add DummyDataLayer tests
Merge pull request #480 from jeffdonahue/dummy-data-layer

Dummy data layer
lint dummy data layer
fix old detect.py default
pycaffe Detector crops with surrounding context

- caffe.Detector learned how to crop windows with context in the R-CNN
  style s.t. the bordero of the network input is a given amount of
  context.
- add --context_pad arg to detect.py for amount of context. Default is
  16, as in R-CNN.
make R-CNN the Caffe detection example
edit detection example, include R-CNN NMS
make selective search proposals with R-CNN configuration
finish R-CNN detection example

- run through and save new output
- collect region proposals with R-CNN configuration (see sergeyk/selective_search_ijcv_with_python)
- call detect.py in GPU mode
- fix NMS plotting: X and Y coords were accidentally exchanged. print scores too.
fix clang compilation problem w/ DummyDataLayer
groom install docs

- make OS X boost compilation more clear
- make punctuation more sincere
drop learning rates and decays from deploy model
pycaffe: leave grayscale images gray according to arg
Merge pull request #469 from weinman/grayscale-io-convert

Add grayscale input processing for intensity images in tools and
pycaffe.
Merge pull request #482 from shelhamer/rcnn-detector-example

Make R-CNN the Caffe detection example
save from python for net surgery

0. Scheme desired parameters.
1. Do surgery on the net through `net.params['name'][idx].data[...] = `.
2. Save post-operation net params by `net.save('fname')`.

Handwoven deep nets, anyone?
define fully-convolutional imagenet model
make notebook for net surgery of fully-convolutional model
make test_net use DUMMY_DATA instead of leveldb
Merge pull request #496 from jeffdonahue/test-net-use-dummy-data

Make test_net use DUMMY_DATA instead of DATA (leveldb)