCR Upgrade
Project address of Deepin OCR: https://github.com/linuxdeepin/deepin-ocr
PaddleOCR2Pytorch
Posts with mentions or reviews of PaddleOCR2Pytorch.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-06-12.
-
[Technical Article] OCR Upgrade
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.
What are some alternatives?
When comparing deepin-ocr and PaddleOCR2Pytorch you can also consider the following projects:
onnx-simplifier - Simplify your onnx model
Paddle2ONNX - ONNX Model Exporter for PaddlePaddle
opencv-mobile - The minimal opencv for Android, iOS, ARM Linux, Windows, Linux, MacOS, WebAssembly
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
OpenCV - Open Source Computer Vision Library
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)
deepin-ocr vs onnx-simplifier
PaddleOCR2Pytorch vs onnx-simplifier
deepin-ocr vs Paddle2ONNX
PaddleOCR2Pytorch vs opencv-mobile
deepin-ocr vs opencv-mobile
PaddleOCR2Pytorch vs Paddle2ONNX
deepin-ocr vs ncnn
PaddleOCR2Pytorch vs ncnn
deepin-ocr vs OpenCV
PaddleOCR2Pytorch vs PaddleOCR
PaddleOCR2Pytorch vs OpenCV