ValueError:轴与数组不匹配无法转置数组

2024-06-17 13:39:37 发布

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回溯错误

Traceback (most recent call last):
File "C:\Users\trial2\trial.py", line 55, in <module>
image_stack(image)
File "C:\Users\trial2\trial.py", line 41, in image_stack
transposed_axes = np.transpose(img, axes=concat)
File "<__array_function__ internals>", line 5, in transpose
File "C:\Users\trial2\venv\lib\site-packages\numpy\core\fromnumeric.py", line 660, in transpose
return _wrapfunc(a, 'transpose', axes)
File "C:\Users\trial2\venv\lib\site-packages\numpy\core\fromnumeric.py", line 57, in _wrapfunc
return bound(*args, **kwds)
ValueError: axes don't match array

如果这有助于解决问题,那么回溯错误也存在 我需要计算作为参数输入到函数中的图像的新转置轴。该函数获取图像的形状,然后计算图像的转置轴。将图像阵列转置到新轴时出现问题。我不明白为什么它不起作用。我是否需要将concat变量转换为元组以使其正常工作,还是其他原因导致了该问题

def image_stack(image):
    img_shape = cv2.imread(image).shape
    img = np.asarray(img_shape)
    print(type(img))
    n = len(img)
    val_1 = list(range(1, n - 1, 2))
    val_2 = list(range(0, n - 1, 2))
    print(img)
    if n % 2 == 0:
        y_ax = val_1
        x_ax = val_2
        axes = (y_ax, x_ax, [n-1])
    else:
        y_ax = val_2
        x_ax = val_1
        axes = (y_ax, x_ax, [n - 1])
    print(type(axes))
    concat = np.concatenate(axes)
    print(concat)
    if type(axes) == tuple:
        transposed_axes = np.transpose(img, axes=concat)
        print(transposed_axes)

image = 'C:\\trial_images\\9.jpg'
image_stack(image) 

Tags: inpyimageimgstacklinevalax
1条回答
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1楼 · 发布于 2024-06-17 13:39:37

轴参数的类型无关紧要:

In [96]: arr = np.ones( [720, 1280, 3 ] )
In [97]: np.transpose(arr,[0,1,2]).shape
Out[97]: (720, 1280, 3)
In [98]: np.transpose(arr,(0,1,2)).shape
Out[98]: (720, 1280, 3)
In [99]: np.transpose(arr,np.array([0,1,2])).shape
Out[99]: (720, 1280, 3)

但是,如果我提供的值多于arr的维度,我会得到您的错误:

In [103]: np.transpose(arr,[0,1,2,3]).shape
Traceback (most recent call last):
  File "<ipython-input-103-fc01ec77b59e>", line 1, in <module>
    np.transpose(arr,[0,1,2,3]).shape
  File "<__array_function__ internals>", line 5, in transpose
  File "/usr/local/lib/python3.8/dist-packages/numpy/core/fromnumeric.py", line 660, in transpose
    return _wrapfunc(a, 'transpose', axes)
  File "/usr/local/lib/python3.8/dist-packages/numpy/core/fromnumeric.py", line 57, in _wrapfunc
    return bound(*args, **kwds)
ValueError: axes don't match array

我期望[0,1,2]和2d arr也会有同样的结果

希望这能让您了解如何自己调试问题。启动一个交互式会话并尝试一些替代方案

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