Applications

Sale

Sell Assets

Over 11,000 five-star assets

Rated by 85,000+ customers

Supported by 100,000+ forum members

Every asset moderated by Unity

Home

This content is hosted by a third party provider that does not allow video views without acceptance of Targeting Cookies. Please set your cookie preferences for Targeting Cookies to yes if you wish to view videos from these providers.

1/33

Overview Package Content Releases Reviews Publisher info Asset Quality

OpenCV for Unity is an Assets Plugin for using OpenCV from within Unity cross-platform game engine.

Render pipeline compatibility

The Built-in Render Pipeline is Unity’s default render pipeline. It is a general-purpose render pipeline that has limited options for customization. The Universal Render Pipeline (URP) is a Scriptable Render Pipeline that is quick and easy to customize, and lets you create optimized graphics across a wide range of platforms. The High Definition Render Pipeline (HDRP) is a Scriptable Render Pipeline that lets you create cutting-edge, high-fidelity graphics on high-end platforms.

Unity Version	Built-in	URP	HDRP
2021.3.35f1	Compatible	Compatible	Compatible

Description

OUR ASSET FEATURES

Cross Platform

Compatible with multiple platforms, allowing for app development on major platforms.

iOS & Android & Windows10 UWP support.

Win & Mac & Linux Standalone support.

WebGL support.

ChromeOS support.

Support for preview in the Editor.

Works with Unity Cloud Build.

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

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)

AR VR MR

Can be utilized for developing applications using Augmented Reality, Virtual Reality, and Mixed Reality technologies.

Deep Learning

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

The dnn module is supported on all platforms except UWP. See Support Modules

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)

Trial & Demo:

- Free Trial Version

- Android Demo

- WebGL Demo

ExampleCode using OpenCV for Unity is available.

MarkerBased AR Example

MarkerLess AR Example

FaceMask Example

RealTime FaceRecognition Example

AVPro with OpenCV for Unity Example

Kinect with OpenCV for Unity Example