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.
Typefont Typefont is an experimental library that detects the font of a text in a image. Usage Import the main function and invoke it like in the foll
Handprint The Handwritten Page Recognition Test is a command-line program that invokes HTR (handwritten text recognition) services on images of docume
AttentionOCR for Arbitrary-Shaped Scene Text Recognition Introduction This is the ranked No.1 tensorflow based scene text spotting algorithm on ICDAR2
Run the application: python main.py *Note: For first time running the application, create a folder named "output". The application is a simple documen
Handwritten Line Text Recognition using Deep Learning with Tensorflow Description Use Convolutional Recurrent Neural Network to recognize the Handwrit
SEE: Towards Semi-Supervised End-to-End Scene Text Recognition Code for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text
AVP-BEV-OPEN Please check our new work AVP_SLAM_SIM A pkg stiching around view images(4-6cameras) to generate bird's eye view! View Demo · Report Bug
faststyle Faststyle aims to provide an easy and modular interface to Image to Image problems based on feature loss. Install Making sure you have a wor
Boundary Neural Fields Globalization This is the code for Boundary Neural Fields globalization method. The technical report of the method can be found
unproject_text Perspective recovery of text using transformed ellipses. See full writeup at https://mzucker.github.io/2016/10/11/unprojecting-text-wit
The objective of this project is to recognize the target numbers in the captcha images correctly which would tell us how good or bad a captcha system has been built.
hocr-tools About About the code Installation System-wide with pip System-wide from source virtualenv Available Programs hocr-check -- check the hOCR f
play-with-torch Repository for playing the computer vision apps: People analytics on Raspberry Pi. Tools Tested Hardware RasberryPi 4 Model B here, RA
Table of Contents Overview Requirements Demo Modules Overview This python package contains modules to help with finding and extracting tabular data fr
Real-time-Scene-Text-Detection-and-Recognition-System End-to-end pipeline for real-time scene text detection and recognition. The detection model use
Tkinter-OpenCV Project Using Tkinter, Opencv, Mediapipe This is a python GUI program using Tkinter which consist of 4 OpenCV projects 1. Finger Counte
EAST: An Efficient and Accurate Scene Text Detector Description: This version will be updated soon, please pay attention to this work. The motivation
Smart-computer-vision-application Backend : opencv and python Library required:
Deskew //Note: Skew is measured in degrees. Deskewing is a process whereby skew is removed by rotating an image by the same amount as its skew but in
TC2008B Course material for the Multi-agents and computer graphics course. Setup instructions Strongly recommend using a custom conda environment. Ins
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