问Nibabel库中的get_data和get_fdata有什么区别？EN双等号(==) 符号检查松散相等，而三等号(===) ...
1. 下载 pip install nibabel 1. 2.数据读取 img_path = "/IXI-T1/IXI249-Guys-1072-T1.nii.gz" img = nib.load(img_path) print(img.shape) 1. 2. 3. 直接打印img可以看到很多信息,包括shape, 仿射值,数据类型,矩阵等等。 3. 获取数据矩阵,使用get_fdata()获取的是格式为numpy格式 data = img...
load(nii_path) # 获取niifile数据 img_fdata = img.get_fdata(dtype = np.float64) # 2. 根据需求将CT值在阈值之外的截断掉 upper = 1000 lower = -1000 img_fdata[img_fdata > upper] = upper img_fdata[img_fdata < lower] = lower # 打印数据的shape print(img_fdata.shape) # 3. 将...
读取NIfTI文件:使用nib.load()函数读取NIfTI文件,并将其存储为NiBabel的图像对象。 获取图像数据:通过访问图像对象的get_fdata()方法,可以获取NIfTI图像的原始数据。 获取图像数据:通过访问图像对象的get_fdata()方法,可以获取NIfTI图像的原始数据。 进行预处理操作:根据需要,可以对NIfTI图像数据进行各种预处理操作...
data = data.get_fdata() nib.Nifti1Image(data_2,affine).to_filename(save_pth) 2023-4-19增加 sitk自带查看size的函数 GetSize() data = sitk.ReadImage('test_sitk.nii.gz') array_sitk_read = sitk.GetArrayFromImage(data) print(array_sitk_read.shape) ...
importnibabel as nibimportmatplotlib.pyplot as pltdefread_data(path): image_data=nib.load(path).get_data()returnimage_data#单张显示defshow_img(ori_img): plt.imshow(ori_img[:,:,60], cmap ='gray')plt.show() path='F:/BaiduNetdiskDownload/COVID-19CTSeg/data/volume-0.nii'data=read_data...
importnibabel as nibimportmatplotlib.pyplot as pltdefread_data(path): image_data=nib.load(path).get_data()returnimage_data#单张显示defshow_img(ori_img): plt.imshow(ori_img[:,:,60], cmap ='gray')plt.show() path='F:/BaiduNetdiskDownload/COVID-19CTSeg/data/volume-0.nii'data=read_data...
get_fdata(dtype=np.float32) will attempt to avoid casting data to np.float64 when scaling parameters would otherwise promote the data type unnecessarily. (pr/833) (CM, reviewed by Ross Markello) ArraySequence now supports a large set of Python operators to combine or update in-place. (pr...
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ffmpeg -ar 44100 -ac 2 -f s16le -i 44100_s16le_2.pcm -ar 48000 -ac 1 -f f32le 48000_f32le_1.pcm 1. 编程 音频重采样需要用到2个库: swresample avutil 函数声明 为了让音频重采样功能更加通用,设计成以下函数: // 音频参数 typedef struct { ...