add window data layer
define pascal finetuning models
adjustments to try to match the setup for fine tuning with cuda-convnet
some major bug fixes (includes some to-be-removed debugging code)
Code that was used to finetune with reasonable success
support for adding padding to windows in the window_data_layer
10x learning rate for fine tuning makes a big difference
support for tightest square mode while finetuning
fix paths
some cleanup
set default to the best value
file pascal finetuning prototxt examples and fix paths
keep DLOG (revert accidental switch to LOG)
return model weights
demo on how to get net weights using the matlab interface
add initialization key for verifying state
cleanup matlab demo
minor cleanup in rcnn-finetuning -- rcnn feature computation tested at
this commit (in addition to all caffe unit tests passing)
minor style update of docs
docs: added list of contributors