https://github.com/fnzhan/Real-time-Scene-Text-Detection-and-Recognition-System

End-to-end pipeline for real-time scene text detection and recognition.
https://github.com/fnzhan/Real-time-Scene-Text-Detection-and-Recognition-System

scene-text-detection scene-text-recognition

Last synced: 10 days ago
JSON representation

End-to-end pipeline for real-time scene text detection and recognition.

• Host: GitHub
• URL: https://github.com/fnzhan/Real-time-Scene-Text-Detection-and-Recognition-System
• Owner: fnzhan
• Created: 2018-10-02T12:48:21.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2021-12-03T16:10:46.000Z (almost 3 years ago)
• Last Synced: 2024-08-02T11:14:54.478Z (3 months ago)
• Topics: scene-text-detection, scene-text-recognition
• Language: C++
• Homepage:
• Size: 2.43 MB
• Stars: 93
• Watchers: 3
• Forks: 33
• Open Issues: 3
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Real-time-Scene-Text-Detection-and-Recognition-System

End-to-end pipeline for real-time scene text detection and recognition.

[EAST](https://github.com/argman/EAST) is employed for the detection model, [CRNN](https://github.com/meijieru/crnn.pytorch) is employed for the recognition model.

# Installation

Please follow the installation guided of [EAST](https://github.com/argman/EAST) and [CRNN](https://github.com/meijieru/crnn.pytorch).

Download pre-trained EAST model from https://drive.google.com/file/d/0B3APw5BZJ67ETHNPaU9xUkVoV0U/view and put it in EAST/result.

Download pre-trained CRNN model from https://www.dropbox.com/s/dboqjk20qjkpta3/crnn.pth?dl=0 and put it in crnn/samples.

# Inference

Run the command:

````bash

cd EAST

bash eval.sh

````

# Screenshot

![image](https://github.com/fnzhan/Real-time-Scene-Text-Detection-and-Recognition-System/blob/master/screenshot.png)

# Video

Here is the full video of the real time system: https://youtu.be/1zvteqaU4h4