EAST VS EAST

Compare EAST vs EAST and see what are their differences.

EAST

A tensorflow implementation of EAST text detector (by argman)

EAST

PyTorch Re-Implementation of EAST: An Efficient and Accurate Scene Text Detector (by SakuraRiven)
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EAST EAST
1 1
2,993 404
- -
0.0 0.0
over 1 year ago almost 3 years ago
C++ Python
GNU General Public License v3.0 only MIT License
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.
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EAST

Posts with mentions or reviews of EAST. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-03.
  • How the network architecture in EAST text detector translates to keras?
    3 projects | /r/MLQuestions | 3 Dec 2021
    I'm not sure whether I'm among a few or many who struggle translating academic papers to code. I tried looking for EAST reliable implementation, and so far I only found this (TF 1.x), this (pytorch), this (pytorch), ... and a few others. The problem is that I cannot tell the differences between each and the paper's implementation. Here's the network architecture below, can someone explain how I should read and interpret / convert what is understood from the figure to a keras model. The parts I find tricky:

EAST

Posts with mentions or reviews of EAST. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-03.
  • How the network architecture in EAST text detector translates to keras?
    3 projects | /r/MLQuestions | 3 Dec 2021
    I'm not sure whether I'm among a few or many who struggle translating academic papers to code. I tried looking for EAST reliable implementation, and so far I only found this (TF 1.x), this (pytorch), this (pytorch), ... and a few others. The problem is that I cannot tell the differences between each and the paper's implementation. Here's the network architecture below, can someone explain how I should read and interpret / convert what is understood from the figure to a keras model. The parts I find tricky:

What are some alternatives?

When comparing EAST and EAST you can also consider the following projects:

TNN - TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile态desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.

deep-license-plate-recognition - Automatic License Plate Recognition (ALPR) or Automatic Number Plate Recognition (ANPR) software that works with any camera.

EAST - This is a pytorch re-implementation of EAST: An Efficient and Accurate Scene Text Detector.

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

tensorflow - An Open Source Machine Learning Framework for Everyone

DeepSpeech - DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.