OpenCV Practice Projects (Python)

Welcome to my personal OpenCV practice repository! This project is part of my journey to master computer vision using OpenCV and Python.

I am practicing daily to build a strong foundation in computer vision, which is a core part of my field of interest. This hands-on learning approach helps me understand how image and video data is processed, analyzed, and used in real-world AI and automation applications.

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Objective

• To master OpenCV for Computer Vision tasks.
• Build hands-on skills through daily coding practice.
• Understand how OpenCV handles images, videos, and object detection.
• Prepare myself for real-world applications like face recognition, object tracking, and AI automation.

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Project Structure (Day-by-Day Practice)

Day	Topics Covered
Day 01	Basic image operations (read, display, write)
Day 02	Image transformation (resize, flip, rotate, crop)
Day 03	Drawing shapes and text on images
Day 04	Real-time video capture and saving
Day 05	Image blurring and smoothing techniques
Day 06	Edge detection using Canny and image thresholding
Day 07	(Custom or reserved for new concepts)
Day 08	Contour detection and analysis
Day 09	Face, eye, and smile detection using Haar cascade classifiers

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Highlights

• Face detection using pre-trained Haar cascades
• Image processing with OpenCV’s powerful built-in functions
• Real-time video feed handling and object tracking
• Clear day-by-day structured progression
• Consistent and self-motivated daily practice

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Requirements

Make sure you have Python and OpenCV installed:

pip install opencv-python



# OpenCV Daily Practice – Computer Vision Journey

## How to Run

Clone the repository:

```bash
git clone https://github.com/Adeel-Khan11/Opencv_practise.git
cd Opencv_practise

Navigate into any day's folder and run the relevant Python file.
Example for face detection:

cd "day 09"
python face_object_detection.py

Follow the terminal menu for mode selection (face only, face + eyes, face + eyes + smile).

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Haar Cascades

These XML files are used for object detection in Day 09:

• haarcascade_frontalface_default.xml
• haarcascade_eye.xml
• haarcascade_smile.xml

All are pre-trained classifiers provided by OpenCV.

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My Learning Journey

I created this repository to:

• Reinforce my concepts through consistent daily practice
• Work toward becoming skilled in AI-powered computer vision
• Build a strong portfolio that reflects my hands-on experience
• Prepare for future projects, internships, and jobs involving OpenCV, AI, and ML

Whether it's for academic, professional, or personal growth — I'm using this as a building block for more advanced AI systems.

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License

This repository is open-source and free to use under the MIT License.
Feel free to use the code for learning, practicing, or improving your own skills.

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About Me

Name: Adeel Khan
Goal: Master Computer Vision for AI/ML career
Location: Pakistan
GitHub: @Adeel-Khan11 LinkedIn: Connect with me

Feel free to open an issue if you have questions, suggestions, or want to collaborate.

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Support and Feedback

If you find this helpful:

• Star the repository
• Fork and explore
• Share suggestions or corrections
• Contribute if you'd like

Thank you for visiting. I’m working hard every day to become better at computer vision, and this repository documents that learning journey.