return model weights
first pass at implementing WindowDataLayer: a data provider for training a detection net from image windows
replace tp_threshold with fg and bg thresholds
adjustments to try to match the setup for fine tuning with cuda-convnet
demo on how to get net weights using the matlab interface
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
add missing file
10x learning rate for fine tuning makes a big difference
add initialization key for verifying state
support for tightest square mode while finetuning
fix paths
some cleanup
be less verbose
set default to the best value
remove some customizations that shouldn't merge into upstream
cleanup matlab demo