| Network | LSTM | 4x1 Pooling | Gray | Test Acc |
|---|---|---|---|---|
| SimpleNet | N | Y | Y | 99.37% |
| SE-ResNet34 | N | Y | Y | 99.73% |
| Network | LSTM | 4x1 Pooling | Gray | Test Acc |
|---|---|---|---|---|
| SimpleNet | Y | Y | Y | 87.17% |
| SE-ResNet50-PReLU | Y | Y | Y | 94.05% |
| SE-ResNeXt101-PReLU | Y | Y | Y | 94.38% |
KTP OCR Indonesian ID Card OCR using tesseract OCR KTP OCR is python-flask with tesseract web application to convert Indonesian ID Card to text / JSON
Products Recognition 介绍 商品识别，围绕在复杂的商场零售场景中，识别出货架图像中的商品信息。主要组成部分： 重复图像检测。【更新进度 4/10】 图像拼接。【更新进度 0/10】 目标检测。【更新进度 0/10】 商品识别。【更新进度 1/10】 OCR。【更新进度 1/10】
Handwriting OCR The project tries to create software for recognition of a handwritten text from photos (also for Czech language). It uses computer vis
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awesome-deep-text-detection-recognition A curated list of awesome deep learning based papers on text detection and recognition. Text Detection Papers
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deep ocr See README_en.md for English installation documentation. 只在ubuntu下面测试通过，需要virtualenv安装，安装路径可自行调整： git clone https://github.com/JinpengLI/deep
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There's a line in lstm.py .
last_states.append(LSTMState(c=mx.sym.Variable("l%d_init_c" % i), h=mx.sym.Variable("l%d_init_h" % i)))
I found Variable c & h are not initialized or setted. So why the symbol is right?
Hi, I am not able to train insightocr using train_crnn.py file. I have downloaded the Synthetic Word Dataset(10GB) from VGG_Text. Then i have made following changes-
In config.py, default.dataset = 'vgg' dataset.vgg.dataset_path = 'path of vgg dataset'
In train_crnn.py, In line 70- image_set='annotation_train' In line 71- image_set='annotation_val'
annotation_train file contains data in following format-
./2425/1/115_Lube_45484.jpg 45484 image_name index
These index are mapped to label in lexicon.txt file. But in the entire script, we have not passed the path of lexicon.txt file. So how the model is going to train.
Kindly provide some solution to train it on VGG_text dataset.
Also what is config.image_path in config.py?
STN-OCR: A single Neural Network for Text Detection and Text Recognition This repository contains the code for the paper: STN-OCR: A single Neural Net
Security camera running OpenCV for object and motion detection. The camera will send email with image of any objects it detects. It also runs a server that provides web interface with live stream video.
OCR Resources This repository contains a collection of resources (including the papers and datasets) of OCR (Optical Character Recognition). Contents
Open Semantic Search https://opensemanticsearch.org Integrated search server, ETL framework for document processing (crawling, text extraction, text a
Scene-Text-Understanding Survey [2015-PAMI] Text Detection and Recognition in Imagery: A Survey paper [2014-Front.Comput.Sci] Scene Text Detection and
Handwritten Text Recognition (OCR) with MXNet Gluon These notebooks have been created by Jonathan Chung, as part of his internship as Applied Scientis
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
DeRPN: Taking a further step toward more general object detection DeRPN is a novel region proposal network which concentrates on improving the adaptiv
OCR-Tool It is a image ocr tool made in Python using the Tesseract-OCR engine with the pytesseract package and has a GUI. This is my second ever pytho
EasyOCR Ready-to-use OCR with 80+ languages supported including Chinese, Japanese, Korean and Thai. What's new 1 February 2021 - Version 1.2.3 Add set
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