Collection of algorithms for computer vision

Edit Package opencv
https://opencv.org/

OpenCV means Intel® Open Source Computer Vision Library. It is a collection of C
functions and a few C++ classes that implement some popular Image Processing and
Computer Vision algorithms.

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Source Files
Filename Size Changed
_constraints 0000000401 401 Bytes
opencv-4.7.0.tar.gz 0091027497 86.8 MB
opencv.changes 0000071091 69.4 KB
opencv.spec 0000015330 15 KB
opencv_contrib-4.7.0.tar.gz 0059421940 56.7 MB
Revision 35 (latest revision is 38)
Stefan Brüns's avatar Stefan Brüns (StefanBruens) accepted request 1045728 from Stefan Brüns's avatar Stefan Brüns (StefanBruens) (revision 35)
- update to 4.7.0, highlights below, for details check
  https://github.com/opencv/opencv/wiki/ChangeLog#version470
  Highlights of this release:
  * DNN:
    + New ONNX layers: Scatter and ScatterND, Tile, ReduceL1,
      ReduceMin and more.
    + Signinficant performance optimization for convolutions.
      Winograd algoritm implementation.
    + Element-wise operation (add, sub, mul, div, ...):
      Broadcasting.
    + OpenVino 2022.1 support.
    + CANN backend support.
  * Algorithms:
    + ArUco markers and April tags support including ChAruco and
      diamond boards detection and calibration.
    + QR code detection and decoding quality imrovement. Alignment
      markers support. Benchmark for QR codes: link
    + Nanotrack v2 tracker based on neural networks.
    + Stackblur algoruthm implementation.
  * Multimedia:
    + FFmpeg 5.x support.
    + CUDA 12.0 support. Hardware accelerated video codecs support
      on NVIDIA platforms with modern Video Codec SDK (NVCUVID and
      NVENCODEAPI).
    + CV_16UC1 read/write video support with FFmpeg.
    + Orientation meta support on Mac with native media API.
    + New iterator-based API for multi-page image formats.
    + libSPNG support for PNG format.
    + SIMD acceleration for self-built libJPEG-Turbo
    + H264/H265 support on Android. Multiple fixes for video
      decoder, endcoder and camera memory layout.
  * G-API
    + Exposed all core APIs to Python, including stateful kernels.
  * Optimization:
    + New universal intrinsics backend for scalable vector
      instructions. The first scalable implementation for
      RISC-V RVV 1.0.
    + DNN module patches:
      - Improved layers / supported more models:
        *  Scatter and ScatterND #22529, Tile #22809
        *  Fixes in Slice (support negative step #22898)
        *  Support some reduce layers of ONNX #21601
      - Added CANN backend support #22634. Link to the manual:
        https://github.com/opencv/opencv/wiki/Huawei-CANN-Backend.
      - Added bacthed NMS for multi-class object detection #22857
      - Accelerating convolution, especially for ARM CPU.
      - Winograd's convolution optimization
  + And many other contributions:
    +   Added n-dimensional flip to core #22898
    +   Add StackBlur for imgproc #20379
- Removed upstream opencv-ffmpeg5.patch
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