Added more types support to dnn layers #25755
Added support of more types to dnn layers for CPU, CUDA and OpenVINO backends.
Now most of the multi-type layers support uint8, int8, int32, int64, float32, float16, bool types.
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Fill mean and stdDev tails with zeros for HAL branch in meanStdDev #25789
as it's done for other branches.
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Fixed blank layer for OpenVINO 2022.1 #25739
Changed blank layer because it didn't work with old OpenVINO versions(2022.1). The blank layer was implemented using ConvertLike layer, now it is implemented using ShapeOf and Reshape layers.
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Highgui backend on top of Framebuffer #25661
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Environment variables used:
OPENCV_UI_BACKEND - you need to add the value “FB”
OPENCV_UI_PRIORITY_FB - requires priority indication
OPENCV_HIGHGUI_FB_MODE={FB|XVFB|EMU} - mode of using Framebuffer (default "FB")
- FB - Linux Framebuffer
- XVFB - virtual Framebuffer
- EMU - emulation (images are not displayed)
OPENCV_HIGHGUI_FB_DEVICE (FRAMEBUFFER) - path to the Framebuffer file (default "/dev/fb0").
Examples of using:
sudo OPENCV_UI_BACKEND=FB ./opencv_test_highgui
sudo OPENCV_UI_PRIORITY_FB=1111 ./opencv_test_highgui
OPENCV_UI_BACKEND=FB OPENCV_HIGHGUI_FB_MODE=EMU ./opencv_test_highgui
sudo OPENCV_UI_BACKEND=FB OPENCV_HIGHGUI_FB_MODE=FB ./opencv_test_highgui
export DISPLAY=:99
Xvfb $DISPLAY -screen 0 1024x768x24 -fbdir /tmp/ -f /tmp/user.xvfb.auth&
sudo -u sipeed XAUTHORITY=/tmp/user.xvfb.auth x11vnc -display $DISPLAY -listen localhost&
DISPLAY=:0 gvncviewer localhost&
FRAMEBUFFER=/tmp/Xvfb_screen0 OPENCV_UI_BACKEND=FB OPENCV_HIGHGUI_FB_MODE=XVFB ./opencv_test_highgui
dnn: add DepthToSpace and SpaceToDepth #25779
We are working on updating WeChat QRCode module. One of the new models is a fully convolutional model and hence it should be able to run with different input shapes. However, it has an operator `DepthToSpace`, which is parsed as a subgraph of `Reshape -> Permute -> Reshape` with a fixed shape getting during parsing. The subgraph itself is not a problem, but the true problem is the subgraph with a fixed input and output shape regardless input changes. This does not allow the model to run with different input shapes.
Solution is to add a dedicated layer for DepthtoSpace and SpaceToDepth.
Backend support:
- [x] CPU
- [x] CUDA
- [x] OpenCL
- [x] OpenVINO
- [x] CANN
- [x] TIMVX
- ~Vulkan~ (missing fundamental tools, like permutation and reshape)
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Extending G-API onnx::Params to pass arbitrary session options #25791
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Add missing cv2eigen overload #25751Fixes#16606
Add overloads to cv2eigen to handle eigen matrices of type
Eigen::Matrix<Tp_, Eigen::Dynamic, Eigen::Dynamic, Eigen::RowMajor>
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video: fix vittrack in the case where crop size grows until out-of-memory when the input is black #25771
Fixes https://github.com/opencv/opencv/issues/25760
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Use onRuntimeInitialized with OpenCV.js Node tests #25757
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tests: https://github.com/opencv/ci-gha-workflow/pull/174
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Accuracy tests for equalizeHist() added #25759
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Fix OpenCV.js tests #25732
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* Firefox tests passed
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Additional Comments for Conformance Denylist #25727
This PR adds additional comments on conformance denylist. Once BOOL type got support in 5.x, some test layer changed their failing issue.
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Relates to #24603
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Added bool support to dnn #25605
Added bool support to dnn pipeline (CPU, OpenVINO and CUDA pipelines).
Added bool support to these layers(CPU and OpenVINO):
- Equal, Greater, GreaterOrEqual, Less, LessOrEqual
- Not
- And, Or, Xor
- Where
Enabled all the conformance tests for these layers.
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Tests added for mixed type arithmetic operations #25671
### Changes
* added accuracy tests for mixed type arithmetic operations
_Note: div-by-zero values are removed from checking since the result is implementation-defined in common case_
* added perf tests for the same cases
* fixed a typo in `getMulExtTab()` function that lead to dead code
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Suppress build warnings for GCC14 #25686Close#25674
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Fix Homography computation. #25665
The bug was introduced in https://github.com/opencv/opencv/pull/25308
I am sorry I do not have a proper test.
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Support Global_Pool_2D ops in .tflite model #25613
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**Merge with extra**: https://github.com/opencv/opencv_extra/pull/1180
This PR adds support for `GlobalAveragePooling2D` and `GlobalMaxPool2D` on the TFlite backend. When the k`eep_dims` option is enabled, the output is a 2D tensor, necessitating the inclusion of an additional flatten layer. Additionally, the names of these layers have been updated to match the output tensor names generated by `generate.py` from the opencv_extra repository.
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Reverted contour approximation behavior #25680
Related issue #25663 - revert new function behavior despite it returning different result than the old one (reverts PR #25672).
Also added Coverity issue fix.
Port G-API ONNXRT backend into V2 API #25662
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Slice layer parser fix to support empty input case #25660
This PR fixes Slice Layer's parser to handle empty input cases (cases with initializer)
It fixed the issue rased in #24838
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Alexander Smorkalov
Mikhail Khachayants
Dan Mašek
alexlyulkov
Alexander Smorkalov
kozinove
Letu Ren
Yuantao Feng
Ujjayant Kadian
Simon Kämpe
Yuantao Feng
Dmitry Kurtaev
Rostislav Vasilikhin
Alexander Lyulkov
Robert Lexmann
Abduragim Shtanchaev
Pierre Chatelier
Maxim Smolskiy
Maksim Shabunin
Alexander Panov
Vadim Levin
cudawarped
Patrick Keane
Kumataro
Vincent Rabaud
CNOCycle