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Extract and interpret QR codes from images with advanced image processing for AI artists' decoding needs.
The LayerUtility: DecodeQRCode node is designed to extract and interpret QR codes from images, making it a valuable tool for AI artists who need to decode embedded information within their visual projects. This node leverages advanced image processing techniques to accurately read QR codes, even from images that may be slightly blurred or noisy. By automating the decoding process, it saves time and ensures precision, allowing you to focus on the creative aspects of your work. Whether you are working with digital art, graphic design, or any other visual medium, this node simplifies the task of retrieving encoded data from QR codes, enhancing your workflow efficiency.
This parameter expects an image input that contains the QR code you wish to decode. The image should be in a format that the node can process, typically a tensor representation of the image. The quality and clarity of the image can impact the accuracy of the QR code decoding.
This integer parameter allows you to apply a Gaussian blur to the image before attempting to decode the QR code. The purpose of this is to reduce noise and improve the readability of the QR code. The value can range from 0 to 16, with a default value of 2. Setting this parameter to 0 means no blur will be applied, while higher values increase the blur effect.
This output parameter returns the decoded text from the QR code as a string. If the QR code is successfully read, the string will contain the encoded message. If the QR code cannot be recognized, the output will be "Cannot recognize QR". This output is crucial for retrieving the information embedded within the QR code.
pre_blur
parameter if the QR code is not being recognized; sometimes a slight blur can help reduce noise and enhance readability.pre_blur
parameter to see if a different blur level improves recognition. Additionally, verify that the QR code is not damaged or distorted.© Copyright 2024 RunComfy. All Rights Reserved.