jdelange - 11 months ago 112

Python Question

I have a 3D numpy array (1L, 420L, 580L) the 2nd and 3rd dimension is a gray scale image that I want to display using openCV. How do I pull the 2D array from the 3D array?

I created a short routine to do this, but I bet there is a better way.

`# helper function to remove 1st dimension`

def pull_image(in_array):

rows = in_array.shape[1] # vertical

cols = in_array.shape[2] # horizontal

out_array = np.zeros((rows, cols), np.uint8) # create new array to hold image data

for r in xrange(rows):

for c in xrange(cols):

out_array[r, c] = in_array[:, r, c]

return out_array

Answer

If you always only have the first dimension == 1, then you could simply reshape the array...

```
if in_array.shape[0] == 1:
return in_array.reshape(in_array.shape[1:])
```

otherwise, you can use numpy's advanced list slicing...

```
else:
return in_array[0,:,:]
```

Source (Stackoverflow)