更改Numpy和Nibabel中的数据类型 我正在尝试使用Nibabel将numpy数组转换为Nifti文件格式。我的一些Numpy数组有dtype('<i8'),当Nibabel调用数据类型时,它应该是dtype('uint8')。arr.get_data_dtype() 有人知道如何转换和保存Numpy数组的数据类型吗? 浏览8提问于2017-06-06得票数 4 回答已采纳 1回答 关于Bra...
从标准输入读取图像， 将背景模式设置为浅色或深色， 设置边框， 设置输出高度和宽度， 为输出图像设置自...
MNT: Update support matrix for Python and numpy Oct 9, 2024 nibabel-data DATA: Add dcm_qa_xa30 as submodule for test data Feb 23, 2024 nibabel test: Proactively delete potential filehandle refs Feb 15, 2025 tools chore: Disable writing min-requirements from update_requirements.py ...
PyNIfTI now does a proper wrapping of the image data with NumPy arrays, which no longer leads to accidental memory leaks, when accessing array data that has not been copied before (e.g. via the data property of NiftiImage). Thanks to Gaël Varoquaux for mentioning this possibility. 0.200...
EN选自Medium 作者：Taposh Dutta-Roy 机器之心编译 参与：Nurhachu Null、李泽南 今年 3 月，英伟达的...
问如何使用nibabel修改mgh/dicom/nifti文件的方向ENDICOM(DigitalImaging andCommunications inMedicine)是指...
If False, do not try numpy ``memmap`` for data array. If one of {'c', 'r'}, try numpy memmap with ``mode=mmap``. A `mmap` value of True gives the same behavior as ``mmap='c'``. If image data file cannot be memory-mapped, ignore `mmap` value and read array from file....
In [24]: import numpy as np In [25]: import nibabel as nib In [27]: n_img = nib.load('NIFTI/T1.nii.gz') In [28]: p_img = nib.load('PARREC/T1.PAR') In [29]: np.all(n_img.dataobj.get_unscaled() == p_img.dataobj.get_unscaled()) ...
我在python中实现了主要逻辑，但在将其移植到web应用程序.如何在Django模板中使用循环指令，请举例说明 #...
Support for numpy 1.12 (pr/500, pr/502) (MC, MB) Allow dtype specifiers as fileslice input (pr/485) (MB) Support "headerless" ArrayProxy specification, enabling memory-efficient ArrayProxy reshaping (pr/521) (CM) Allow unknown NIfTI intent codes, add FSL codes (pr/528) (PM) Improve ...