From: Juha H. <ju...@st...> - 2017-06-27 11:21:38
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Dear all, I need to run a fairly large classification run. To speed it up, I have run xmipp-crop/resize particles to achieve binning by factor of 3 and then normalised the particles again with xmipp-preprocess particles. Without binning/renormalization the job runs fine (albeit slowly). With binning/renormalization I get a segmentation fault referring to libfftw3 right when the 'Estimating initial noise spectra' starts. I am running on GPU. The only difference I can see between the two is that after binning/renormalization all the particles are in one large stack, whereas normally they are in several separate stacks. Has anyone else seen this behaviour? Any suggestions? Best wishes, Juha |