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
This statement interferes with regular logging on the client side
where the OpenCV library's outputs cannot be managed by the user
and forcefully print out in the client code. For instance, this
is observed when OpenCV is used as a python library where it is
expected to provide optional loggers instead of direct writes to
stdout.
Alexander Alekhin
Kv Manohar
Plamen Dimitrov
catree
Vitaly Tuzov
berak
Alexander Alekhin
Hamdi Sahloul
Suleyman TURKMEN
Fangjun Kuang
klchang
Adam
Vadim Pisarevsky
Pavel Rojtberg
Maksim Shabunin