On Wed, 11 Apr 2018 12:44:45 +1000, Juan Nunez-Iglesias wrote:
In [7]: image Out[7]: array([[ 0., 0., 0., 0., 0., 0.], [ 0., 1., 0., 0., 0., 0.], [ 0., 0., 0., 0., 0., 0.], [ 2., 2., 2., 4., 4., 2.], [ 2., 2., 2., 4., 4., 2.], [ 2., 2., 2., 2., 2., 2.]])
In [15]: feature.peak_local_max(image) In [17]: image_peak[tuple(feature.peak_local_max(image).T)] = 1
In [18]: image_peak Out[18]: array([[ 0., 0., 0., 0., 0., 0.], [ 0., 1., 0., 0., 0., 0.], [ 0., 0., 0., 0., 0., 0.], [ 0., 1., 0., 1., 1., 0.], [ 0., 1., 0., 1., 1., 0.], [ 0., 0., 0., 0., 0., 0.]])
That output in column 1 looks highly suspect! This is a great example for a regression test, thanks Yann. Stéfan