为什么我的代码显示断言错误和值错误？

Question

我正在尝试调整图像大小。为此，我正在使用 skimage 调整大小。为此，输入将是 3d numpy 图像数组。并且输出将再次是一个较小维度的 3d numpy 数组。

downSample = []

for i in range(len(rgb_val)):

    downSample.append(resize(rgb_val[i], (rgb_val[i].shape[0] / 16, rgb_val[i].shape[1] / 16),

                       anti_aliasing=True))

在这里， rgb_val 只不过是一个列表，其中包含我的数据集中的 3d numpy 图像数组。但是在执行这个循环时，它向我显示了以下错误。我应该怎么做才能解决以下错误？

---------------------------------------------------------------------------

AssertionError                            Traceback (most recent call last)

~/anaconda3/lib/python3.7/site-packages/skimage/_shared/utils.py in safe_as_int(val, atol)

    147     try:

--> 148         np.testing.assert_allclose(mod, 0, atol=atol)

    149     except AssertionError:

~/anaconda3/lib/python3.7/site-packages/numpy/testing/_private/utils.py in assert_allclose(actual, desired, rtol, atol, equal_nan, err_msg, verbose)

   1451     assert_array_compare(compare, actual, desired, err_msg=str(err_msg),

-> 1452                          verbose=verbose, header=header, equal_nan=equal_nan)

   1453 

~/anaconda3/lib/python3.7/site-packages/numpy/testing/_private/utils.py in assert_array_compare(comparison, x, y, err_msg, verbose, header, precision, equal_nan, equal_inf)

    788                                 names=('x', 'y'), precision=precision)

--> 789             raise AssertionError(msg)

    790     except ValueError:

AssertionError: 

Not equal to tolerance rtol=1e-07, atol=0.001

(mismatch 66.66666666666666%)

 x: array([0.25, 0.5 , 0.  ])

 y: array(0)

During handling of the above exception, another exception occurred:

ValueError                                Traceback (most recent call last)

<ipython-input-27-754225493c2e> in <module>

      1 for i in range(len(rgb_val)):

      2     downSample.append(resize(rgb_val[i], ((rgb_val[i].shape[0]) / 16, (rgb_val[i].shape[1]) / 16),

----> 3                        anti_aliasing=True))    

      4 

      5 #     downSample.append(resize(i, i.shape[0]/4, i.shape[1]/4), anti_aliasing = True)

Answer 1

rgb_val可能包含非int类型对象。请尝试以下操作：downSample = []for i in range(len(rgb_val)):&nbsp; &nbsp; downSample.append(resize(int(rgb_val[i]), (int(rgb_val[i].shape[0] / 16), int(rgb_val[i].shape[1] / 16)),&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;anti_aliasing=True))