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hi,
I have a question about the implementation detail in RFS , in the class DistributedGroupSampler_addrepeat_sampleout
defined in sampler.py file, there is a hard coding self.num_to_sample_out= [6000, 17000] , I read the code , it seems that you randomly exclude some images which need not to repeat resampling more than once and the exclusion number are 6000 and 17000 respectively for different group flag
if it is ,can you explain the reason why it is needed to do this exlusion and how to decide the exclusion number? thanks a lot
The text was updated successfully, but these errors were encountered:
@dadada101 Sorry for the confusion.
Actually, DistributedGroupSampler_addrepeat_sampleout is not our implementation for RFS. It's just one of our tryings that does not work. (We should have deleted this class in sample.py)
For our implementation of RFS, please refer to DistributedGroupSampler_addrepeat .
hi,
I have a question about the implementation detail in RFS , in the class DistributedGroupSampler_addrepeat_sampleout
defined in sampler.py file, there is a hard coding self.num_to_sample_out= [6000, 17000] , I read the code , it seems that you randomly exclude some images which need not to repeat resampling more than once and the exclusion number are 6000 and 17000 respectively for different group flag
if it is ,can you explain the reason why it is needed to do this exlusion and how to decide the exclusion number? thanks a lot
The text was updated successfully, but these errors were encountered: