Removed g-api from the main repo #26469
Following #25000.
CI patch: https://github.com/opencv/ci-gha-workflow/pull/196
This is migration of G-API from opencv to opencv_contrib, part 1.
Here we simply remove G-API from the main repo. The next patch should bring G-API to opencv_contrib.
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HAL added for add(array, scalar) #25624
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Fix empty mat debug assertion #26444
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int64 data type support for FileStorage. 1d and empty Mat with exact dimensions #26434
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Port of https://github.com/opencv/opencv/pull/26399 to 4.x branch
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Backport C++ stereo/stereo_geom.cpp:5.x to calib3d/stereo_geom.cpp:4.x #26437
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Modify DNN Samples to use ENGINE_CLASSIC for Non-Default Back-end or Target #26334
PR resolves#26325 regarding fall-back to ENGINE_CLASSIC if non-default back-end or target is passed by user.
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int64 data type in FileStorage #26399
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resolves#23333
Proposed approach is not perfect in terms of complexity and potential bugs. Instead of changing `INT` raw size from `4` to `8`, we check int64 value can be fitted to int32 or not.
Collections such as cv::Mat rely on data type symbol.
This PR is addressed to 5.x branch first to cover `CV_64S` Mat. Later, it can be backported to 4.x
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Support 0d/1d Mat in FileStorage #26420
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Fixed FP16 mat comparison in tests #26400
make sure that if both compared FP16/BF16 values are bitwise-equal, assume their difference to be 0 (zero), just like in the case of FP32 and FP64, don't try to compare them as floating-point numbers, because they can be NaN's.
**fixes** #24894
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Added extra tests for reshape #26254
Attempt to reproduce problems described in #25174. No success; everything works as expected. Probably, the function has been used improperly. Slightly modified the code of Mat::reshape() to provide better diagnostic.
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Add interface to Annoy which will replace the FLANN #25708
This PR is to add interface to [Annoy](https://github.com/spotify/annoy) which will replace the FLANN, part of one of the cleanup work of OpenCV 5.0: #24998.
After it, there will be consecutive patches:
- [ ] Add Annoy based DescriptorMatcher
- [ ] Replace FLANN based code with Annoy and remove FLANN completely
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Modified Caffe parser to support the new dnn engine #26208
Now the Caffe parser supports both the old and the new engine. It can be selected using newEngine argument in PopulateNet.
All cpu Caffe tests work fine except:
- Test_Caffe_nets.Colorization
- Test_Caffe_layers.FasterRCNN_Proposal
Both these tests doesn't work because of the bug in the new net.forward function. The function takes the name of the desired target last layer, but uses this name as the name of the desired output tensor.
Also Colorization test contains a strange model with a Silence layer in the end, so it doesn't have outputs. The old parser just ignored it. I think, the proper solution is to run this model until the (number_of_layers - 2) layer using proper net.forward arguments in the test.
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doc: fix doxygen errors at Algorithm and QRCodeEncoder #26373
Close https://github.com/opencv/opencv/issues/26372
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Fix hfloat conflicts of v_func in merging 4.x to 5.x #26369
This PR solves the conflicts in merging 4.x to 5.x https://github.com/opencv/opencv/pull/26358
1. Explicitly convert the inputs number for `v_setall_` to hfloat number
2. Loosens the threshold for `v_sincos` test. (related issue: https://github.com/opencv/opencv/issues/26362)
3. Remove the new but temp api `template <> inline v_float16x8 v_setall_(float v) { return v_setall_f16((hfloat)v); }`
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