Can somebody please point out the error in the code below? The last line keeps throwing an error:
tmp = img1[coords]
IndexError: index 409 is out of bounds for axis 0 with size 352
I'm only shifting the indices by 10 so I don't understand how I'm suddenly out of bounds in img1
img1 = np.random.randint(0,256, (352,870, 3), dtype=np.uint8)
img2 = np.random.randint(0,256, (44,853, 3), dtype=np.uint8)
coords = np.where(img2[:, :, 2] >= 250)
coords = np.transpose(np.transpose(coords)+(10, 10))
tmp = img1[coords]
不清楚您要实现的目标,但我想是这样的: tmp = img1[coords[0], coords[1]]
In [1]: x = np.arange(24).reshape(2,3,4)
In [2]: idx = np.where(x%2)
In [3]: idx
Out[3]:
(array([0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1], dtype=int32),
array([0, 0, 1, 1, 2, 2, 0, 0, 1, 1, 2, 2], dtype=int32),
array([1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3], dtype=int32))
In [4]: x[idx]
Out[4]: array([ 1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23])
In [5]: idx1 = np.transpose(np.transpose(idx))
In [6]: idx1
Out[6]:
array([[0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1],
[0, 0, 1, 1, 2, 2, 0, 0, 1, 1, 2, 2],
[1, 3, 1, 3, 1, 3, 1, 3, 1, 3, 1, 3]], dtype=int32)
the wrong way to use idx1
:
In [7]: x[idx1]
---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
<ipython-input-7-ffe1818b2257> in <module>()
----> 1 x[idx1]
IndexError: index 2 is out of bounds for axis 0 with size 2
The right way:
In [8]: x[tuple(idx1)]
Out[8]: array([ 1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23])
Test this with a where
taken on a slice of x
(I don't like assuming code works):
In [22]: idx = np.where(x[:,:,2]%3)
In [23]: idx
Out[23]: (array([0, 0, 1, 1], dtype=int32), array([0, 2, 0, 2], dtype=int32))
In [24]: idx1 = np.transpose(np.transpose(idx))
In [25]: x[idx]
Out[25]:
array([[ 0, 1, 2, 3],
[ 8, 9, 10, 11],
[12, 13, 14, 15],
[20, 21, 22, 23]])
In [26]: x[tuple(idx1)]
Out[26]:
array([[ 0, 1, 2, 3],
[ 8, 9, 10, 11],
[12, 13, 14, 15],
[20, 21, 22, 23]])
Indexing with a n-row array is not the same as indexing with a n-tuple of arrays. The elements of a tuple are applied to successive dimensions. The elements of the array are applied to just one dimension, the first.
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