EAST
PyTorch Re-Implementation of EAST: An Efficient and Accurate Scene Text Detector (by SakuraRiven)
EAST
This is a pytorch re-implementation of EAST: An Efficient and Accurate Scene Text Detector. (by songdejia)
EAST | EAST | |
---|---|---|
1 | 1 | |
404 | 568 | |
- | - | |
0.0 | 10.0 | |
almost 3 years ago | about 5 years ago | |
Python | Python | |
MIT License | 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.
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.
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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:
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:
What are some alternatives?
When comparing EAST and EAST you can also consider the following projects:
EAST - A tensorflow implementation of EAST text detector