Hi Jinghao,
I normally use the min1pipe_HPC on my local PC for my processing which works fine, but does not have the noise suppression feature from the latest min1pipe version.
So I just tried out the latest min1pipe version using demo_min1pipe. With your demo.tiff it works without problems.
But for a single msCam file (50 sec, 20 Hz) from one of my sessions (which was processed with min1pipe_HPC wo problems before) I get an error in normalize_batch in the noise_suppress function.
The reason is that num2str(idbatch(i + 1) - 1) is 752 but the size of m.reg is 250 , so I get the error
'Index exceeds matrix dimensions.' ( see below)
eval(['tmp = m.', var, '(:, :, ', num2str(idbatch(i)), ': ', num2str(idbatch(i + 1) - 1), ');'])
here I get the error 'Index exceeds matrix dimensions.' because
eval('tmp = m.reg(:, :, 1: 752);') but
size(m.reg)
ans =
480 752 250
Do you have any idea how I can fix that?
Below the set parameters:
Fsi = 20;
Fsi_new = 5;
spatialr = 1;
se = 5;
ismc = true;
flag = 1;
ifpost = false;
Hi Jinghao, I normally use the min1pipe_HPC on my local PC for my processing which works fine, but does not have the noise suppression feature from the latest min1pipe version. So I just tried out the latest min1pipe version using demo_min1pipe. With your demo.tiff it works without problems. But for a single msCam file (50 sec, 20 Hz) from one of my sessions (which was processed with min1pipe_HPC wo problems before) I get an error in normalize_batch in the noise_suppress function. The reason is that num2str(idbatch(i + 1) - 1) is 752 but the size of m.reg is 250 , so I get the error 'Index exceeds matrix dimensions.' ( see below)
eval(['tmp = m.', var, '(:, :, ', num2str(idbatch(i)), ': ', num2str(idbatch(i + 1) - 1), ');']) here I get the error 'Index exceeds matrix dimensions.' because
eval('tmp = m.reg(:, :, 1: 752);') but
size(m.reg) ans = 480 752 250
Do you have any idea how I can fix that?
Below the set parameters: Fsi = 20; Fsi_new = 5; spatialr = 1; se = 5; ismc = true; flag = 1; ifpost = false;
Best regards, Martin