Numpy：不允许使用负尺寸

Question

使用 GeFolki 对不同的卫星数据集进行配准时，我在尝试操作数据时收到以下 ValueError。

你能解释一下我做错了什么吗？请帮助我

from skimage.transform import resize
nx = int(round(dimx/fdecimation)) 
ny = int(round(dimy/fdecimation))
Mg = resize(Master,(nx, ny),1,'constant')
nsx = int(round(dimxn/fdecimation)) 
nsy = int(round(dimyn/fdecimation))
Sg = resize(Slave,(nsx, nsy),1,'constant')       

# Rank computation and Criterion on images after deximation
from rank import rank_sup as rank_filter_sup
from rank import rank_inf as rank_filter_inf
Mg_rank = rank_filter_inf(Mg, rank) # rank sup : high value pixels have low rank
Sg_rank = rank_filter_inf(Sg, rank)

R=np.zeros((nx-nsx-1,ny-nsy-1)); 
indices=np.nonzero(Sg_rank);
test2=Sg_rank[indices];

for k in range(0,nx-nsx-1):
    for p in range(0,ny-nsy-1):
        test1=Mg_rank[k:k+nsx,p:p+nsy];
        test1=test1[indices];
        test=(test1-test2)**2
        R[k,p]=test.mean(); 



ValueError                                Traceback (most recent call last)
<ipython-input-24-bebe7595123d> in <module>
     17 Sg_rank = rank_filter_inf(Sg, rank)
     18 
---> 19 R=np.zeros((nx-nsx-1,ny-nsy-1));
     20 indices=np.nonzero(Sg_rank);
     21 test2=Sg_rank[indices];

ValueError: negative dimensions are not allowed

Answer 1

显然 nx-nsx-1、ny-nsy-1 之一是负数，但您不能创建负数 rows/columns 的 0 数组。我建议打印出这些值并查看它们在哪里变为负值以修复它。

Numpy：不允许使用负尺寸

Numpy: negative dimensions are not allowed

numpy

dimensions

negative-number

valueerror