* Added ClipByValue subgraph

* Return const nodes

* Fix integer overflow in parseOption().

Previous code does not work for values like 100000MB.

* Fix warning during 32-bit build on inactive code path.

* fix build without C++11

Fixed NMSBoxes bug

* Added NMS for each class

* Updated cpp sample

* Fixed errors

* Refactoring

* Added NMS for IE

* fix documentation for cv::blur

* correct the position of ksize parameter

* add eigen tensor conversion functions

* add eigen tensor conversion tests

* add support for column major order

* update eigen tensor tests

* fix coding style and add conditional compilation

* fix conditional compilation checks

* remove whitespace

* rearrange functions for easier reading

* reformat function documentation and add tensormap unit test

* cleanup documentation of unit test

* remove condition duplication

* check Eigen major version, not minor version

* restrict to Eigen v3.3.0+

* add documentation note and add type checking to cv2eigen_tensormap()

Support FlowNet2 model

* Support DataAugmentation layer

* Fix warnings

* Fix comments

* Support Correlation layer

* TEST

* Support Correlation layer

* Supported Accum and FlowWarp layers

* Supported ChannelNorm layer

* Supported Resample with inputs.size() > 1

* Fixed comments

* Refactoring

* Added tests

* Add resample test

* Added asserts in resize layer

* Updated DataAugmentation layer

* Update convolution layer

* Refactoring

* Fix data augmentation layer

* Fix caffe importer

* Fix resize

* Switch to Mat ptr

* Remove useless resize type

* Used ResizeLayer in Accum

* Split ChannelNormLayer

* Delete duplicate assert

* Add sample

* Fix sample

* Added colormap

* Revise and expand kNN Python tutorials

* Correct NPTEL link

* Fixed indexing in prefilter

* Initialised prefilter

* Initialised prefilter with value initialisation

* Added TC to trigger different Mem Allocs in BufferBM

* Optimize cases with only needed conditions