Question

在Macports更新后，我认为更新了numpy，我收到了警告：

VisibleDeprecationWarning: boolean index did not match indexed array along dimension 1; dimension is 2 but corresponding boolean dimension is 1
  inliers = n.size(pixels[distances <= self.dst])

以前没有提过。相关代码是：

# Compute distance of all non-zero points from the circumference 
distances = guess_feature.points_distance(pixels)

# Check which points are inliers (i.e. near the circle)
inliers = n.size(pixels[distances <= self.dst])

self.dst是单个标量。

guess_feature.points_distance：

def points_distance(self,points):
    r'''
    Compute the distance of the points from the feature

    :math:`d = \left| \sqrt{(x_i - x_c)^2 + (y_i-y_c)^2} - r \right|`

    Args:
        points (numpy.ndarray): a (n,2) numpy array, each row is a 2D Point.

    Returns:
        d (numpy.ndarray): the computed distances of the points from the feature.

    '''

    xa = n.array([self.xc,self.yc]).reshape((1,2))
    d = n.abs(dist.cdist(points,xa) - self.radius)
    return d

有什么想法吗？

Answer 1

我在numpy 1.10.1之后开始遇到类似的错误。我想你可以通过将布尔数组包装在numpy.where（）中来消除警告。

inliers = n.size(pixels[n.where(distances <= self.dst)])

由于您只是采用了尺寸，因此无需使用像素阵列，因此这应该可行：

inliers = n.size(n.where(distances <= self.dst])[0])

VisibleDeprecationWarning：布尔索引与维度1的索引数组不匹配; dimension是2但对应的boolean维度是1

1 个答案: