Added an iscolor flag to io.cpp method ReadImageToDatum to handle grayscale images and a corresponding commandline flag [-g] to convert_imageset.cpp.
Changed variable name: iscolor to is_color.
add fish bike example image
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.
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
actually check status values from all HDF5 calls
check if window file is empty in WindowDataLayer

Also note that window files containing windows with different numbers of
channels may not work correctly.
initialize in declared order
remove unused variables
move CUDA 6.0 check into switch statement itself

This allows -Wswitch to be turned on so that the compiler can check
exhaustiveness.
initialize and comment variables that the compiler finds suspicious