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Scipy imsave和imread更改格式

image-formats scipy image-processing python

0

Baron Yugovich · 技术社区 · 6 年前

当我保存图像时,它的格式是 numpy.uint16 numpy.uint8 ,它把整个管道都搞砸了。我如何防止这种情况发生?

我在打电话

from scipy.misc import imread, imsave
image = imread(path)
imread(image_path)

2 回复 | 直到 6 年前

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3

Lakshay Sharma 6 年前

这个 imsave imread 方法已弃用,并将在以后的SciPy版本中删除。使用 imageio.imsave 和 imageio.imread

>>> import imageio
>>> img = imageio.imread('img.jpg')
>>> img.dtype
dtype('uint8')
>>> imageio.imwrite('img_saved.jpg', img)
>>> img_read = imageio.imread('img_saved.jpg')
>>> img_read.dtype
dtype('uint8')

2

0

Mark Setchell 6 年前

我会在这样的TIFF中读写16位灰度数据:

#!/usr/local/bin/python3

import numpy as np
from PIL import Image

# Make a greyscale image of random 16-bit ints in range 0..65535
arr = np.random.randint(0,65535,(320,240), dtype=np.uint16)

# Make PIL image from numpy array and save
im=Image.fromarray(arr).save("result.tif")

# Re-read from file
reloadedim  = Image.open("result.tif")
reloadedarr = np.array(reloadedim)

# Calculate difference
diff = arr - reloadedarr
print("Number of different pixels: {}".format(sum(diff.ravel())))

它印出来了 .