split run_cnet mode into run_cnet and derived cnet_predict. use run_cnet in conv_pyra to factor out some caffe setup / options.
refactor cap_util.cc, move capture iface to new cap_util.H. move camera capture classification mode to new cap_app.cc.
factor out run_one_blob_in_one_blob_out() and subtract_mean_and_copy_img_to_batch() into caffeif. add stub for capture_feats mode.
itermediate/incomplete commit. disp_util: display all images in a horzontal line instead of cycling them. caffeif: start factoring out conv layer to image functionality. currently it is still dupe'd, and it doesn't quite work in capture_feats (needs to get display img sizes earlier and/or allow them to be dynamic). conv_pyra may be broken/odd.

mwm