import numpy as np
import matplotlib.pyplot as plt
from matplotlib.gridspec import GridSpec

import utils

import pca
import pixel_spectra

from sklearn.decomposition import PCA, FastICA

size = 512

# pca.pca(2, size, size, method="sparse", alpha=1000)
# pca.pca(2, size, size, method="kernel", kernel='poly', scale=True)
# pca.pca(2, size, size, method="ica", scale=False)
# pca.pca_cluster(3, 4, size, size, scale=False, cluster_method="kmeans")
sliders = pca.pca(2, size, size, scale=False, sliders=True)
sliders = pca.pca(2, size, size, scale=False, sliders=True, selected=[17, 7])

# kmeans.kmeans(8, 128, 128)

# pixel_spectra.pixel_spectra(100)

# slideshow.slideshow()

plt.show()