TNN
EAST
Our great sponsors
| TNN | EAST | |
|---|---|---|
| 1 | 1 | |
| 4,277 | 2,993 | |
| 1.0% | - | |
| 2.5 | 0.0 | |
| 7 days ago | over 1 year ago | |
| C++ | C++ | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
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.
TNN
EAST
-
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?
MNN - MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
deep-license-plate-recognition - Automatic License Plate Recognition (ALPR) or Automatic Number Plate Recognition (ANPR) software that works with any camera.
Stable-Diffusion-NCNN - Stable Diffusion in NCNN with c++, supported txt2img and img2img
EAST - This is a pytorch re-implementation of EAST: An Efficient and Accurate Scene Text Detector.
libfacedetection - An open source library for face detection in images. The face detection speed can reach 1000FPS.
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
FastDeploy - ⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization, multi-platform and multi-framework support.
tensorflow - An Open Source Machine Learning Framework for Everyone
dlstreamer - This repository is a home to Intel® Deep Learning Streamer (Intel® DL Streamer) Pipeline Framework. Pipeline Framework is a streaming media analytics framework, based on GStreamer* multimedia framework, for creating complex media analytics pipelines.
EAST - PyTorch Re-Implementation of EAST: An Efficient and Accurate Scene Text Detector
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.