Introduction to Computer Vision 🚀

Welcome to the Intro to Computer Vision repository! Dive into the exciting world of image processing, feature extraction, and neural networks while building hands-on projects and exercises.

---

🔍 What's Inside?

• Exercises: Step-by-step coding challenges to master core concepts.
• Lectures: Slides and notes to complement your learning.
• Resources: Datasets, additional readings, and tools to explore.

---

📂 Repository Structure

.
├── ex1/            # Exercise 1: Basic image processing
│   ├── data/       # Example datasets for image manipulation
│   └── scripts/    # Python scripts for the exercise
├── ex2/            # Exercise 2: Feature detection
├── lectures/       # Lecture slides and supplementary materials
├── resources/      # Additional learning resources
├── README.md       # You’re here!
└── requirements.txt # Python dependencies

---

🛠️ Setup & Installation

Requirements:

• Python 3.8+
• pip (Python package manager)
• Basic understanding of programming

Get Started:

1. Clone the repo:

   git clone git@github.com:your-username/intro_to_cv.git
   cd intro_to_cv

2. Set up a virtual environment:

   python3 -m venv venv

3. Activate it:
   • macOS/Linux: source venv/bin/activate
   • Windows: venv\Scripts\activate
4. Install dependencies:

   pip install -r requirements.txt

---

🧠 Topics Covered

• Image Processing Basics: Resizing, filtering, and transformations
• Feature Detection: Keypoints and matching
• Deep Learning for Vision: Convolutional Neural Networks (CNNs)
• Real-World Applications: Object detection, segmentation, and more

---

⚡ How to Use

1. Navigate to an exercise directory:

   cd ex1/scripts

2. Run the script:

   python main.py

---

📖 Learning Resources

• OpenCV Docs
• Deep Learning with Python
• CS231n: Convolutional Neural Networks for Visual Recognition

---

🤝 Contributions Welcome!

Got ideas or improvements? Fork this repo, create a branch, and submit a pull request! Contributions keep the learning going. 🙌

---

📜 License

This repository is for educational purposes only. Respect intellectual property when using external resources.

---

Level up your skills in computer vision—one image at a time. 🖼️✨