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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
OpenCV wrapper for .NET
| Date | Stars |
|---|---|
| 2026-07-24 | 6044 |
| 2026-07-25 | 6044 |
| 2026-07-28 | 6046 |
| 2026-07-30 | 6046 |
| 2026-08-06 | 6046 |
Today
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Momentum
35.0
growth rate 0.00%/day
 [](https://www.nuget.org/packages/OpenCvSharp5/) [](https://github.com/shimat/opencvsharp/actions/workflows/windows.yml) [](https://github.com/shimat/opencvsharp/actions/workflows/docker-test-ubuntu.yml) [](https://github.com/shimat/opencvsharp/actions/workflows/manylinux.yml) [](https://github.com/shimat/opencvsharp/actions/workflows/wasm.yml) [](https://github.com/shimat/opencvsharp/actions/workflows/macos.yml) [](https://github.com/shimat/opencvsharp/blob/master/LICENSE) OpenCvSharp is a cross-platform .NET wrapper for OpenCV, providing a rich set of image processing and computer vision functionality. Its API is intentionally designed to stay as close as practical to the native OpenCV C++ API so that OpenCV concepts, documentation, and code can be transferred to .NET with minimal friction, while still using C# conventions such as typed enums, exceptions, and deterministic disposal. See [OpenCV C++, Python (cv2), and OpenCvSharp](https://shimat.github.io/opencvsharp/articles/getting-started/opencv-api-comparison.html) for the main API and data-model differences. ## 🚀 [Try the Live Demo](https://shimat.github.io/opencvsharp_blazor_sample/) Run OpenCvSharp image processing right in your browser — Blazor WebAssembly, no install needed. ## Which version should I use? OpenCvSharp is published in two parallel package families: | Family | OpenCV | .NET targets | Status | |---|---|---|---| | **OpenCvSharp5** | 5.0.x | .NET 8+ | Active development — recommended for new projects | | **OpenCvSharp4** | 4.13.0 | .NET Framework 4.6.1+, .NET Standard 2.0/2.1, .NET 8+ | Maintenance — for .NET Framework or older runtimes | Both families share the same package layout: every `OpenCvSharp5.*` package has an `OpenCvSharp4.*` counterpart. The examples below use **OpenCvSharp5**; replace `5` with `4` for the OpenCvSharp4 family. > 🔄 **Already using OpenCvSharp4?** See the **[Migration Guide (4 → 5)](docs/migration-4-to-5.md)** for target framework changes, package/namespace renames, and OpenCV 5 API changes. ## Quick Start ### Windows (x64) ```bash dotnet add package OpenCvSharp5.Windows ``` ### Windows (ARM64 — Snapdragon X and other arm64 devices) ```bash dotnet add package OpenCvSharp5 dotnet add package OpenCvSharp5.runtime.win-arm64 ``` ### Linux / Ubuntu ```bash dotnet add package OpenCvSharp5 dotnet add package OpenCvSharp5.official.runtime.linux-x64 # optional headless profile (full module set, no GTK3/X11 dependency) # dotnet add package OpenCvSharp5.official.runtime.linux-x64.headless # optional slim profile (smaller native dependency surface) # dotnet add package OpenCvSharp5.official.runtime.linux-x64.slim ``` ### macOS ```bash dotnet add package OpenCvSharp5 # Intel (x64): dotnet add package OpenCvSharp5.runtime.osx.x64 # Apple Silicon (arm64): dotnet add package OpenCvSharp5.runtime.osx.arm64 ``` For more installation options, see the [Installation](#installation) section below, or the full [NuGet package list](#nuget). ## Features * OpenCvSharp is modeled on the native OpenCV C++ API as closely as practical. * Many classes of OpenCvSharp implement IDis
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:fc5b26f5d607bb0d, topic:computer-vision, topic:opencv, readme:computer vision