How to Build a Document Scanner Using U-Net Pretrained Model

Mar 8, 2024 | Educational

Are you looking to create an efficient document scanner? Look no further! In this article, we’ll explore how to set up a document scanner using the U-Net pretrained model for scene document detection. We’ll guide you through the steps in a user-friendly manner, and offer troubleshooting tips along the way.

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Dependencies

To get started, we need to install some dependencies and download model weights. Follow these steps:

$ pip install -r requirements.txt

Now, download the model weights from Here, and place it in the correct structure.

Usage

Once you have set up the dependencies, it’s time to use the scanner. The following steps describe the process:

scanner = Scanner('StructureScanner-Detector.pth', config_)

First, load the model. Next, read and process your document image:

org = cv2.imread(fname)
org_gray = cv2.cvtColor(org, cv2.COLOR_RGB2GRAY)
org_resize = cv2.resize(org_gray, (256, 256), interpolation = cv2.INTER_AREA)

In these lines, we read the image in grayscale and resize it to 256×256 pixels. Imagine this like preparing a recipe by chopping all your ingredients to a uniform size before mixing them together for the best results.

Now, let’s detect the document area:

mask = scanner.ScanView(org_resize)

Next, we extract the document and draw a bounding box around it:

paper, approx = ExtractPaper(org_gray, mask)
org = DrawBox(org, approx)

Finally, enhance the extracted document:

paper = EnhancePaper(paper)

Troubleshooting

If you encounter any issues during the setup or usage of your document scanner, here are some troubleshooting ideas:

  • Ensure that the dependencies are installed correctly; use the pip command again to confirm.
  • Check the model weights file is in the correct directory and has the right permissions.
  • Verify that the image files you are using are supported and correctly formatted.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Once you’ve followed these steps, you should be up and running, enjoying your newly built document scanner!

Conclusion

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

With these instructions, you can successfully build your document scanner and troubleshoot any issues that arise. Let your creativity flow and enjoy the magic of AI in action!

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