A tensorflow implementation of EAST text detector

Overview

EAST: An Efficient and Accurate Scene Text Detector

Introduction

This is a tensorflow re-implementation of EAST: An Efficient and Accurate Scene Text Detector. The features are summarized blow:

  • Online demo
  • Only RBOX part is implemented.
  • A fast Locality-Aware NMS in C++ provided by the paper's author.
  • The pre-trained model provided achieves 80.83 F1-score on ICDAR 2015 Incidental Scene Text Detection Challenge using only training images from ICDAR 2015 and 2013. see here for the detailed results.
  • Differences from original paper
    • Use ResNet-50 rather than PVANET
    • Use dice loss (optimize IoU of segmentation) rather than balanced cross entropy
    • Use linear learning rate decay rather than staged learning rate decay
  • Speed on 720p (resolution of 1280x720) images:
    • Now
      • Graphic card: GTX 1080 Ti
      • Network fprop: ~50 ms
      • NMS (C++): ~6ms
      • Overall: ~16 fps
    • Then
      • Graphic card: K40
      • Network fprop: ~150 ms
      • NMS (python): ~300ms
      • Overall: ~2 fps

Thanks for the author's (@zxytim) help! Please cite his paper if you find this useful.

Contents

  1. Installation
  2. Download
  3. Demo
  4. Test
  5. Train
  6. Examples

Installation

  1. Any version of tensorflow version > 1.0 should be ok.

Download

  1. Models trained on ICDAR 2013 (training set) + ICDAR 2015 (training set): BaiduYun link GoogleDrive
  2. Resnet V1 50 provided by tensorflow slim: slim resnet v1 50

Train

If you want to train the model, you should provide the dataset path, in the dataset path, a separate gt text file should be provided for each image and run

python multigpu_train.py --gpu_list=0 --input_size=512 --batch_size_per_gpu=14 --checkpoint_path=/tmp/east_icdar2015_resnet_v1_50_rbox/ \
--text_scale=512 --training_data_path=/data/ocr/icdar2015/ --geometry=RBOX --learning_rate=0.0001 --num_readers=24 \
--pretrained_model_path=/tmp/resnet_v1_50.ckpt

If you have more than one gpu, you can pass gpu ids to gpu_list(like --gpu_list=0,1,2,3)

Note: you should change the gt text file of icdar2015's filename to img_*.txt instead of gt_img_*.txt(or you can change the code in icdar.py), and some extra characters should be removed from the file. See the examples in training_samples/

Demo

If you've downloaded the pre-trained model, you can setup a demo server by

python3 run_demo_server.py --checkpoint-path /tmp/east_icdar2015_resnet_v1_50_rbox/

Then open http://localhost:8769 for the web demo. Notice that the URL will change after you submitted an image. Something like ?r=49647854-7ac2-11e7-8bb7-80000210fe80 appends and that makes the URL persistent. As long as you are not deleting data in static/results, you can share your results to your friends using the same URL.

URL for example below: http://east.zxytim.com/?r=48e5020a-7b7f-11e7-b776-f23c91e0703e web-demo

Test

run

python eval.py --test_data_path=/tmp/images/ --gpu_list=0 --checkpoint_path=/tmp/east_icdar2015_resnet_v1_50_rbox/ \
--output_dir=/tmp/

a text file will be then written to the output path.

Examples

Here are some test examples on icdar2015, enjoy the beautiful text boxes! image_1 image_2 image_3 image_4 image_5

Troubleshooting

Please let me know if you encounter any issues(my email [email protected] dot com).

Python-based tools for document analysis and OCR

ocropy OCRopus is a collection of document analysis programs, not a turn-key OCR system. In order to apply it to your documents, you may need to do so

OCRopus 3.2k Dec 31, 2022
CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras

简介 基于Tensorflow和Keras实现端到端的不定长中文字符检测和识别 文本检测:CTPN 文本识别:DenseNet + CTC 环境部署 sh setup.sh 注:CPU环境执行前需注释掉for gpu部分,并解开for cpu部分的注释 Demo 将测试图片放入test_images

Yang Chenguang 2.6k Dec 29, 2022
Tools for manipulating and evaluating the hOCR format for representing multi-lingual OCR results by embedding them into HTML.

hocr-tools About About the code Installation System-wide with pip System-wide from source virtualenv Available Programs hocr-check -- check the hOCR f

OCRopus 285 Dec 08, 2022
Source code of RRPN ---- Arbitrary-Oriented Scene Text Detection via Rotation Proposals

Paper source Arbitrary-Oriented Scene Text Detection via Rotation Proposals https://arxiv.org/abs/1703.01086 News We update RRPN in pytorch 1.0! View

428 Nov 22, 2022
A simple Digits Recogniser made in Python

⭐ Python Digit Recogniser A simple digit Recogniser made in Python Demo Run Locally Clone the project git clone https://github.com/yashraj-n/python-

Yashraj narke 4 Nov 29, 2021
OCR, Scene-Text-Understanding, Text Recognition

Scene-Text-Understanding Survey [2015-PAMI] Text Detection and Recognition in Imagery: A Survey paper [2014-Front.Comput.Sci] Scene Text Detection and

Alan Tang 354 Dec 12, 2022
learn how to use Gesture Control to change the volume of a computer

Volume-Control-using-gesture In this project we are going to learn how to use Gesture Control to change the volume of a computer. We first look into h

Diwas Pandey 49 Sep 22, 2022
Framework for the Complete Gaze Tracking Pipeline

Framework for the Complete Gaze Tracking Pipeline The figure below shows a general representation of the camera-to-screen gaze tracking pipeline [1].

Pascal 20 Jan 06, 2023
This repo contains a script that allows us to find range of colors in images using openCV, and then convert them into geo vectors.

Vectorizing color range This repo contains a script that allows us to find range of colors in images using openCV, and then convert them into geo vect

Development Seed 9 Jul 27, 2022
Histogram specification using openCV in python .

histogram specification using openCV in python . Have to input miu and sigma to draw gausssian distribution which will be used to map the input image . Example input can be miu = 128 sigma = 30

Tamzid hasan 6 Nov 17, 2021
Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation, CVPR 2020 (Oral)

SEAM The implementation of Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentaion. You can also download the repos

Hibercraft 459 Dec 26, 2022
Corner-based Region Proposal Network

Corner-based Region Proposal Network CRPN is a two-stage detection framework for multi-oriented scene text. It employs corners to estimate the possibl

xhzdeng 140 Nov 04, 2022
This repository contains the code for the paper "SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks"

SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks (CVPR 2021 Oral) This repository contains the official PyTorch implementation

Shunsuke Saito 235 Dec 18, 2022
POT : Python Optimal Transport

This open source Python library provide several solvers for optimization problems related to Optimal Transport for signal, image processing and machine learning.

Python Optimal Transport 1.7k Jan 04, 2023
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

English | 简体中文 Introduction PaddleOCR aims to create multilingual, awesome, leading, and practical OCR tools that help users train better models and a

27.5k Jan 08, 2023
Select range and every time the screen changes, OCR is activated.

ASOCR(Auto Screen OCR) Select range and every time you press Space key, OCR is activated. 範囲を選ぶと、あなたがスペースキーを押すたびに、画面が変わる度にOCRが起動します。 usage1: simple OC

1 Feb 13, 2022
Simple SDF mesh generation in Python

Generate 3D meshes based on SDFs (signed distance functions) with a dirt simple Python API.

Michael Fogleman 1.1k Jan 08, 2023
Random maze generator and solver

Maze Generator and Solver I wrote a maze generator that works with two commonly known algorithms: Depth First Search and Randomized Prims. Both of the

Daniel Pérez 10 Sep 23, 2022
(CVPR 2021) ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection

ST3D Code release for the paper ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection, CVPR 2021 Authors: Jihan Yang*, Shaoshu

CVMI Lab 224 Dec 28, 2022
This is a GUI for scrapping PDFs with the help of optical character recognition making easier than ever to scrape PDFs.

pdf-scraper-with-ocr With this tool I am aiming to facilitate the work of those who need to scrape PDFs either by hand or using tools that doesn't imp

Jacobo José Guijarro Villalba 75 Oct 21, 2022