Closed dchaley closed 6 months ago
See also documentation for Mesmer application: https://deepcell.readthedocs.io/en/master/_modules/deepcell/applications/mesmer.html#Mesmer
This hard-codes the post-processing function, it's not available as a parameter to Mesmer.
However we can create our own Mesmer subclass application, which overrides the constructor to provide an empty postprocessing function. This avoids creating a deepcell fork with a custom Mesmer implementation.
Follow up to #96 .
We don't just want to speed up the benchmark. The post-processing step is very time & memory intensive. This requires large machines with many cores to get enough RAM, but then we can't attach any GPUs (because of quota).
For now, let's just skip post-processing entirely and exercise the inference portion w/ more data sizes & GPUs.