def estimateNormal(A_8U):
h, w = A_8U.shape
N0_32F = computeSilhouetteNormal(A_8U)
A, b = normalConstraints(A_8U, N0_32F)
N_flat = solveMG(A, b)
N_flat = normalizeVectors(N_flat)
N_32F = N_flat.reshape(h, w, 3)
return N0_32F, N_32F
def estimateNormal(A_8U):
h, w = A_8U.shape
N0_32F = computeSilhouetteNormal(A_8U)
A, b = normalConstraints(A_8U, N0_32F)
N_flat = solveMG(A, b)
N_flat = normalizeVectors(N_flat)
N_32F = N_flat.reshape(h, w, 3)
return N0_32F, N_32F
def normalizeImage(N_32F):
N_flat = N_32F.reshape((-1, 3))
N_flat_normalized = normalizeVectors(N_flat)
N_32F_normalized = N_flat_normalized.reshape(N_32F.shape)
return N_32F_normalized