- update to 4.5.2, highlights below, for details check
  https://github.com/opencv/opencv/wiki/ChangeLog#version452
  * core: added support for parallel backends.
  * imgproc: added IntelligentScissors implementation (JS demo).
  * videoio: improved hardware-accelerated video de-/encoding tasks.
  * DNN module:
    + Improved debugging of TensorFlow parsing errors: #19220
    + Improved layers / activations / supported more models:
      - optimized: NMS processing, DetectionOutput
      - fixed: Div with constant, MatMul, Reshape
        (TensorFlow behaviour)
      - added support: Mish ONNX subgraph, NormalizeL2 (ONNX),
        LeakyReLU (TensorFlow), TanH + SAM (Darknet), Exp
    + Intel® Inference Engine backend ( OpenVINO™ ):
      added support for OpenVINO 2021.3 release
  * G-API module:
    + Python support:
      - Introduced a new Python backend - now G-API can run custom
        kernels written in Python as part of the pipeline: #19351
      - Extended Inference support in the G-API bindings: #19318
      - Added more graph data types in the G-API bindings: #19319
    + Inference support:
      - Introduced dynamic input / CNN reshape functionality in the
        OpenVINO inference backend #18240
      - Introduced asynchronous execution support in the OpenVINO
        inference backend, now it can run in multiple parallel
	requests to increase stream density/throughput: #19487, #19425
      - Extended supported data types with INT64/INT32 in ONNX
        inference backend and with INT32 in the OpenVINO inference
	backend #19792
      - Introduced cv::GFrame / cv::MediaFrame and constant support
        in the ONNX backend: #19070
    + Media support:
      - Introduced cv::GFrame / cv::MediaFrame support in the
        drawing/rendering interface: #19516
      - Introduced multi-stream input support in Streaming mode
        and frame synchronization policies to support cases like
	Stereo: #19731
      - Added Y and UV operations to access NV12 data of cv::GFrame
        at the graph level; conversions are done on-the-fly if the
	media format is different: #19325
    + Operations and kernels:
      - Added performance tests for new operations (MorphologyEx,
        BoundingRect, FitLine, FindContours, KMeans, Kalman,
	BackgroundSubtractor)
      - Fixed RMat input support in the PlaidML backend: #19782
      - Added ARM NEON optimizations for Fluid AbsDiffC, AddWeighted,
        and bitwise operations: #18466, #19233
      - Other various static analysis and warning fixes
    + Documentation:
      - [GSoC] Added TF/PyTorch classification conversion: #17604
      - [GSoC] Added TF/PyTorch segmentation conversion: #17801
      - [GSoC] Added TF/PyTorch detection model conversion: #18237
      - Updated documentation to address Wide Universal Intrinsics
	(WUI) SIMD API: #18952
    + And many other great contributions from OpenCV community:
      - core: cuda::Stream constructor with stream flags: #19286
      - highgui: pollKey() implementation for w32 backend: #19411
      - imgcodecs: Added Exif parsing for PNG: #19439
      - imgcodecs: OpenEXR compression options: #19540
      - imgproc: connectedComponents optimizations: (Spaghetti
        Labeling): #19631
      - videoio: Android NDK camera support #19597
      - (contrib) WeChat QRCode module open source: #2821
      - (contrib) Implemented cv::cuda::inRange(): #2803
      - (contrib) Added algorithms from Edge Drawing Library: #2313
      - (contrib) Added Python bindings for Viz module: #2882
- Add libva build dependency for HW accelerated videoio
- Slight bump for memory constraints

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