GSoC'17 Learning compact models for object detection (#1253)

* Final solver and model for SqueezeNet model

* update README

* update dependencies and CMakeLists

* add global pooling

* Add training scripts

* fix typo

* fix dependency of caffe

* fix whitespace

* Add squeezedet architecture

* Pascal pre process script

* Adding pre process scripts

* Generate the graph of the model

* more readable

* fix some bugs in the graph

* Post process class implementation

* Complete minimal post processing and standalone running

* Complete the base class

* remove c++11 features and fix bugs

* Complete example

* fix bugs

* Adding final scripts

* Classification scripts

* Update README.md

* Add example code and results

* Update README.md

* Re-order and fix some bugs

* fix build failure

* Document classes and functions

* Add instructions on how to use samples

* update instructionos

* fix docs failure

* fix conversion types

* fix type conversion warning

* Change examples to sample directoryu

* restructure directories

* add more references

* fix whitespace

* retain aspect ratio

* Add more examples

* fix docs warnings

* update with links to trained weights

* threshold update

* png -> jpg

* fix tutorial

* model files

* precomp.hpp , fix readme links, module dependencies

* copyrights

- no copyright in samples
- use new style OpenCV copyright header
- precomp.hpp