我有一个CIEXYZ_to_RAW矩阵，它包含将xyz坐标转换为原始rgb值的值。我必须找到原色和白色的坐标。

CIEXYZ_to_RAW = [[ 0.902  -0.289  -0.0715],
 [-0.4535  1.2436  0.2348],
 [-0.0934  0.1919  0.7086]]

Camera white balance coefficients: [0.59967933 1.06821928 1.92359299]

我有这个，但它没有给予我正确的结果：

CIEXYZ_r = np.array([1, 0, 0])   # Rood
CIEXYZ_g = np.array([0, 1, 0])   # Groen
CIEXYZ_b = np.array([0, 0, 1])   # Blauw
CIEXYZ_w = np.array([1/3, 1/3, 1/3])  # whitepoint

# calculate the RGB-values of the three primary colors and the whitepoint
RAW_r = np.dot(CIEXYZ_to_RAW, CIEXYZ_r)
RAW_g = np.dot(CIEXYZ_to_RAW, CIEXYZ_g)
RAW_b = np.dot(CIEXYZ_to_RAW, CIEXYZ_b)
RAW_w = np.dot(CIEXYZ_to_RAW, CIEXYZ_w)

# use the white balance coefficients
RAW_r *= camera_wb_coeff
RAW_g *= camera_wb_coeff
RAW_b *= camera_wb_coeff
RAW_w *= camera_wb_coeff

# normalise the RGB-values 
RAW_r /= RAW_w.sum()
RAW_g /= RAW_w.sum()
RAW_b /= RAW_w.sum()
RAW_w /= RAW_w.sum()

# Convert the RGB-values to the xy-coordinates
RAW_r_xy = RAW_r[:2] / RAW_r.sum()
RAW_g_xy = RAW_g[:2] / RAW_g.sum()
RAW_b_xy = RAW_b[:2] / RAW_b.sum()
RAW_w_xy = RAW_w[:2] / RAW_w.sum()