Qhull error

[Juan Nunez-Iglesias]

This is all very weird. Stefan, no, I didn't figure it out, I just
implemented my proposal of having a try/except around it and setting it to
1.1 if the error came up! =) It was a minority of my objects and I chuck
out outliers anyway... Chintak's finding suggests a more Pull-Requestable
way forward... =)


On Wed, Jul 10, 2013 at 2:52 PM, Chintak Sheth <chintaksheth at gmail.com>wrote:

> Hi Juan,
>
> I tried computing `convex_hull_image` of `test_im` directly and as
> expected got the error you posted above.
>
> Then I tried to run `regionprops` on the `test_im` padded with 0s. This
> again threw the same error. But oddly so, direct computation of
> `convex_hull_image` of padded `test_im` does give a result! In spite of the
> traceback showing that the problem originated in `convex_hull_image`
> function.
>
> At least for the purposes of your problem you can probably compute the
> Solidity manually here.
>
> ```
> In [27]: a = np.zeros((5,9), int)
>
> In [28]: a
> Out[28]:
> array([[0, 0, 0, 0, 0, 0, 0, 0, 0],
>        [0, 0, 0, 0, 0, 0, 0, 0, 0],
>        [0, 0, 0, 0, 0, 0, 0, 0, 0],
>        [0, 0, 0, 0, 0, 0, 0, 0, 0],
>        [0, 0, 0, 0, 0, 0, 0, 0, 0]])
>
> In [29]: a[1:-1, 1:-1] = test_im
>
> In [30]: a
> Out[30]:
> array([[0, 0, 0, 0, 0, 0, 0, 0, 0],
>        [0, 0, 0, 0, 0, 1, 0, 0, 0],
>        [0, 0, 0, 1, 1, 1, 1, 1, 0],
>        [0, 1, 1, 1, 0, 0, 0, 0, 0],
>        [0, 0, 0, 0, 0, 0, 0, 0, 0]])
>
> In [31]: b = convex_hull_image(a).astype(int)
>
> In [32]: b
> Out[32]:
> array([[0, 0, 0, 0, 0, 0, 0, 0, 0],
>        [0, 0, 0, 0, 1, 1, 1, 0, 0],
>        [0, 0, 1, 1, 1, 1, 1, 1, 0],
>        [0, 1, 1, 1, 1, 0, 0, 0, 0],
>        [0, 0, 0, 0, 0, 0, 0, 0, 0]])```
>
> Thanks,
> Chintak
>
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