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Find number of channels in your image
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""" | |
num_channels.py | |
Find number of channels in your image. | |
Author: liuhh02 https://machinelearningtutorials.weebly.com/ | |
""" | |
from PIL import Image | |
import numpy as np | |
# name of your image file | |
filename = './directory/to/image/file/image.tif' | |
# open image using PIL | |
img = Image.open(filename) | |
# convert to numpy array | |
img = np.array(img) | |
# find number of channels | |
if img.ndim == 2: | |
channels = 1 | |
print("image has 1 channel") | |
else: | |
channels = image.shape[-1] | |
print("image has", channels, "channels") |
@hchen98 thanks!
I needed to change the image to img = cv2.imread(filename)
because the img in your code has no attribute ndim
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On line 25 where you have
image.shape[-1]
, I believe it should beimg.shape[-1]
becauseshape
is part of NumPy's attribute, not PIL image object.