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I've been looking at https://github.com/spmallick/learnopencv/tree/master/QRCode-OpenCV
but this just takes an image as an input. I wasn't sure if I could use a frame from the camera and quickly continue to scan each frame until its recognized. This is the ideal implementation, but I don't see the code for it https://www.learnopencv.com/barcode-and-qr-code-scanner-using-zbar-and-opencv/ .
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The source code for ZBall is available in an .exe installer file or inside a compressed 'tar' format file (similar to a zip file) that must be unpacked with a program that can read and extract tar files to get access to its contents.
To get the code via the installer, left-click on the green 'Download' button at the top of the page linked to below to launch a download of a file called 'zbar-0.10-setup.exe' in your browser. Run the file when download is completed.
https://sourceforge.net/projects/zbar/
To get the source code as a tar file, launch a download of the tar file in your browser by visiting the link below. The download will launch automatically in your browser when the link is left-clicked on.
https://sourceforge.net/projects/zbar/files/zbar/0.10/zbar-0.10.tar.bz2/download
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The source code for ZBall is available in an .exe installer file or inside a compressed 'tar' format file (similar to a zip file) that must be unpacked with a program that can read and extract tar files to get access to its contents.
To get the code via the installer, left-click on the green 'Download' button at the top of the page linked to below to launch a download of a file called 'zbar-0.10-setup.exe' in your browser. Run the file when download is completed.
https://sourceforge.net/projects/zbar/
To get the source code as a tar file, launch a download of the tar file in your browser by visiting the link below. The download will launch automatically in your browser when the link is left-clicked on.
https://sourceforge.net/projects/zbar/files/zbar/0.10/zbar-0.10.tar.bz2/download
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I ended up using pyzbar to accomplish this, worked really well thanks!
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Awesome news, thanks so much for the update! :)

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