dnn: Fix output mismatch when forward dnn model contain [depthwise conv(group=1) + bn + prelu]  (#11649)

* this can make sure [depthwise conv(group=1) + bn + prelu] output not shift

* add TEST to show the output mismatch in [DWconv+Prelu]

* fix typo

* change loading image to init cvMat directly

* build runtime model, without loading external model

* remove whitespace

* change way to create a cvmat

* add bias_term, add target output

* fix [dwconv + prelu] value mismatch when no optimizations

* fix Test error when change output channels

* add parametric test

* change num_output to group value

* change conv code and change test back

* Added ResizeBilinear op for tf

Combined ResizeNearestNeighbor and ResizeBilinear layers into Resize (with an interpolation param).

Minor changes to tf_importer and resize layer to save some code lines

Minor changes in init.cpp

Minor changes in tf_importer.cpp

* Replaced implementation of a custom ResizeBilinear layer to all layers

* Use Mat::ptr. Replace interpolation flags

- requires OpenCV source directory
- requires OpenCV binary directory with built modules and 'python_bindings_generator' target

* core:ppc Fix java CoreTest/testMahalanobis

* core:ppc Fix warning unused variable on clang

should hide unnecessary 'info' messages

Tested with:
- pylint 1.9.1

* StereoBM: fixed SIMD processing for fixed-type output arrays

* changed norm type and threshold, added assertion

* fixed disp_shift

If this seems too wordy, take into account a new user who tries to find out extent of FP16 support in OpenCV.

* add universal intrinsics for HSV2RGB_b

* rewritten HSV2RGB_b without using extra universal intrinsics

* removed unused variable

* undo changes in v_load_deinterleave

fixes handling of empty matrices in some functions (#11634)

* a part of PR #11416 by Yuki Takehara

* moved the empty mat check in Mat::copyTo()

* fixed some test failures

Other links:
- https://raw.githubusercontent.com/opencv/opencv/master
- https://github.com/opencv/opencv/blob/master

Use "OPENCV_FFMPEG_USE_FIND_PACKAGE" variable to specify find_package() parameters

* Update Intel's Inference Engine deep learning backend

* Remove cpu_extension dependency

* Update Darknet accuracy tests