5.x merge 4.x #3621
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5.x merge 4.x #3621
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…seek cudacodec::VideoReader: allow frame seek on initialization opencv#3542 Allow seeking of video source on initialization of `cudacodec::VideoReader` when new variable `VideoReaderInitParams::iFirstFrame` != 0. Dependant on opencv/opencv#24012 Fixes opencv#3541. ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake
freetype: Add function to load font from buffer(additional patch)
… when used with an external CUDA stream
CANN (Compute Architecture of Neural Networks), developped by Huawei, is a heterogeneous computing architecture for AI. Opencv DNN has already suppoted CANN backend [#22634](opencv/opencv#22634). There are more and more users using [Ascend NPU](https://www.hiascend.com/) and programming with CANN, and the number is still growing rapidly. AI training and inference are inseparable from data preprocessing. When users use OpenCV to work with CANN backend, data preprocessing can only run on CPUs, resulting in inefficiency. The purpose of this commit is to enable OpenCV operators on CANN backend. The usage of CANN backend is consistent, Please refer to OpenCV DNN: [CANN backend manual] (https://gist.github.com/fengyuentau/083f7f339592545c1f1d2c1fde6a53dc#file-a_ocv_cann-md): 1. [Install dependencies] (https://gist.github.com/fengyuentau/083f7f339592545c1f1d2c1fde6a53dc#install-dependencies) 2. [Install CANN] (https://gist.github.com/fengyuentau/083f7f339592545c1f1d2c1fde6a53dc#install-cann) 3. [Compile OpenCV with CANN] (https://gist.github.com/fengyuentau/083f7f339592545c1f1d2c1fde6a53dc#build-opencv-with-cann) The CANN backend is used in a similar way to CUDA: | Object | CANN | CUDA | | --------- | ------------ | -------- | | Namespace | cv::cann | cv::cuda | | Matrix | AscendMat | GpuMat | | Stream | AscendStream | Stream | | Event | AscendEvent | Event | The current commit provides CANN backend operator support framework, In order to make code viewing easy, only a few basic interfaces are implemented, all of the following operators are tested and compared result with CPU backend. More operators will continue implement in new independent commits. Co-authored-by: CaoMengqing <[email protected]>
Fixed CUDA StereoBM initialization
…ow_stream_sync `cudaoptflow`: fix `FarnebackOpticalFlow` internal stream synchronization when used with an external CUDA stream
`cuda`: add `moments`
…g_fix Binding fix for matchLOGOS with python test.
…upport `cuda`: CMake add CUDA first class language support
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The PR includes all changes in 4.x till 4.9.0 release.
Main OpenCV PR: opencv/opencv#24862
OpenCV Extra PR: opencv/opencv_extra#1142
Previous "Merge 4.x": #3587