I am currently re-running some code which worked on LightOn Cloud in Sep / Oct 2020. In my code I set the OPU exposure and frametime as follows:
from lightonml.projections.sklearn import OPUMap
mapping = OPUMap(n_components=num_rand_proj, verbose_level=1)
mapping.opu.device.exposure_us = 600
mapping.opu.device.frametime_us = 1000
y = mapping.transform(opu_input.astype(‘uint8’))
where num_rand_proj is the number of projections and opu_input is the data I want to project.
When I use Aurora A the system prints:
OPUMap was not fit to data. Performing fit on the input with default parameters…
OPU: random projections of an array of size (64975,)
OPU: using frametime 500 μs, exposure 400 μs, output ROI ((0, 512), (2040, 64))
which indicates that I have not been able to successfully set the exposure and frametime to 600 and 1000. Aurora B and C are not available for booking so I could not test this there.
Please can someone help me with this?