Evaluate OMR sheets fast and accurately using a scanner 🖨 or your phone 🤳.
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Updated
Nov 4, 2024 - Python
Evaluate OMR sheets fast and accurately using a scanner 🖨 or your phone 🤳.
Orchestra is a sheet music reader (optical music recognition (OMR) system) that converts sheet music to a machine-readable version.
An android application for validating images of OMR sheets before they are sent for processing.
Open source optical mark recognition (OMR) software for creating, tagging and reading bubble sheet forms. For Windows, Mac & Linux.
Orchestra is a sheet music reader (optical music recognition (OMR) system) that converts sheet music to a machine-readable version.
Theia OMR Scanner is a openCV based Optical Mark Reader (OMR) application for pre-designed and customizable MCQ bubble sheets. IIt's GUI provide a readymade bubble sheet to be used in educational institutes.
A Complete Package for Processing OMR Answer Sheet
Optical Music Reader (OMR) for Parsing horizontally aligned music score sheets. Translation by Generating ABC annotation with a Music playback in a .wav format. Parsing tilted music sheets and Parsing complex music sheets.
A small example of reading OMR marksheet and generate percentage using OpenCV and Python
OMR Reader using python. The output will be stored in a excel file
License file generator for the commercial version of FormReturn (versions 1.7.4 and lower). For use by customers who purchased a license for the non-open source version of FormReturn.
Es una aplicación de Python que automatiza el proceso de calificación de exámenes utilizando OpenCV
OMR System which converts images of musical sheets and notes into readable text that both humans and computers can understand
This repo contain template and source code for optical mark recognition using python opencv library
Open-source, OMR Testing Software. Build your school's own custom answer sheets and grade them! LiveTest's dynamic OMR grader can handle all different lengths of tests and choices. Replace fonts, logos, adjust placements, etc. This research is in partial fulfillment of the M.S Computer Science @ MSU Texas by Garrett Mathers with Professor Griffin
A Computer Vision based project using OpenCV to automatically scan and evaluate OMR answer sheets. The project is implemented as a web application using the Python based framework Flask as the backend.
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