EAST
A tensorflow implementation of EAST text detector (by argman)
TNN
TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、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. (by Tencent)
| EAST | TNN | |
|---|---|---|
| 1 | 1 | |
| 2,993 | 4,289 | |
| - | 0.8% | |
| 0.0 | 1.9 | |
| over 1 year ago | 15 days ago | |
| C++ | C++ | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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.
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?
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:
TNN
Posts with mentions or reviews of TNN.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-06.
What are some alternatives?
When comparing EAST and TNN you can also consider the following projects:
deep-license-plate-recognition - Automatic License Plate Recognition (ALPR) or Automatic Number Plate Recognition (ANPR) software that works with any camera.
MNN - MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
EAST - This is a pytorch re-implementation of EAST: An Efficient and Accurate Scene Text Detector.
Stable-Diffusion-NCNN - Stable Diffusion in NCNN with c++, supported txt2img and img2img
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
libfacedetection - An open source library for face detection in images. The face detection speed can reach 1000FPS.