Library of programming functions mainly aimed at real-time vision

OpenCV

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OpenCV 4.5.0

  -  209 MB  -  Open Source
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  • Latest Version

    OpenCV 4.10.0

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    Windows XP / Vista / Windows 7 / Windows 8 / Windows 10

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  • Author / Product

    OpenCV Team / External Link

  • Filename

    opencv-4.5.0-vc14_vc15.exe

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 4.5.0.


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


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Download OpenCV 4.5.0

  • OpenCV 4.5.0 Screenshots

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    OpenCV 4.5.0 Screenshot 1
  • OpenCV 4.5.0 Screenshot 2
  • OpenCV 4.5.0 Screenshot 3
  • OpenCV 4.5.0 Screenshot 4

What's new in this version:

- OpenCV 4.5.0 licence has been changed to Apache 2: OE-32 - Change OpenCV License to Apache 2
- OpenJPEG replaces Jasper in distributed Windows packages: #18194
- Added support for OpenCL multiple contexts

DNN module:
Improved layers / activations / supported more models:
- ONNX: ReduceSum, Gather, improved Reshape

Intel® Inference Engine backend ( OpenVINO™ ):
- added support for OpenVINO 2021.1 release

- Fixes and optimizations in DNN CUDA backend (thanks to @YashasSamaga): PRs

G-API module:
- Added Python bindings for the general G-API (#17493), inference and streaming support are currently in progress
- Introduced serialization API, currently limited. A graph can be serialized to a byte stream (std::vector) and then reconstructed back to a cv::GComputation object
- OpenVINO NN backend has been moved to the latest OpenVINO "Core" APIs
- Now it is easier to declare a graph with a dynamic number of inputs or outputs (GIn() / GOut() support operator+=)
- Added "mask", extended "convertTo" with 16S, also added performance tests on Core kernels for the Fluid backend
- Added standard NN post-processing operations like parseYolo and parseSSD to turn NN results into a structured graph-based data format (e.g. GArray)

Added value initialization for GArray so now one can write:
- cv::GArray arr = std::vector { 1, 2, 3 }
- to associate a cv::GArray<> with a value at graph construction stage
- cv::GMat bitwise operators are extended with a cv::GScalar operand
- Introduced a new graph data type cv::GFrame and its data storage type cv::MediaFrame to start handling media-oriented formats (like NV12 or YUV images with external memory) in the graph

And many other great contributions from OpenCV community:
- flann module fixes / improvements by @pemmanuelviel: PRs
- Add Robot-World/Hand-Eye calibration function

GSoC 2020 merged projects:
- GSoC: Better SIFT in the main repository
- GSoC: Improvement of Random Sample Consensus in OpenCV
- GSoC: Real-time Single Object Tracking using Deep Learning
- GSoC: Revise/improve Text and Digit Recognition Samples
- GSoC: Optimize OpenCV for RISC-V
- GSoC (opencv_contrib): OpenCV bindings for Julia
- GSoC (opencv_contrib): Implement Macbeth Chart detector and AprilTag3
- GSoC (opencv_contrib): Depth Fusion for large scale environments

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