OpenCV Vision Algorithms
Guide to KNN, SVM, K-Means, Decision Trees, and HOG+SVM classification.
Topics Covered
- KNN - K-Nearest Neighbors classification
- SVM - Support Vector Machines
- K-Means - Clustering and image segmentation
- Decision Trees - Tree-based classification
- HOG+SVM - Pedestrian detection pipeline
Tutorial Files
| File | Description |
|---|---|
01_ml_basics.py |
KNN, SVM, K-Means, Decision Trees fundamentals |
02_digit_recognition.py |
Handwritten digit classification with real data |
03_hog_svm.py |
HOG features + SVM for pedestrian detection |
04_kmeans_segmentation.py |
Image segmentation using K-Means clustering |