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Computer Vision with Python: Worksheets and Assessments

Summary

This repository contains a collection of worksheets and assessments completed as part of the "Computer Vision with Python: Beginners to Advanced" online certification course. Each notebook demonstrates key concepts in image and video processing, detection techniques, and deep learning applications in computer vision. This repo also contains a capstone project, have a look into the file for the instructions.

Key Skills Obtained

  • Image Processing Fundamentals

  • Video Processing: Gained skills in handling and analyzing video data.

  • Detection Techniques: Implemented detection algorithms, including custom detectors for object recognition.

  • Deep Learning for Computer Vision: Applied neural networks and deep learning methods, such as convolutional networks, for advanced image analysis.

  • Segmentation Techniques: Practiced image segmentation, including watershed algorithms with custom seed markers.

Installation

Prequisites

  • Python 3.10.5

  • Anaconda

  • Jupyter lab

  • cv2

Future versions

  • Adding more projects

    Would add other opencv practise projects