Enable frame timestamp tests for MSMF
Add functional test for camera live timestamps
Remove trailing whitespace
Add timestamp test to all functional tests. Protect div by 0
Add Timestamps to MSMF Video Capture by index
Add option for NMS for boxes with different labels
* DetectionModel impl
* Add option for NMS for boxes with different labels
In the detect function in modules/dnn/include/opencv2/dnn/dnn.hpp, whose implementation can be found at modules/dnn/src/model.cpp, the Non Max Suppression (NMS) is applied only for objects of the same label. Thus, a flag
was added with the purpose to allow developers to choose if they want to keep the default implementation or wether they would like NMS to be applied to all the boxes, regardless of label.
The flag is called nmsDifferentLabels, and is given a default value of false, which applies the current default implementation, thus allowing existing projects to update opencv without disruption
Solves issue opencv#18832
* Change return type of set & Add default constr
* Add assertions due to default constructor
The test has race condition, which is addressed by the patch.
The race is next:
Master thread is calling execute (effectively blocked, waiting for
callback to be called)
"Async" thread picks up the callback
Call the callback
Then sets the variables in test
After call back is called, master thread is unblocked and may check
the variables (set in point 4 by the "async" thread) earlier then they
actually changed
Changes:
callback should be called as the last step (after flag variables are
set), as it effectively unblock the master thread
fixes#18974
- explicitly declared default constructor
- made initilizer_list constructor to accept the list by copy
-- as it is more canonical (and as copying the initializer_list does
not force copy of the list items)
-- current version anyway does not do what it is intended to
- Suppressed FFMPEG + h264, h265 as it does not pass tests with CI configuration.
- Suppressed MediaFoundation backend as it always returns zero for now.
[G-API]: kmeans() Standard Kernel Implementation
* cv::gapi::kmeans kernel implementation
- 4 overloads:
- standard GMat - for any dimensionality
- GMat without bestLabels initialization
- GArray<Point2f> - for 2D
- GArray<Point3f> - for 3D
- Accuracy tests:
- for every input - 2 tests
1) without initializing. In this case, no comparison with cv::kmeans is done as kmeans uses random auto-initialization
2) with initialization
- in both cases, only 1 attempt is done as after first attempt kmeans initializes bestLabels randomly
* Addressing comments
- bestLabels is returned to its original place among parameters
- checkVector and isPointsVector functions are merged into one, shared between core.hpp & imgproc.hpp by placing it into gmat.hpp (and implementation - to gmat.cpp)
- typos corrected
* addressing comments
- unified names in tests
- const added
- typos
* Addressing comments
- fixed the doc note
- ddepth -> expectedDepth, `< 0 ` -> `== -1`
* Fix unsupported cases of input Mat
- supported: multiple channels, reversed width
- added test cases for those
- added notes in docs
- refactored checkVector to return dimentionality along with quantity
* Addressing comments
- makes chackVector smaller and (maybe) clearer
* Addressing comments
* Addressing comments
- cv::checkVector -> cv::gapi::detail
* Addressing comments
- Changed checkVector: returns bool, quantity & dimensionality as references
* Addressing comments
- Polishing checkVector
- FIXME added
* Addressing discussion
- checkVector: added overload, separate two different functionalities
- depth assert - out of the function
* Addressing comments
- quantity -> amount, dimensionality -> dim
- Fix typos
* Addressing comments
- fix docs
- use 2 variable's definitions instead of one (for all non-trivial variables)
* TBB executor for GAPI
- the sole executor
- unit tests for it
- no usage in the GAPI at the momnet
* TBB executor for GAPI
- introduced new overload of execute to explicitly accept tbb::arena
argument
- added more basic tests
- moved arena creation code into tests
-
* TBB executor for GAPI
- fixed compie errors & warnings
* TBB executor for GAPI
- split all-in-one execute() function into logicaly independant parts
* TBB executor for GAPI
- used util::variant in in the tile_node
* TBB executor for GAPI
- moved copy_through_move to separate header
- rearranged details staff in proper namespaces
- moved all implementation into detail namespace
* TBB executor for GAPI
- fixed build error with TBB 4.4.
- fixed build warnings
* TBB executor for GAPI
- aligned strings width
- fixed spaces in expressions
- fixed english grammar
- minor improvements
* TBB executor for GAPI
- added more comments
- minor improvements
* TBB executor for GAPI
- changed ITT_ prefix for macroses to GAPI_ITT
* TBB executor for GAPI
- no more "unused" warning for GAPI_DbgAssert
- changed local assert macro to man onto GAPI_DbgAssert
* TBB executor for GAPI
- file renamings
- changed local assert macro to man onto GAPI_DbgAsse
* TBB executor for GAPI
- test file renamed
- add more comments
* TBB executor for GAPI
- minor clenups and cosmetic changes
* TBB executor for GAPI
- minor clenups and cosmetic changes
* TBB executor for GAPI
- changed spaces and curly braces alignment
* TBB executor for GAPI
- minor cleanups
* TBB executor for GAPI
- minor cleanups
[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>
