set global size with real output size, also optimize

max pooling index computation if necessary.
Signed-off-by: NLi Peng <peng.li@intel.com>

to control DNN_BACKEND_DEFAULT enumeration value behavior

* Update Intel's Inference Engine deep learning backend

* Remove cpu_extension dependency

* Update Darknet accuracy tests

- eliminate rand() calls
- non initialized members/ variables
- unused return values
- missing/useless NULL checks

Signed-off-by: NLi Peng <peng.li@intel.com>

  * let OpenCL kernel run only on Intel GPU
  * brush up the workaround based on 9a2b028 from alalek

* Custom deep learning layers support

* Stack custom deep learning layers

Enable FP16 GPU target for DL Inference Engine backend.

include relu6 ocl kernel and layer fusion support
Signed-off-by: NLi Peng <peng.li@intel.com>

Found via `codespell`

* Added the imagesFromBlob method to the dnn module.

* Rewritten imagesFromBlob based on first dkurt comments

* Updated code with getPlane()

* Modify comment of imagesFromBlob() in dnn module

* modified comments, removed useless assertions & added OutputArrayOfArray

* replaced tabs with whitespaces & put vectorOfChannels instantiation outside the loop

* Changed pre-commit.sample to pre-commit in .git/hooks/

* Added a test for imagesFromBlob in test_misc.cpp (dnn)

* Changed nbOfImages, robustified test with cv::randu, modified assertion

Signed-off-by: NLi Peng <peng.li@intel.com>

* Intel Inference Engine deep learning backend.

* OpenFace network using Inference Engine backend

Signed-off-by: NLi Peng <peng.li@intel.com>

Signed-off-by: NLi Peng <peng.li@intel.com>