我将 Google Colab 与 Python 3 一起使用，我需要合并 3 个图像以制作一个具有 5 个 channel 的新图像，但出现此错误: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_'
我了解 cv2.imwrite不保存 5 channel 图像，但我该怎么做？
这是我的代码:
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)
最佳答案
由于 opencv 使用 numpy 数组，您可以使用 numpy.save 保存图像(二进制)或numpy.savez_compressed (压缩的 zip)。
例如:
import numpy as np
filepath = "/content/drive/My Drive/teste/Merged_5C.tif"
with open(filepath, 'w') as f:
np.save(f, needed_multi_channel_img, allow_pickle=True)
关于python-3.x - Python OpenCV - 如何保存 5 channel 图像，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/59307148/