-
EAST
This is a pytorch re-implementation of EAST: An Efficient and Accurate Scene Text Detector. (by songdejia)
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
-
EAST
PyTorch Re-Implementation of EAST: An Efficient and Accurate Scene Text Detector (by SakuraRiven)
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:
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:
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:
Related posts
-
Show HN: FileKitty – Combine and label text files for LLM prompt contexts
-
Effortlessly Create an AI Dungeon Master Bot Using Julep and Chainlit
-
An Exploration of Software-defined networks in video streaming, Part Three: Performance of a streaming system over a SDN
-
Clasificador de imágenes con una red neuronal convolucional (CNN)
-
CommaAgents, LLM AutoGenish like system for building LLM systems