opencv-mobile
The minimal opencv for Android, iOS, ARM Linux, Windows, Linux, MacOS, WebAssembly (by nihui)
PaddleOCR2Pytorch
PaddleOCR inference in PyTorch. Converted from [PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR) (by frotms)
Our great sponsors
| opencv-mobile | PaddleOCR2Pytorch | |
|---|---|---|
| 1 | 1 | |
| 2,114 | 753 | |
| - | - | |
| 8.5 | 4.4 | |
| 10 days ago | about 2 months ago | |
| C++ | Python | |
| Apache License 2.0 | 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.
opencv-mobile
Posts with mentions or reviews of opencv-mobile.
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
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)
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 opencv-mobile and PaddleOCR2Pytorch you can also consider the following projects:
onnx-simplifier - Simplify your onnx model
jzIntvImGui - A cross-platform GUI for jzIntv
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
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
Paddle2ONNX - ONNX Model Exporter for PaddlePaddle
OpenCV - Open Source Computer Vision Library
opencv-mobile vs onnx-simplifier
PaddleOCR2Pytorch vs onnx-simplifier
opencv-mobile vs jzIntvImGui
PaddleOCR2Pytorch vs PaddleOCR
opencv-mobile vs deepin-ocr
PaddleOCR2Pytorch vs ncnn
opencv-mobile vs ncnn
PaddleOCR2Pytorch vs Paddle2ONNX
opencv-mobile vs OpenCV
PaddleOCR2Pytorch vs OpenCV
opencv-mobile vs Paddle2ONNX
PaddleOCR2Pytorch vs deepin-ocr