CH
chrischoy/segmentation_lecture
Image Segmentation
This repository contains demo codes for Stanford CS231A Introudction to Computer Vision, Lecture 13 Segmentation and Scene Understanding. The demo codes contain various segmentation methods including K-means, Mean Shift, SVM-based segmentaion and Conditional Random Field (CRF) with Mean Field Approximation.
Installation
git clone http://github.com/chrischoy/segmentation_lecture
cd segmentation_lecture
pip install -r requirements.txt
Examples
python kmeans.py
python meanshift.py
python svm.py
python crf.py