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I'm a graduate student in Prof. Minwhan Jung's lab, KAIST, South Korea.
I have an issue that appears when running demo_large_data_1p.m, in the first update of spatial components, after [center_res, Cn_res, PNR_res] =neuron.initComponents_residual_parallel([], save_initialization, use_parallel, min_corr_res, min_pnr_res, seed_method_res);.
The error message leads me to line 66, IND = sparse(logical(determine_search_location(obj.A, search_method, options)));
and again to line 66 of determine_search_location, which is a parfor.
I run manually this parfor and found that in line 69, [V,D] = eig(Vr{i}); was stopping me, as a column of obj.A was a zero sparse. I realized that some zero-pixel neurons were existing, but the fixing of this false positives (remove_false_positives) is placed after this spatial update in the demo, so I'm opening this issue.
I tried to overcome with starting with higher min_pnr and min_corr but did not work.
Thanks.
Young Ju.
The text was updated successfully, but these errors were encountered:
To be specific, (as my Matlab is in Korean) let me describe the error exactly.
It says, "the input matrix should not contain NaN or infinite numbers", which eig(Vr{i}) makes.
Thanks.
Hello,
I'm a graduate student in Prof. Minwhan Jung's lab, KAIST, South Korea.
I have an issue that appears when running
demo_large_data_1p.m
, in the first update of spatial components, after[center_res, Cn_res, PNR_res] =neuron.initComponents_residual_parallel([], save_initialization, use_parallel, min_corr_res, min_pnr_res, seed_method_res);
.The error message leads me to line 66,
IND = sparse(logical(determine_search_location(obj.A, search_method, options)));
and again to line 66 of
determine_search_location
, which is aparfor
.I run manually this
parfor
and found that in line 69,[V,D] = eig(Vr{i});
was stopping me, as a column of obj.A was a zero sparse. I realized that some zero-pixel neurons were existing, but the fixing of this false positives (remove_false_positives
) is placed after this spatial update in the demo, so I'm opening this issue.I tried to overcome with starting with higher
min_pnr
andmin_corr
but did not work.Thanks.
Young Ju.
The text was updated successfully, but these errors were encountered: