Summer Semester 2026 - FH Upper Austria
Jupyter notebooks with exercises and code examples for the Computer Vision (CVI4IC) course.
| # | Topic | Colab |
|---|---|---|
| 01 | Introduction to Computer Vision |  |
| 02 | Image Representation & Color Spaces | |
| 03 | Image Filtering & Frequency Analysis | |
| 04 | Edge Detection & Feature Detection | |
| 05 | Image Stitching & Homographies | |
More sessions will be added as the course progresses.
# Create a virtual environment (recommended)
python -m venv venv
source venv/bin/activate # Linux/macOS
venv\Scripts\activate # Windows
# Install dependencies
pip install -r requirements.txt
# Launch Jupyter
jupyter notebook- Python 3.10+
- OpenCV, NumPy, Matplotlib (all sessions)
- PyTorch & torchvision (sessions 07-12)
- Ultralytics (session 09, optional)