This is a paid asset, but now you can download OpenCV for Unity Free.
Detail this asset from Unity Store: Original Link
OpenCV for Unity v2.4.4 (Latest version)
OpenCV for Unity v2.4.2
Works with Unity Cloud Build
iOS & Android support
Windows10 UWP support
Lumin ( MagicLeap ) support
WebGL support
Win & Mac & Linux Standalone support
Preview support in the Editor
OpenCV for Unity is an Assets Plugin for using OpenCV 4.3.0 from within Unity.
Official Site | ExampleCode | Android Demo WebGL Demo | Tutorial & Demo Video | Forum | API Reference | Support Modules | Free Trial Version
Features:
– Since this package is a clone of OpenCV Java, you are able to use the same API as OpenCV Java 4.3.0 (link).
– You can image processing in real-time by using the WebCamTexture capabilities of Unity. (real-time face detection works smoothly on iPhone 5)
– Provides a method to interconversion of Unity’s Texture2D and OpenCV’s Mat.
– IDisposable is implemented in many classes.You can manage the resources with the “using” statement.
– Examples of integration with other publisher assets are available.（e.g. PlayMaker, NatDevice, NatCorder）
OpenCV for Unity ver2.1.7 Release!
Version 2.1.7[Common]Improved Utils.getFilePath() and Utils.getFilePathAsync().[Common]Improved WebCamTextureAsyncDetectFaceExample.cs.[Common] Fixed the const value of Calib3d class.
Published: 2017-06-01
Author: Enox Software
Category: Update
OpenCV for Unity ver2.2.2 Release!
Version 2.2.2[Common]Added TextRecognitionExample.
Published: 2017-10-19
Author: Enox Software
Category: Update
OpenCV for Unity ver2.1.1 Release!
Version 2.1.1[Common]Fixed OpenCVForUnityMenuItem.cs.(No valid name for platform: 11 Error)[Common]Added Utils.textureToTexture2D() method.[Common]Added Mat class operators. [Common] Added PolygonFilterSample.
Published: 2017-01-03
Author: Enox Software
Category: Update
Trial & Demo:
– Free Trial Version
– Android Demo
– WebGL Demo
ExampleCode using OpenCV for Unity is available.
MarkerBased AR Example
MarkerLess AR Example
FaceTracker Example
FaceSwapper Example
FaceMask Example
RealTime FaceRecognition Example
GoogleVR with OpenCV for Unity Example
Kinect with OpenCV for Unity Example
AVPro with OpenCV for Unity Example
HoloLens with OpenCV for Unity Example
PlayMakerActions for OpenCVforUnity
NatDevice with OpenCVForUnity Example
NatCorder with OpenCVForUnity Example
MagicLeap with OpenCVForUnity Example
OpenCV for Unity uses OpenCV under 3-clause BSD License; see Third-Party Notices.txt file in package for details.
Free Trial Version is available.
System Requirements
Build Win Standalone & Preview Editor : Windows 8 or later
Build Mac Standalone & Preview Editor : OSX 10.9 or later
Build Linux Standalone & Preview Editor : Ubuntu16.04 or later
Build Android : API level 21 or later
Build iOS : iOS Version 8.0 or later
How to catch native OpenCV’s errors code (CVException handling)
In order to display the native opencv’s error code, please enclose the code in Utils.setDebugMode(true) and Utils.setDebugMode(false). Example Code: // // CVException handling example // // 32F, channels=1, 3×3 Mat m1 = new Mat (3, 3, CvType.CV_32FC1); m1.put (0, 0, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f); // 8U, channels=1, 3×3 Mat m2 = new Mat (3, 3, CvType.CV_8UC1); m2.put (0, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9); // dump Debug.Log (“”m1=”” + m1); Debug.Log (“”m1.dump()=”” + m1.dump ()); Debug.Log (“”m2=”” + m2); Debug.Log (“”m2.dump()=”” + m2.dump ()); #if UNITY_STANDALONE || UNITY_EDITOR // Publish CVException to Debug.LogError. Utils.setDebugMode (true, false); Mat m3 = m1 / m2; Utils.setDebugMode (false); // Throw CVException. Utils.setDebugMode (true, true); try { Mat m4 = m1 / m2; } catch (Exception e) { Debug.Log (“”CVException: “” + e); } Utils.setDebugMode (false); #else Debug.Log (“”The setDebugMode method is only supported on WIN, MAC and LINUX.””); #endif Execution Result: m1=Mat [ 3*3*CV_32FC1, isCont=True, isSubmat=False, nativeObj=0x820637680, dataAddr=0x820295296 ] m1.dump()=[1, 2, 3; 4, 5, 6; 7, 8, 9] m2=Mat [ 3*3*CV_8UC1, isCont=True, isSubmat=False, nativeObj=0x820637792, dataAddr=0x820619712 ] m2.dump()=[ 1, 2, 3; 4, 5, 6; 7, 8, 9] core::divide_12() : OpenCV(3.4.1-dev) C:UsersxxxxxDesktopopencvmodulescoresrcarithm.cpp:683: error: (-5) When the input arrays in add/subtract/multiply/divide functions have different types, the output array type must be explicitly specified in function cv::arithm_op m3=Mat [ […]
Published: 2019-06-25
Author: Enox Software
Category: Tips
NO IMAGE
Mat Basic Processing2
These codes are included in the OpenCVForUnity Example Unity scenes. (MatBasicProcessingExample) Merge Example Code: // // simple composition: Merge example // // 2×2 matrix Mat m1 = new Mat (2, 2, CvType.CV_64FC1); m1.put (0, 0, 1.0, 2.0, 3.0, 4.0); Mat m2 = new Mat (2, 2, CvType.CV_64FC1); m2.put (0, 0, 1.1, 2.1, 3.1, 4.1); Mat m3 = new Mat (2, 2, CvType.CV_64FC1); m3.put (0, 0, 1.2, 2.2, 3.2, 4.2); List<Mat> mv = new List<Mat>(); mv.Add (m1); mv.Add (m2); mv.Add (m3); // merge Mat m_merged = new Mat(); Core.merge (mv, m_merged); // dump Debug.Log (“”m_merged=”” + m_merged.dump()); Execution Result: m_merged=[1, 1.1, 1.2, 2, 2.1, 2.2; 3, 3.1, 3.2, 4, 4.1, 4.2] MixChannels Example Code: // // complex composition: mixChannels example // // 2×2 matrix Mat m1 = new Mat (2, 2, CvType.CV_64FC1); m1.put (0, 0, 1.0, 2.0, 3.0, 4.0); Mat m2 = new Mat (2, 2, CvType.CV_64FC1); m2.put (0, 0, 1.1, 2.1, 3.1, 4.1); Mat m3 = new Mat (2, 2, CvType.CV_64FC1); m3.put (0, 0, 1.2, 2.2, 3.2, 4.2); List<Mat> mv = new List<Mat>(); mv.Add (m1); mv.Add (m2); mv.Add (m3); // mat for output must be allocated. Mat m_mixed1 = new Mat(2, 2, CvType.CV_64FC2); Mat m_mixed2 = new Mat(2, 2, CvType.CV_64FC2); MatOfInt fromTo = new MatOfInt (0,0, 1,1, 1,3, 2,2); List<Mat> mixv = new List<Mat> (); mixv.Add (m_mixed1); mixv.Add (m_mixed2); // […]
Published: 2018-03-22
Author: Enox Software
Category: Tips
NO IMAGE
Mat Basic Processing1
These codes are included in the OpenCVForUnity Example Unity scenes. (MatBasicProcessingExample) Initialization Example Code: // // initialization example // // 3×3 matrix (set array value) Mat mat1 = new Mat (3, 3, CvType.CV_64FC1); mat1.put (0, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9); Debug.Log (“”mat1=”” + mat1.dump()); // 2×2 rotation matrix double angle = 30, a = Math.Cos(angle*Math.PI/180), b = Math.Sin(angle*Math.PI/180); Mat mat2 = new Mat (2, 2, CvType.CV_64FC1); mat2.put (0, 0, a, -b, b, a); Debug.Log (“”mat2=”” + mat2.dump()); // 5×5 all 1’s matrix Mat mat3 = Mat.ones(5, 5, CvType.CV_64FC1); Debug.Log (“”mat3=”” + mat3.dump()); // 5×5 all zero’s matrix Mat mat4 = Mat.zeros(5, 5, CvType.CV_64FC1); Debug.Log (“”mat4=”” + mat4.dump()); // 5×5 identity matrix Mat mat5 = Mat.eye(5, 5, CvType.CV_64FC1); Debug.Log (“”mat5=”” + mat5.dump()); // 3×3 initialize with a constant Mat mat6 = new Mat (3, 3, CvType.CV_64FC1, new Scalar(5)); Debug.Log (“”mat6=”” + mat6.dump()); // 3×2 initialize with a uniform distribution random number Mat mat7 = new Mat (3, 2, CvType.CV_8UC1); Core.randu (mat7, 0, 256); Debug.Log (“”mat7=”” + mat7.dump()); // 3×2 initialize with a normal distribution random number Mat mat8 = new Mat (3, 2, CvType.CV_8UC1); Core.randn (mat8, 128, 10); Debug.Log (“”mat8=”” + mat8.dump()); // 2x2x3x4 matrix (4 dimensional array) int[] sizes = new int[]{ 2, 2, 3, 4 }; Mat mat9 = new Mat (sizes, CvType.CV_8UC1, Scalar.all […]
Published: 2018-03-22
Author: Enox Software
Category: Tips
Way to translation of Mat class operators defined in C++
This is a list of implemented matrix operations that can be combined in arbitrary complex expressions (here A, B stand for matrices ( Mat ), s for a scalar ( Scalar ), alpha for a real-valued scalar ( double )): c++OpenCVForUnity(C#)Addition, subtraction, negation: A+B, A-B, A+s, A-s, s+A, s-A, -AA + BM1 + M2Core.add (M1, M2, M_dst)A – BM1 – M2Core.subtract (M1, M2, M_dst)A + sM1 + sCore.add (M1, s, M_dst)A – sM1 – sCore.subtract (M1, s, M_dst)-A-M1Core.multiply (M1, Scalar.all (-1), M_dst)Scaling: A*alpha A/alphaA * αM1 * 3Core.multiply (M1, Scalar.all (3), M_dst)A / αM1 / 3Core.divide (M1, Scalar.all (3), M_dst)Per-element multiplication and division: A.mul(B), A/B, alpha/AA.mul(B)M1.mul(M2)M1.mul (M2)A / BM1 / M2Core.divide (M1, M2, M_dst)α / A3 / M1Core.divide (new Mat (M1.size (), M1.type (), Scalar.all (3)), M1, M_dst)Matrix multiplication: A*BA * BM1 * M2Core.gemm (M1, M2, 1, new Mat (), 0, M_dst)Comparison: A cmpop B, A cmpop alpha, alpha cmpop A, where cmpop is one of : >, >=, ==, !=, <=, <. The result of comparison is an 8-bit single channel mask whose elements are set to 255 (if the particular element or pair of elements satisfy the condition) or 0.A > BM1 > M2Core.compare (M1, M2, M_dst, Core.CMP_GT)A >= BM1 >= M2Core.compare (M1, M2, M_dst, Core.CMP_GE)A == BM1 == M2Core.compare (M1, M2, M_dst, Core.CMP_EQ)A != BM1 != M2Core.compare (M1, M2, M_dst, Core.CMP_NE)A <= BM1 <= M2Core.compare (M1, M2, M_dst, […]