Get direct, native access to the OpenCV API right inside LabVIEW. While not an official OpenCV product, OpenLvVision OpenCV is a completely free, independent open-source wrapper designed for performance. By utilizing efficient under-the-hood Mat handling and polymorphic VIs, it brings C++ level computer vision, linear algebra, and signal processing straight to your block diagram, allowing you to easily deploy AI neural networks and GPU-accelerated vision pipelines.

Dynamic MAT API
The Mat type is reconstructed as closely as possible using malleable and polymorphic VIs. If a function can be done in OpenCV C++, there is a high chance it will also work in the LabVIEW version.

Functionality Overview

- Core Functions: Mathematical operations, linear algebra (PCA, SVD, Eigen), statistical analysis, Fourier transforms, and complex matrix manipulations.

- Image Processing: Advanced image filtering (Gaussian, Bilateral, Sobel), morphological operations, geometric transformations, and object detection.

- Video I/O: Support for reading, writing, and processing video streams.

- Deep Neural Network (DNN): Full network support with OpenVINO and CUDA backends (x64). Import and run models from TensorFlow, ONNX, Caffe, PyTorch, and Darknet.

- CUDA: Image processing directly on the GPU. Offload heavy computer vision algorithms to your NVIDIA graphics card.

- System Tools: Thread management, hardware checks, and versioning control.

Documentation & Full Function List
For a complete, detailed list of all included functions, usage guides, and GitHub repository links, please visit:
www.openlvvision.org/docs/opencv/

This library is currently in active development. Additional OpenCV modules will be included in future updates.

System Requirements
- LabVIEW: 2020 or newer (Community Edition supported)
- OS: Windows (x64)
- Dependencies: Vision Common Resources (License free)