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CamScanner Object for Images - Machine Learning Project Welcome to Day 3 of my machine learning journey! ๐Ÿš€ In this project, I've developed a CamScanner Object for images using Jupyter Notebook and explored powerful libraries like NumPy, Matplotlib, and OpenCV. ๐Ÿ“ธ

Project Overview: This project focuses on transforming images into high-quality scanned documents. Leveraging various image processing techniques, I've implemented functionalities such as image resizing, shaping, edge detection, and contour extraction.

Technologies Used:

Python ๐Ÿ Jupyter Notebook ๐Ÿ“’ NumPy ๐Ÿงฎ Matplotlib ๐Ÿ“Š OpenCV ๐Ÿ–ผ๏ธ

Project Highlights: Image Resizing and Shaping: Efficiently prepare images for processing. Edge Detection: Detecting edges to enhance document features. Contour Extraction: Identifying and extracting contours for precise document boundaries.

Dependencies Installation: pip install numpy matplotlib opencv-python

Project Structure: CamScanner_Object.ipynb: Jupyter Notebook containing the project code. images/: Folder to store input and output images.

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opencv project (machine learning)

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