I have the following code and it fails, because it cannot read the file from disk. The image is always None
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# -*- coding: utf-8 -*-
import cv2
Inspired by Thomas Weller's answer, you can also use np.fromfile() to read the image and convert it to ndarray and then use cv2.imdecode()
to decode the array into a three-dimensional numpy ndarray (suppose this is a color image without alpha channel):
import numpy as np
# img is in BGR format if the underlying image is a color image
img = cv2.imdecode(np.fromfile('测试目录/test.jpg', dtype=np.uint8), cv2.IMREAD_UNCHANGED)
np.fromfile()
will convert the image on disk to numpy 1-dimensional ndarray representation. cv2.imdecode
can decode this format and convert to the normal 3-dimensional image representation. cv2.IMREAD_UNCHANGED
is a flag for decoding. Complete list of flags can be found here.
PS. For how to write image to a path with unicode characters, see here.