Thanks Emma, I see. It worked now...
The problem is not with shape_index any more, x, y and image have
transposed dimensions. If you replace
ax2.plot_surface(x, y, image, linewidth=0, alpha=0.5)
with
ax2.plot_surface(x.T, y.T, image, linewidth=0, alpha=0.5)
it works.
Cheers
Emma
On Wed, Jan 02, 2019 at 03:54:29PM +0100, Stefanie Lück wrote:
> As Emma pointed out, an image and the code would be helpful to solve the
> problem. I can't sent the image because of confidentiality reasons but I have
> the problem with other images too...
> Cheers
> Stefanie
> Am Mi., 2. Jan. 2019 um 12:11 Uhr schrieb Stefanie Lück <luecks@gmail.com>:
> Hi Emma,
> thanks for you reply, I tried already to load the image as gray scale and
> after your suggestion to convert the image (should be the same) but I got
> the following error message:
> RuntimeWarning: divide by zero encountered in true_divide
> return (2.0 / np.pi) * np.arctan((l2 + l1) / (l2 - l1))
> D:\Anaconda\lib\site-packages\skimage\feature\corner.py:421:
> RuntimeWarning: invalid value encountered in true_divide
> return (2.0 / np.pi) * np.arctan((l2 + l1) / (l2 - l1))
> C:/Users/stefanie/PycharmProjects/BluVision/Testing/shape_index.py:27:
> RuntimeWarning: invalid value encountered in less
> point_y, point_x = np.where(np.abs(s - target) < delta)
> C:/Users/stefanie/PycharmProjects/BluVision/Testing/shape_index.py:36:
> RuntimeWarning: invalid value encountered in less
> point_y_s, point_x_s = np.where(np.abs(s_smooth - target) < delta)
> Traceback (most recent call last):
> File "C:/Users/stefanie/PycharmProjects/BluVision/Testing/
> shape_index.py", line 59, in <module>
> ax2.plot_surface(x, y, image, linewidth=0, alpha=0.5)
> File "D:\Anaconda\lib\site-packages\mpl_toolkits\mplot3d\axes3d.py", line
> 1612, in plot_surface
> X, Y, Z = np.broadcast_arrays(X, Y, Z)
> File "D:\Anaconda\lib\site-packages\numpy\lib\stride_tricks.py", line
> 252, in broadcast_arrays
> shape = _broadcast_shape(*args)
> File "D:\Anaconda\lib\site-packages\numpy\lib\stride_tricks.py", line
> 187, in _broadcast_shape
> b = np.broadcast(*args[:32])
> ValueError: shape mismatch: objects cannot be broadcast to a single shape
> I would love to open an issue or even to try a pull request. Since this
> would be the first time, I would need some help and might come back to you
> if it is OK for you. I notice quite often an uncertainty in the
> documentation about loading images, so I am glad to help to improve it.
> Cheers
> Stefanie
> Am Di., 1. Jan. 2019 um 22:50 Uhr schrieb Emmanuelle Gouillart <
> emmanuelle.gouillart@normalesup.org>:
> Hi Stefanie,
> happy new year to you too :-). I had a quick look at the code of
> feature.shape_index, and the function requires a 2D (hence grayscale
> image). Can you check that the function works on color.rgb2gray(image)?
> This also means that the docstring is incorrect, we should say
> image: 2D array
> instead of
> image : ndarray
> Would you mind opening an issue for this? (or even submitting a pull
> request?)
> All the best
> Emma
> On Tue, Jan 01, 2019 at 08:48:52PM +0100, Stefanie Lück wrote:
> > Hi everybody,
> > first of all I wish you a happy new year :)
> > I have a problem with the Shape Index example. When I try with my
> image (shape
> > (778, 1802, 3)) I am getting the following error message:
> > Traceback (most recent call last):
> > File "C:/Users/stefanie/PycharmProjects/BluVision/Testing/
> shape_index.py",
> > line 16, in <module>
> > s = shape_index(image)
> > File "D:\Anaconda\lib\site-packages\skimage\feature\corner.py",
> line 419, in
> > shape_index
> > l1, l2 = hessian_matrix_eigvals(H)
> > ValueError: too many values to unpack (expected 2)
> > System:
> > scikit-image 0.14.1
> > Windows 10
> > Python 3.6
> > Any suggestions?
> > Thanks
> > Stefanie
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