QRCode Visualizer

About Project

Most QR code reader programs are designed to display the address when a URL is detected in the QR Code data and open web browser when clicked.

This has a problem that it is difficult to represent the actual information of the QR Code.

In this project, we aim to express QR Code in real-time to make the information more accessible to users.

iPhone Camera	QRCode Visualizer

calibration_result.npz: Sample calibration result of Logitech C270
camera_calibration.py: Source code for calibrating camera
LICENSE.txt: License of the project
qrcode_visualizer.py: Main source code of the project
README.md: Description of the project
requirements.txt: List of the python library that requires to run program
assets: Images in readme file
qrcode_samples: Sample QR Codes
- webpage.png: My blog url
- box.png, bunny.png: 3D object url that ends with .xyz (May not work when my web server down)
- paint_1.png, paint_2.png: Text starts with QRV_PAINT
- text.png, text_multiline.png: Just text which not matches any conditions

pip3 install -r requirements.txt

python3 qrcode_visualizer.py

web.mov

You can click rendered web page area to open page in web browser

obj.mov

memo.mov

You can click to draw something on memo qr code

text.mov

You can click rendered text area to open popup

QR Code is 2-dimensional black-white pattern which contains information. It is widely used in representing url, payments, ticket data.
OpenCV has feature that can recognize and decode QR Code.

From camera calibration, we can get camera matrix K and distortion coefficient
So we can calculate camera pose and project points
Render object on projected points
Perspective transform makes image warp to projected points
In memo feature, we can get mouse point coordinate from inversing transform matrix

Distributed under the MIT License. See LICENSE.txt for more information.