Draft for Input_layer copied from Data_layer
Added input_layer to set of layers and to factory
Fixed input_layer to pass tests, added cat image to data to perform the tests
Added the option to resize_image to resize images using cv::resize while reading them
Renamed input_layer to images_layer
Fixed typos to pass test_images_layer
Enforce that new_height and new_width are both 0 or both > 0
Fixed command path in documentation
Merge pull request #187 from yosinski/doc-up

Fixed command path in documentation
Update README.md to fix missing } in bibtex
pycaffe: blobs and params are properties, not methods
Rename pycaffe.cpp -> _caffe.cpp in preparation for python wrapper

This commit should not break any code which does not refer explicitly to
caffe.pycaffe.
Add a pass-through Python wrapper of _caffe.CaffeNet

This commit restores caffe.pycaffe as Python code that wraps
caffe._caffe. It also renames caffe.CaffeNet as the less-redundant
caffe.Net.
Use an OrderedDict for caffe.Net.blobs
Update detector.py to use the new Net/blobs interface
Update imagenet/wrapper.py to use the new Net interface
Merge pull request #120 from sguada/images_layer

Images layer: A data provider layer directly from images
Compile a binary to run all tests at once.
More documentation on running tests (including --gtest_filter info).
note CUDA lib without CUDA driver install for CPU mode