A notebook for analyzing visual data through computer vision and machine learning techniques.
The IVA.ipynb notebook contains a collection of Image and Video Analytics (IVA) operations using Python libraries such as OpenCV, NumPy, and possibly scikit-learn or TensorFlow. It processes visual input (images or videos) to extract meaningful insights frame by frame or pixel by pixel.
- ✅ Reading and processing image/video files
- 📸 Frame extraction from video streams
- 🔍 Object or motion detection
- 🧠 Rule-based and/or ML-based decision-making
- 📉 Visualization of results with bounding boxes, labels, or overlays
- 💾 Exporting processed frames or data
- Python
- OpenCV – for image/video processing
- NumPy – numerical operations
- Matplotlib – result visualization