Unsupervised Face Clustering in Raspberry Pi

Captures Video from camera and detects faces (if any). It then reduces the dimensionality using Stacked Autoencoder. This new reduced set is then clustered using k-means clustering. It is implemented in Python.

Name		Name	Last commit message	Last commit date
Latest commit History 14 Commits
face_cluster		face_cluster
models		models
new_data		new_data
README.md		README.md
autoencoder.py		autoencoder.py
capture_detect_face.py		capture_detect_face.py
capture_video.py		capture_video.py
clustering.py		clustering.py
clustering.py.bak		clustering.py.bak
clustering_v0.py		clustering_v0.py
detect_face.py		detect_face.py
find_pca.py		find_pca.py
logistic_sgd.py		logistic_sgd.py
mlp.py		mlp.py
run.log		run.log
stacked_autoencoder.py		stacked_autoencoder.py

mainak124/face_clustering

Folders and files

Latest commit

History

Repository files navigation

Unsupervised Face Clustering in Raspberry Pi

About

Resources

Stars

Watchers

Forks

Languages