'Python OpenCV - How to save a 5 channel image
I'm using Google Colab with Python 3 and I need to merge 3 images to make a new one with 5 channels, but i get this error:
error: OpenCV(4.1.2) /io/opencv/modules/imgcodecs/src/loadsave.cpp:668: error: (-215:Assertion failed) image.channels() == 1 || image.channels() == 3 || image.channels() == 4 in function 'imwrite_'
I understand that cv2.imwrite
doesn't save a 5 channel image, but how can I do it?
Here is my code:
import numpy as np
import matplotlib.pyplot as plt
import cv2
"""Read each channel into a numpy array.
Of course your data set may not be images yet.
So just load them into 5 different numpy arrays as neccessary"""
imgRGB = cv2.imread("/content/drive/My Drive/teste/LC08_L1TP_222063_20180702_20180716_01_T1_1_3.tif")
b,g,r = cv2.split(imgRGB)
tir = cv2.imread("/content/drive/My Drive/teste/LC08_L1TP_222063_20180702_20180716_01_T1_TIR_1_3.tif", 0)
qb = cv2.imread("/content/drive/My Drive/teste/LC08_L1TP_222063_20180702_20180716_01_T1_QB_1_3.tif", 0)
"""Create a blank image that has 5 channels
and the same number of pixels as your original input"""
needed_multi_channel_img = np.zeros((b.shape[0], b.shape[1], 5))
"""Add the channels to the needed image one by one"""
needed_multi_channel_img [:,:,0] = b
needed_multi_channel_img [:,:,1] = g
needed_multi_channel_img [:,:,2] = r
needed_multi_channel_img [:,:,3] = tir
needed_multi_channel_img [:,:,4] = qb
"""Save the needed multi channel image"""
cv2.imwrite("/content/drive/My Drive/teste/Merged_5C.tif",needed_multi_channel_img)
Solution 1:[1]
Since opencv uses numpy arrays, you can save your image using numpy.save
(binary) or numpy.savez_compressed
(compressed zip).
For example:
import numpy as np
filepath = "/content/drive/My Drive/teste/Merged_5C.npy"
with open(filepath, 'w') as f:
np.save(f, needed_multi_channel_img, allow_pickle=True)
Sources
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Source: Stack Overflow
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Solution 1 |