Support Latest Version

Users can utilize “OpenCV for Unity” based on the latest version of OpenCV (4.10.0) for app development.

OpenCV Java API Supoort

As a clone of OpenCV Java, which means you can use the exact same API as OpenCV Java 4.10.0.

OpenCV Java documentation (link)

Easy to Use

We provide helper functions for the interconversion of Unity’s Texture2D and OpenCV’s Mat. Many classes implement IDisposable, allowing you to manage resources using the “using” statement.

Include Many Examples

Includes a wide variety of example usage scenarios, which consist of scene files and script codes. By running these sample applications, you can learn how to develop OpenCV applications effectively.

OpenCVForUnity Examples (GitHub)

EnoxSoftware repositories (GitHub)

Deep Learning

Provides support for the dnn module, including various frameworks such as ONNX, TensorFlow, caffe, Torch, Darknet, and more. See OpenCV wiki (GitHub)

On all platforms, inference in the Dnn module uses the CPU backend by default; only Windows platforms can use the CUDA backend by following additional steps.

Use of WebCamTexture

Supports input from Unity’s WebCamTexture, allowing you to perform real-time image processing on camera footage.

Works with many hardware

Compatible with a wide range of hardware gadgets beyond just PCs and smartphones, allowing it to run on various devices.

(e.g. HoloLens1 / Hololens2, Nreal Light, Oculus, Kinect, RealSense, ZED 2 or ZED Mini stereo camera, and Raspberry Pi).

Visual Scripting Support

By utilizing the VisualScripting With OpenCVForUnity Example, you can leverage all the methods available in OpenCVforUnity within the Unity’s Visual Scripting development environment.

VisualScripting With OpenCVForUnity Example (GitHub)