How can visualize 5 channel of image one by one?

Question

I have a numpy array which dimension is (5, 3024, 4032) and data type float64. It is a 5 channel image and my question is: how can I visualize each channel one by one?

My input:

data_gt = np.load('220200803_174029.npy')
data_gt.shape
# (5, 3024, 4032)


data_gt.dtype
# dtype('float64')

It's sometimes neat to apprnd your 5 images side-by-side across the screen and view simultaneously. You can use `np.hstack((CHANNEL0,CHANNEL1...CHANNEL4))` to try it. — Mark Setchell, Dec 19 '22 at 10:28
Does this work for you ? -> https://stackoverflow.com/questions/41500637/how-to-extract-r-g-b-values-with-numpy-into-seperate-arrays — nick, Dec 19 '22 at 12:14

score 1 · Answer 1 · answered Dec 19 '22 at 10:18

1

import numpy as np
from matplotlib import pyplot as plt

data_gt = np.load('220200803_174029.npy') 
for i, channel in enumerate(data_gt):
   plt.title("channel %i"%(i+1))
   plt.imshow(channel, cmap="Greys", vmin=data_gt.min(), vmax=data_gt.max())
   plt.show()

answered Dec 19 '22 at 10:18

Salvatore Daniele Bianco

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No, it's not working as it has an error which is 'ValueError: Cannot load file containing pickled data when allow_pickle=False'. – Asifuzzaman Jishan Dec 19 '22 at 10:26
@AsifuzzamanJishan I used you input. You have not specified `220200803_174029.npy` was a pickle file... Try using `allaw_pickle=True`, as the error suggests. – Salvatore Daniele Bianco Dec 19 '22 at 10:28

How can visualize 5 channel of image one by one?

1 Answers1