在python中显示rgb矩阵图像
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display an rgb matrix image in python
提问by user3320033
I have an rgb matrix something like this:
我有一个像这样的 rgb 矩阵：
image=[[(12,14,15),(23,45,56),(,45,56,78),(93,45,67)],
[(r,g,b),(r,g,b),(r,g,b),(r,g,b)],
[(r,g,b),(r,g,b),(r,g,b),(r,g,b)],
..........,
[()()()()]
]
i want to display an image which contains the above matrix.
我想显示包含上述矩阵的图像。
I used this function to display a gray-scale image:
我用这个函数来显示灰度图像：
def displayImage(image):
displayList=numpy.array(image).T
im1 = Image.fromarray(displayList)
im1.show()
argument(image)has the matrix
参数（图像）具有矩阵
anybody help me how to display the rgb matrix
任何人都可以帮助我如何显示 rgb 矩阵
回答by slongfield
Matplotlib's built in function imshow will let you do this.
Matplotlib的内置函数 imshow 可以让你做到这一点。
import matplotlib.pyplot as plt
def displayImage(image):
plt.imshow(image)
plt.show()
回答by doug
imshowin the matplotlib library will do the job
matplotlib 库中的imshow将完成这项工作
what's critical is that your NumPy array has the correct shape:
关键是您的 NumPy 数组具有正确的形状：
height x width x 3
高 x 宽 x 3
(or height x width x 4 for RGBA)
（或 RGBA 的高 x 宽 x 4）
>>> import os
>>> # fetching a random png image from my home directory, which has size 258 x 384
>>> img_file = os.path.expanduser("test-1.png")
>>> from scipy import misc
>>> # read this image in as a NumPy array, using imread from scipy.misc
>>> M = misc.imread(img_file)
>>> M.shape # imread imports as RGBA, so the last dimension is the alpha channel
array([258, 384, 4])
>>> # now display the image from the raw NumPy array:
>>> from matplotlib import pyplot as PLT
>>> PLT.imshow(M)
>>> PLT.show()
