Scipy imsave 和 imread 改变格式

Question

当我保存图像时，它的格式是 numpy.uint16，当我加载它时，它是 numpy.uint8，它把我的整个管道搞得一团糟。我该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)

Answer 1

imsave 和 imread 方法已弃用，将在 SciPy 的未来版本中删除。使用 imageio.imwrite 和 imageio.imread 应该可以解决这个问题。

>>> 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')

Answer 2

我会像这样在 TIFF 中写入和读取 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())))

它打印 "Number of different pixels: 0".

Scipy imsave 和 imread 改变格式

Scipy imsave and imread change format

python

image-processing

scipy

image-formats