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  "path": "/2026/06/10/opencv-5-release-new-dnn-engine-with-enhanced-onnx-and-llm-vlm-support-intel-arm-and-risc-v-hardware-optimizations/",
  "publishedAt": "2026-06-10T03:31:49.000Z",
  "site": "https://www.cnx-software.com",
  "tags": [
    "Graphics",
    "Linux",
    "Programming",
    "Software management",
    "3d",
    "arm",
    "artificial intelligence (AI)",
    "C/C++",
    "computer vision",
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    "OpenCV 5 release – New DNN engine with enhanced ONNX and LLM/VLM support, Intel, Arm, and RISC-V hardware optimizations",
    "CNX Software - Embedded Systems News"
  ],
  "textContent": "OpenCV 5 open-source computer vision library has recently been released with a brand-new DNN (Deep Neural Network) engine that provides better ONNX coverage and enables LLM/VLM support. The fifth version of the popular CV library also adds support for Intel, Arm, Qualcomm, and RISC-V hardware acceleration, improved 3D vision, and various new core features such as new data types, real N-dimensional and scalar support, and performance improvements. OpenCV 5’s DNN Engine OpenCV 4.x supports about 22% of ONNX operators, and the new DNN engine in OpenCV 5 brings coverage to over 80%. That means models with dynamic shapes that used to fail on OpenCV 4.x, should now work, as the 5.x engine was rebuilt around a typed operation graph with proper shape inference, constant folding, and operator fusion. The table below shows the main difference between OpenCV 4.x and OpenCV 5 Since it’s quite a big change, to make sure [...]\n\nThe post OpenCV 5 release – New DNN engine with enhanced ONNX and LLM/VLM support, Intel, Arm, and RISC-V hardware optimizations appeared first on CNX Software - Embedded Systems News.",
  "title": "OpenCV 5 release – New DNN engine with enhanced ONNX and LLM/VLM support, Intel, Arm, and RISC-V hardware optimizations"
}