GSoC'17 Learning compact models for object detection (#1253
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* 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
Kv Manohar