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