Merge pull request #1253 from kvmanohar22:GSoC17_dnn_objdetect

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

modules/dnn_objdetect/src/precomp.hpp

@@ -0,0 +1,18 @@
+// This file is part of OpenCV project.
+// It is subject to the license terms in the LICENSE file found in the top-level directory
+// of this distribution and at http://opencv.org/license.html.
+#ifndef __OPENCV_DNN_OBJDETECT_PRECOMP_HPP__
+#define __OPENCV_DNN_OBJDETECT_PRECOMP_HPP__
+
+#include <iostream>
+#include <vector>
+#include <memory>
+#include <string>
+#include <map>
+#include <numeric>
+#include <algorithm>
+
+#include "opencv2/core.hpp"
+#include "opencv2/dnn.hpp"
+
+#endif // __OPENCV_DNN_OBJDETECT_PRECOMP_HPP__