Python 如何将实验室颜色空间更改为RGB 0-255
我有实验室数据集:val_Lab_2,如下所示:Python 如何将实验室颜色空间更改为RGB 0-255,python,opencv,matplotlib,computer-vision,colormath,Python,Opencv,Matplotlib,Computer Vision,Colormath,我有实验室数据集:val_Lab_2,如下所示: [[ 7.803e+01 3.100e-01 1.382e+01] [ 6.697e+01 -7.400e+00 2.750e+01] [ 5.631e+01 -1.804e+01 1.599e+01] [ 6.701e+01 2.650e+00 2.913e+01] [ 6.564e+01 1.660e+00 2.540e+01] [ 3.537e+01 2.050e+01 3.784e+01] [ 4.178e
[[ 7.803e+01 3.100e-01 1.382e+01]
[ 6.697e+01 -7.400e+00 2.750e+01]
[ 5.631e+01 -1.804e+01 1.599e+01]
[ 6.701e+01 2.650e+00 2.913e+01]
[ 6.564e+01 1.660e+00 2.540e+01]
[ 3.537e+01 2.050e+01 3.784e+01]
[ 4.178e+01 2.251e+01 4.438e+01]
[ 6.129e+01 1.261e+01 5.934e+01]
[ 4.269e+01 5.120e+00 4.995e+01]...]
我想将其更改为RGB 0-255,因此我使用colormath软件包:
import numpy as np
import pandas as pd
from colormath.color_objects import sRGBColor, XYZColor, LabColor
from colormath.color_conversions import convert_color
val_rgb_2 = []
for lab_list in val_lab_2:
lab = LabColor(*[component for component in lab_list])
rgb = convert_color(lab, sRGBColor)
rgb_list = [255*color for color in rgb.get_value_tuple()]
val_rgb_2.append(rgb_list)
val_rgb_2 = np.array(val_rgb_2)
print(val_rgb_2)
结果表明:
[[201.44003158 192.14717152 167.2643737 ]
[163.51015463 166.15931613 112.52909259]
[109.8451797 143.64817993 106.17872676]
[181.45664244 160.44644464 110.27374654]
[174.70091435 157.51328159 113.65978481]
[122.18753543 69.26114552 19.79086107]
[143.2650315 82.85139354 20.50673141]
[187.60706038 138.48640317 31.06087929]...]
然而,我认为这是不正确的,因为我有一个标签,前几行显示它应该是:
天然白色100%羊毛、蓝紫色花朵、蓝色花朵、花朵、整株植物、果皮、果皮、果皮……我建议您使用此功能:
- 插入
值LAB
- 检查网站提供给您的
值RGB
- 检查与插入的
/LAB
相关的颜色RGB
例如,让我们尝试上面列表的第二个元素,它应该标记为蓝紫色的花: 转换是正确的;我对标签有一些疑问
[ 6.697e+01 -7.400e+00 2.750e+01]