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Title: Resolving Overlapped Coordinates Issue in Bounding Boxes with Python-Tesseract
Introduction:
Bounding boxes play a crucial role in computer vision tasks, providing the spatial location of recognized symbols or objects within an image. Python-Tesseract is a powerful Optical Character Recognition (OCR) library that can be used to extract text and symbols from images. However, users often encounter challenges with bounding boxes, especially when symbols overlap, resulting in incorrect or distorted coordinates.
In this tutorial, we'll explore how to address the issue of overlapped coordinates in bounding boxes when working with Python-Tesseract. We'll provide a step-by-step guide along with a code example to help you implement a solution.
Prerequisites:
Before proceeding, ensure that you have Python and the necessary libraries installed. You can install Python-Tesseract and the Pillow library using the following commands:
Step 1: Import Libraries
Start by importing the required libraries:
Step 2: Load the Image
Load the image using the Pillow library:
Step 3: Extract Text with Bounding Boxes
Use Python-Tesseract to extract text and bounding boxes from the image:
Step 4: Resolve Overlapped Coordinates
Now, we'll implement a solution to handle overlapping bounding boxes. We'll iterate through the results and adjust the coordinates accordingly:
Adjust the coordinates based on your specific needs. The example above increases the width and height by 5 pixels, but you may need a different strategy depending on your application.
Conclusion:
By following this tutorial, you should be able to resolve the issue of overlapped coordinates in bounding boxes when using Python-Tesseract. Adjust the code according to your specific requirements and experiment with different strategies to achieve optimal results in handling overlapping symbols.
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Title: Dealing with Wrong (Overlapped) Coordinates in Bounding Boxes of Recognized Symbols using Python-Tesseract
Python-Tesseract is a powerful OCR (Optical Character Recognition) tool that allows developers to extract text from images. One essential aspect of OCR is the ability to accurately locate and highlight recognized symbols using bounding boxes. However, in some cases, the coordinates provided by Tesseract may be inaccurate, especially when symbols overlap. This tutorial will guide you through the process of handling wrong or overlapped coordinates in bounding boxes when working with Python-Tesseract.
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