Grade exams fast and accurately using a scanner ๐จ or your phone ๐คณ.
TLDR; Jump to Getting Started.
A full-fledged OMR checking software that can read and evaluate OMR sheets scanned at any angle and having any color. Support is also provided for a customisable marking scheme with section-wise marking, bonus questions, etc.
Specs | |
---|---|
๐ฏ Accurate | Currently nearly 100% accurate on good quality document scans; and about 90% accurate on mobile images. |
๐ช๐ฟ Robust | Supports low resolution, xeroxed sheets. See Robustness for more. |
โฉ Fast | Current processing speed without any optimization is 200 OMRs/minute. |
โ Extensible | Easily apply to different OMR layouts, surveys, etc. |
๐ Visually Rich Outputs | Get insights to configure and debug easily. |
๐ Extremely lightweight | Core code size is less than 500 KB(Samples excluded). |
๐ซ Large Scale | Used on tens of thousands of OMRs at Technothlon. |
๐ฉ๐ฟโ๐ป Dev Friendly | Well documented repository based on python and openCV with an active discussion group. |
Note: For solving live challenges, developers can checkout TODOs. See all details in Project Wiki.
Once you configure the OMR layout, just throw images of the sheets at the software; and you'll get back the graded responses in an excel sheet!
Images can be taken from various angles as shown below-
These images will be processed in the following manner:
*Note: This image is generated by the code itself!*
Finally a CSV file will also be generated containing all the responses and scoring
There are many visuals in the wiki. Check them out!
Although windows is supported, Linux is recommended for a bug-free experience.
Note: To get a copy button for below commands, use CodeCopy Chrome | CodeCopy Firefox.
python3 -m pip install --user --upgrade pip
python3 -m pip install --user opencv-python
python3 -m pip install --user opencv-contrib-python
More details on pip install openCV here.
Note: On a fresh computer some of the libraries may get missing in above pip install.
Install them using the following commands: Windows users may skip this step.
sudo apt-get install -y build-essential cmake unzip pkg-config
sudo apt-get install -y libjpeg-dev libpng-dev libtiff-dev
sudo apt-get install -y libavcodec-dev libavformat-dev libswscale-dev libv4l-dev
sudo apt-get install -y libatlas-base-dev gfortran
git clone https://github.com/Udayraj123/OMRChecker
cd OMRChecker/
python3 -m pip install --user -r requirements.txt
Note: If you face a distutils error, use the
--ignore-installed
flag
sudo python3 -m pip install --ignore-installed -r requirements.txt
If you want to try out the default sample, you can directly run:
python3 main.py
- Put your data in inputs folder. You can copy sample data as shown below:
Note: Change the number N in sampleN to see more examples
# Note: remove previous inputs if any with `mv inputs/* ~/.trash` # sample1 is the default sample cp -r ./samples/sample2/* inputs/
- Run OMRChecker:
python3 main.py --noMarkers
See usage guide here.
Note: For subsequent runs, if you don't want the outputs to append to previous results file: Make sure the outputs folder is clean too : rm -rf outputs/
.
- Follow the User Guide to create your own Template Layout.
- Open
globals.py
and play with the parameters (although most of them would need no change ๐) - Run the code with appropriate arguments.
The idea for this project began at Technothlon, which is a non-profit international school championship. After seeing it work fabulously at such a large scale, we decided to share this simple and powerful tool with the world to perhaps help revamp OMR checking processes and help greatly reduce the tediousness of the work involved.
And we believe in the power of open source! Currently, OMRChecker is in its initial stage where only developers can use it. We hope to see it become more user-friendly and even more robust with exposure to different inputs from you!
OMRChecker can be forked and modified. You are encouraged to play with it and we would love to see your own projects in action! The only requirement is disclose usage of this software in your code. It is published under the GPLv3 license
A Huge thanks to : The creative master Adrian Rosebrock for his blog : https://pyimagesearch.com
The legendary Harrison aka sentdex for his video tutorials.
And the james bond of computer vision Satya Mallic for his blog: https://www.learnopencv.com
And many other amazing people over the globe without whom this project would never have completed. Thank you!
This project is dedicated to Technothlon where the idea of making such solution was conceived. Technothlon is a logic-based examination organized by students of IIT Guwahati.
Copyright ยฉ 2019 Udayraj Deshmukh
OMRChecker : Grade exams fast and accurately using a scanner ๐จ or your phone ๐คณ
This is free software, and you are welcome to redistribute it under certain conditions;
Here's a sneak peak of the Android OMR Helper App(WIP):
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Help OMRChecker cross 560 stars โญ to become #1 (Currently #4) on the "OMR" tag on github. Current stars:
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Buy Me A Coffee โ - To keep my brain juices flowing and help me create more such projects ๐ก
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- If this project saved you large costs on OMR Software licenses, or saved efforts to make one.
Find OMRChecker on Product Hunt | Hacker News | Reddit | Swyya