py-R-FCN
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Problem: Training using 5 stage mode
In the source code of tools/rfcn_alt_opt_5stage_ohem.py, stage 2 rfcn training uses initial net weight from initial imagenet model. Why didn't it use net weight trained from stage 2 rpn but init from imagenet model?