[GSoC] Develop OpenCV.js DNN modules for promising web use cases together with their tutorials
* [Opencv.js doc] Init commit to add image classification example in opencv.js tutorial
* [Opencv.js doc] Make the code snippet interactive and put the functions into code snippet.
* Fix the utils.loadOpenCv for promise module
* [Opencv.js doc] Code modify and fixed layout issue.
* [Opencv.js doc] Add a JSON file to store parameters for models and show in the web page.
* [Opencv.js doc] Change let to const.
* [Opencv.js doc] Init commit to add image classification example with camera in opencv.js tutorial
* [Opencv.js doc] Init commit to add semantic segmentation example in opencv.js tutorial
* [Opencv.js doc] Add object detection example, supprot YOLOv2
* [Opencv.js doc] Support SSD model for object detection example
* [Opencv.js doc] Add fast neural style transfer example with opencv.js
* [Opencv.js doc] Add pose estimation example in opencv.js tutorial
* Delete whitespace for code check
* [Opencv.js doc] Add object detection example with camera
* [Opencv.js doc] Add json files containing model information to each example
* [Opencv.js doc] Add a js file for common function in dnn example
* [Opencv.js doc] Create single function getBlobFromImage
* [Opencv.js doc] Add url of model into webpage
* [OpenCV.js doc] Update UI for running
* [Opencv.js doc] Load dnn model by input button
* [Opencv.js doc] Fix some UI issues
* [Opencv.js doc] Change code format
Co-authored-by: Ningxin Hu <ningxin.hu@intel.com>
Support for Pool1d layer for OpenCV and OpenCL targets
* Initial version of Pool1d support
* Fix variable naming
* Fix 1d pooling for OpenCL
* Change support logic, remove unnecessary variable, split the tests
* Remove other depricated variables
* Fix warning. Check tests
* Change support check logic
* Change support check logic, 2
Added SQPnP algorithm to SolvePnP
* Added sqpnp
* Fixed test case
* Added fix for duplicate point checking and inverse func reuse
* Changes for 3x speedup
Changed norm method (significant speed increase), changed nearest rotation computation to FOAM
* Added symmetric 3x3 inverse and unrolled loops
* Fixed error with SVD
* Fixed error from with indices
Indices were initialized negative. When nullspace is large, points coplanar, and rotation near 0, indices not changed.
Fixing dnn Resize layer for variable input size
* Fix onnx loading of resize/upsample layers for different opset
* group all DynamicResize tests
* cleaned up scales checks
* Simplify branching
Fix loading issue for Faster RCNN model from #16783
* Add a reproducer with multi-output Gather
* Fix an issue with ONNX graph simplifier
* fix build
* Move checks to correct class
* Minor changes for better code appearence
