import numpy as np
import densecrf as dcrf

# d = densecrf.PyDenseCRF2D(3, 2, 3)
# U = np.full((3,6), 0.1, dtype=np.float32)
# U[0,0] = U[1,1] = U[2,2] = U[0,3] = U[1,4] = U[2,5] = 0.8

d = dcrf.DenseCRF2D(10, 10, 2)

U1 = np.zeros((10, 10), dtype=np.float32)
U1[:,[0,-1]] = U1[[0,-1],:] = 1

U2 = np.zeros((10, 10), dtype=np.float32)
U2[4:7,4:7] = 1

U = np.vstack([U1.flat, U2.flat])
Up = (U + 1) / (np.sum(U, axis=0) + 2)

img = np.zeros((10,10,3), dtype=np.uint8)
img[2:8,2:8,:] = 255

# d.setUnaryEnergy(-np.log(Up))
# d.setUnaryEnergy(PyConstUnary(-np.log(Up)))

# d.addPairwiseBilateral(2, 2, img, 3)
# d.addPairwiseBilateral(2, 2, img, 3)
# np.argmax(d.inference(10), axis=0).reshape(10,10)
