Library of programming functions mainly aimed at real-time vision

OpenCV for Mac

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OpenCV 4.7.0

  -  121 MB  -  Open Source
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Security Status

Sometimes latest versions of the software can cause issues when installed on older devices or devices running an older version of the operating system.

Software makers usually fix these issues but it can take them some time. What you can do in the meantime is to download and install an older version of OpenCV 4.7.0.


For those interested in downloading the most recent release of OpenCV for Mac or reading our review, simply click here.


All old versions distributed on our website are completely virus-free and available for download at no cost.


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Download OpenCV 4.7.0

  • OpenCV 4.7.0 Screenshots

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    OpenCV 4.7.0 Screenshot 1
  • OpenCV 4.7.0 Screenshot 2

What's new in this version:

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

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