Image Thresholding is used for image segmentation. From a grayscale image, thresholding can be used to create binary images. In thresholding we pick a threshold T.
Pixels above threshold get new intensity A.
Pixels above threshold get new intensity B.
In Thresholding, pixels that are alike in gray scale(or in some other feature) are grouped together.
A simple digital image processing technique of segmenting images into grayscale and binary images.
Nested-Co-teaching ([email protected]) Pytorch implementation of paper "Boosting Co-tea
RepMLP RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition Released the code of RepMLP together with an example o
Virtual Keyboard With the virtual keyboard, you can write on the real time images by combining the thumb and index fingers on the letter you want. At
AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss This is an unofficial implementation of AutoVC based on the official one. The reposi
CodeSquad PS1 Solution for Problem Statement 1 for AIDL 2020 conducted by @unifynd technologies. Problem Given images of bills/invoices, the task was
What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis | paper | training and evaluation data | failure cases and cle
BoxToolBox is a simple python application built around the openCV library. It is not a full featured application to guide you through the w
✨ NSFW Classifier API ✨ Rest API Written In Python To Classify NSFW Images. Fastest Solution If you don't want to selfhost it, there's already an inst
GTA-5-Lane-detection Just a script for detecting the lanes in any car game (not just gta 5) with specific resolution and road design ( very basic and
R2CNN: Rotational Region CNN for Orientation Robust Scene Text Detection Abstract This is a caffe re-implementation of R2CNN: Rotational Region CNN fo
ZeroCLUE 零样本学习测评基准，中文版 零样本学习是AI识别方法之一。 简单来说就是识别从未见过的数据类别，即训练的分类器不仅仅能够识别出训练集中已有的数据类别， 还可以对于来自未见过的类别的数据进行区分。 这是一个很有用的功能，使得计算机能够具有知识迁移的能力，并无需任何训练数据， 很符合现
Handwritten Text Recognition (OCR) with MXNet Gluon These notebooks have been created by Jonathan Chung, as part of his internship as Applied Scientis
Scene-Referred Image Collection A collection of OpenEXR Scene-Referred images, encoded as max 2048px width, DWAA 80 compression. All exrs are encoded
EAST: An Efficient and Accurate Scene Text Detector Introduction This is a tensorflow re-implementation of EAST: An Efficient and Accurate Scene Text
SecurityCam A simple python program to record security cam footage by detecting a face and body of a person in the frame. This code was created by me,
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
Attention-OCR Authours: Qi Guo and Yuntian Deng Visual Attention based OCR. The model first runs a sliding CNN on the image (images are resized to hei
page_dewarp Page dewarping and thresholding using a "cubic sheet" model - see full writeup at https://mzucker.github.io/2016/08/15/page-dewarping.html
Requirements: Python 3 (probably at least 3.4) pipenv (pip3 install pipenv) tesseract (brew install tesseract, at least if you have a mac and homebrew
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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