Fisheye test has been updated to use new enum cv::fisheye::CALIB_ZERO_DISPARITY and included CV_StaticAssert(...) to ensure cv::CALIB_ZERO_DISPARITY == cv::fisheye::CALIB_ZERO_DISPARITY.
- detect case with infinite loop and raise NoConv exception
- handle such exception
- add support for case with missing `blobDetector` (image contains Point2f array of candidates)
- add regression test
- undone rectification for "failed" detections too
- drop redirectError() usage
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
- Suppressed FFMPEG + h264, h265 as it does not pass tests with CI configuration.
- Suppressed MediaFoundation backend as it always returns zero for now.
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
The most of target machine use one type cpu unit resource
to execute some one type of instruction, e.g.
all vx_load API use load/store cpu unit,
and v_muladd API use mul/mula cpu unit, we interleave
vx_load and v_muladd to improve performance on most targets like
RISCV or ARM.
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