我有一个形状为 .nii 的 nifti 文件(.nii)(112, 176, 112)
。我想为其添加另一个维度,使其变为(112, 176, 112, 3)
. 当我尝试时,img2 = np.arange(img).reshape(112,176,112,3)
我得到一个错误。是否有可能用np.reshape
或np.arange
或任何其他方式做到这一点?
代码:
import numpy as np
import nibabel as nib
filepath = 'test.nii'
img = nib.load(filepath)
img = img.get_fdata()
img = np.arange(img).reshape(112,176,112,3)
img = nib.Nifti1Image(img, np.eye(4))
img.get_data_dtype() == np.dtype(np.int16)
img.header.get_xyzt_units()
nib.save(img, 'test_add_channel.nii')
错误:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-16-f6f2a2d91a5d> in <module>
8 print(img.shape)
9
---> 10 img2 = np.arange(img).reshape(112,176,112,3)
11
12 img = nib.Nifti1Image(img, np.eye(4))
ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()