cluster(fingerprints[, sim, timestamps, …]) |
Hierarchical clustering of images based on image fingerprints, optionally scaled by time distance (alpha). |
cluster_stats(clusters) |
Count clusters of different sizes. |
fingerprint(image, model) |
Run image array (3d array) run through model (keras.models.Model). |
fingerprints(images, model) |
Calculate fingerprints for all image arrays in images. |
get_model([layer]) |
Keras Model of the VGG16 network, with the output layer set to layer. |
pca(fingerprints[, n_components]) |
PCA of fingerprints for dimensionality reduction. |
print_cluster_stats(clusters) |
Print cluster stats. |
