Esempio n. 1
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def computeNz(N):
    Nx, Ny = N[:, 0], N[:, 1]

    Nxy_sq = l2NormVectors(Nx) + l2NormVectors(Ny)
    Nz_sq = 1.0 - Nxy_sq
    Nz_sq = np.clip(Nz_sq, 0.0, 1.0)
    Nz = np.sqrt(Nz_sq)
    Nz = np.clip(Nz, 0.0, 1.0)

    N_new = np.array(N)
    N_new[:, 2] = Nz
    return N_new
def NxyToNz(N_32F):
    N = N_32F.reshape(-1, 3)
    Nx, Ny = N[:, 0], N[:, 1]

    Nxy_sq = l2NormVectors(Nx) + l2NormVectors(Ny)
    Nz_sq = 1.0 - Nxy_sq
    Nz_sq = np.clip(Nz_sq, 0.0, 1.0)
    Nz = np.sqrt(Nz_sq)
    Nz = np.clip(Nz, 0.0, 1.0)

    N_new = np.array(N)
    N_new[:, 2] = Nz
    return N_new.reshape(N_32F.shape)
def NxyToNz(N_32F):
    N = N_32F.reshape(-1, 3)
    Nx, Ny = N[:, 0], N[:, 1]

    Nxy_sq = l2NormVectors(Nx) + l2NormVectors(Ny)
    Nz_sq = 1.0 - Nxy_sq
    Nz_sq = np.clip(Nz_sq, 0.0, 1.0)
    Nz = np.sqrt(Nz_sq)
    Nz = np.clip(Nz, 0.0, 1.0)

    N_new = np.array(N)
    N_new[:, 2] = Nz
    return N_new.reshape(N_32F.shape)