Add sampler that checks if there are a minimum number of instances in the volume #60
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When there is only one instance in the volume, the RF is trained with only one class. This leads to an assertion error in
_predict_rf()
inshallow2deep_dataset.py
. By applying one of the new samplers this issue can be fixed. Therefore, I added the sampler as an argument toprepare_shallow2deep()
, while keeping the default behavior of having theMinForegroundSampler
.