用于检验的网站：颜色空间转换 - 在线工具 (buyaocha.com) 

单个输入

import numpy as npdef rgb_to_xyz(rgb):# 将RGB值转换为XYZ空间rgb = np.array(rgb) / 255.0rgb = np.where(rgb <= 0.04045, rgb / 12.92, ((rgb + 0.055) / 1.055) ** 2.4)rgb = rgb.reshape((1, 1, 3))m = np.array([[0.4124564, 0.3575761, 0.1804375],[0.2126729, 0.7151522, 0.0721750],[0.0193339, 0.1191920, 0.9503041]])xyz = np.dot(rgb, m.T)return xyzdef xyz_to_lab(xyz):# 将XYZ值转换为Lab空间xyz_ref = np.array([0.950456, 1.0, 1.088754])xyz_ratio = xyz / xyz_refxyz_ratio = np.where(xyz_ratio > 0.008856, xyz_ratio ** (1/3), (903.3 * xyz_ratio + 16) / 116)lab = np.zeros_like(xyz)lab[..., 0] = np.clip(116 * xyz_ratio[..., 1] - 16, 0, 100)lab[..., 1] = (xyz_ratio[..., 0] - xyz_ratio[..., 1]) * 500lab[..., 2] = (xyz_ratio[..., 1] - xyz_ratio[..., 2]) * 200return labdef rgb_to_lab(rgb):xyz = rgb_to_xyz(rgb)lab = xyz_to_lab(xyz)return lab# 输入RGB颜色值
rgb_color = [255, 0, 0]  # 例如，红色# 转换为Lab颜色
lab_color = rgb_to_lab(rgb_color)# 打印结果
print("RGB颜色:", rgb_color)
print("Lab颜色:", lab_color)

 excel输入

excel大概长这样：

R_mean	G_mean	B_mean	Label
221.5	172.75	190	0
220.75	164	193.75	0
244.75	179	195.75	0
246.75	172.75	196.75	0
245	148.5	172.25	0

import pandas as pd
import numpy as npdef rgb_to_lab(rgb):# 将RGB值转换为Lab空间rgb = np.array(rgb) / 255.0rgb = np.where(rgb <= 0.04045, rgb / 12.92, ((rgb + 0.055) / 1.055) ** 2.4)m = np.array([[0.4124564, 0.3575761, 0.1804375],[0.2126729, 0.7151522, 0.0721750],[0.0193339, 0.1191920, 0.9503041]])xyz = np.dot(rgb, m.T)xyz_ref = np.array([0.950456, 1.0, 1.088754])xyz_ratio = xyz / xyz_refxyz_ratio = np.where(xyz_ratio > 0.008856, xyz_ratio ** (1 / 3), (903.3 * xyz_ratio + 16) / 116)lab = np.zeros_like(xyz_ratio)lab[..., 0] = np.clip(116 * xyz_ratio[..., 1] - 16, 0, 100)lab[..., 1] = (xyz_ratio[..., 0] - xyz_ratio[..., 1]) * 500lab[..., 2] = (xyz_ratio[..., 1] - xyz_ratio[..., 2]) * 200return lab# 读取Excel文件
excel_file_path = './exel/data_all.xlsx'  # 输入地址
df = pd.read_excel(excel_file_path)# 转换RGB到Lab，并添加到DataFrame
lab_values = df[['R_mean', 'G_mean', 'B_mean']].apply(lambda row: rgb_to_lab(row), axis=1)
df[['Lab_L', 'Lab_a', 'Lab_b']] = pd.DataFrame(lab_values.tolist(), index=df.index)# 保存结果回Excel文件
output_excel_path = './exel/CIE Lab/data_all_lab.xlsx'  # 输出地址
df.to_excel(output_excel_path, index=False)print("转换完成，Lab值保存在", output_excel_path)