- update to 4.5.1, highlights below, for details check
  https://github.com/opencv/opencv/wiki/ChangeLog#version451
  * Continued merging of GSoC 2020 results:
    + Develop OpenCV.js DNN modules for promising web use cases
      together with their tutorials
    + OpenCV.js: WASM SIMD optimization 2.0
    + High Level API and Samples for Scene Text Detection and
      Recognition
    + SIFT: SIMD optimization of GaussianBlur 16U
  * DNN module:
    + Improved layers / activations / supported more models:
      - optimized: 1D convolution, 1D pool
      - fixed: Resize, ReduceMean, Gather with multiple outputs,
        importing of Faster RCNN ONNX model
      - added support: INT32 ONNX tensors
    + Intel® Inference Engine backend (OpenVINO):
      - added support for OpenVINO 2021.2 release
      - added preview support for HDDL
    + Fixes and optimizations in DNN CUDA backend (thanks to
      @YashasSamaga)
  * G-API Framework:
    + Introduced serialization for cv::RMat, including
      serialization for user-defined memory adapters
    + Introduced desync, a new Operation for in-graph asynchronous
      execution - to allow different parts of the graph run with
      a different latency
    + Introduced a notion of "in-graph metadata", now various
      media-related information can be accessed in graph directly
      (currently only limited to timestamps and frame IDs)
    + Introduced a new generic task-based executor, based on
      Threading Building Blocks (TBB)
    + Extended infer<>() API to accept a new cv::GFrame data
      structure to allow handling of various media formats without
      changes in the graph structure
    + Made copy() an intrinsic where real copy may not happen
      (optimized out) based on graph structure, extended it to
      support cv::GFrame
    + Various fixes, including addressig static analysis,
      documentation, and test issues
  * G-API Operations:
    + Introduced new operations morphologyEx, boundingRect,
      fitLine, kmeans, Background Subtractor, Kalman filter
  * G-API Intel® Inference Engine backend (OpenVINO):
    + Extended cv::gapi::ie::Params<> to import CNN networks (e.g.
      pre-compiled ones) instead of passing .XML and .BIN files;
      also enabled configuring Inference Engine plugins via
      this structure
    + Added a new overload to infer<>() to run inference over a
      single region of interest
    + Added support for cv::MediaFrame input data type (projected
      from cv::GFrame) and handling for NV12 input image format
  * G-API Python bindings:
    + Exposed G-API's Inference and Streaming APIs in the OpenCV
      Python bindings
    + Added initial Python support for cv::GArray data structure
  * Significant progress on RISC-V port.
- Updated constraints, bump memory to 5 GB
- Cleaned up spec file

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