def seg(path):
p=np.array([get_3d_data('../../../Cut_Brats_Training_Data/Test/'+"cut"+path+"_flair.nii.gz")])
shap=p[0].shape
print (shap)
leng=shap[0]*shap[1]*shap[2]
#pix=get_pixels(path)
pc=concat(p)
print (p[0].shape)
px = cv2.Sobel(p[0],cv2.CV_64F,1,0,ksize=5)
py = cv2.Sobel(p[0],cv2.CV_64F,0,1,ksize=5)
print(time.strftime('%a %H:%M:%S'))
pcx=concat1(px)
pcy=concat1(py)
print(time.strftime('%a %H:%M:%S'))
pa=ndimage.filters.convolve(p[0],np.full((5, 5, 5), 1.0/125),mode='constant')
print(time.strftime('%a %H:%M:%S'))
pg=concat1(pa)
print(time.strftime('%a %H:%M:%S'))
X=reshape_feat(pc,pg,pcx,pcy,leng)
print(time.strftime('%a %H:%M:%S'))
return X
give_seg_image.py 文件源码
python
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