执行 "pyramid_reduce" 函数后尺寸减小。怎么修？

Question

我正在尝试使用 "scikit-image" 缩小图像。但是，由于尺寸的原因，我无法通过 matplotlib.imshow 函数显示缩小后的图片。有没有办法防止这种降维？脚本我也放了

import os, cv2, glob
import numpy as np
import matplotlib.pyplot as plt
from skimage import io
from skimage.transform import pyramid_reduce,
plt.style.use('dark_background')

img_path = os.path.join(img_base_path, value[0])
img = io.imread(img_path)
resized = pyramid_reduce(img, downscale=4)
print(resized.shape)

img.shape 是 (240, 240, 3)。所以我期望的输出是 (60, 60, 3)。但是我得到的是 (60, 60, 1).

Answer 1

当我阅读 pyramid_reduce 函数的 documentation 时，我注意到参数 multichannel:

multichannel: bool,optional

Whether the last axis of the image is to be interpreted as multiple channels or another spatial dimension.

所以我建议您将其设置为 True，否则他会将您的 2D 彩色图像视为 3D BW 图像：

resized = pyramid_reduce(img, downscale=4, multichannel=True)

执行 "pyramid_reduce" 函数后尺寸减小。怎么修？

Dimension decreases after performing "pyramid_reduce" function. How to fix?

python

scikit-image