/// <summary>
/// The constructor.
/// </summary>
/// <param name="dextractor">Descriptor extractor that is used to compute descriptors for an input image and its keypoints.</param>
/// <param name="dmatcher">Descriptor matcher that is used to find the nearest word of the trained vocabulary for each keypoint descriptor of the image.</param>
public BOWImgDescriptorExtractor(Feature2D dextractor, DescriptorMatcher dmatcher)
{
if (dextractor == null)
throw new ArgumentNullException(nameof(dextractor));
if (dmatcher == null)
throw new ArgumentNullException(nameof(dmatcher));
ptr = NativeMethods.features2d_BOWImgDescriptorExtractor_new1(dextractor.PtrObj, dmatcher.PtrObj);
}
/// <summary>
/// The constructor.
/// </summary>
/// <param name="dmatcher">Descriptor matcher that is used to find the nearest word of the trained vocabulary for each keypoint descriptor of the image.</param>
public BOWImgDescriptorExtractor(DescriptorMatcher dmatcher)
{
if (dmatcher == null)
{
throw new ArgumentNullException(nameof(dmatcher));
}
ptr = NativeMethods.features2d_BOWImgDescriptorExtractor_new2(dmatcher.PtrObj);
}
/// <summary>
/// The constructor.
/// </summary>
/// <param name="dmatcher">Descriptor matcher that is used to find the nearest word of the trained vocabulary for each keypoint descriptor of the image.</param>
public BOWImgDescriptorExtractor(DescriptorMatcher dmatcher)
{
if (dmatcher == null)
{
throw new ArgumentNullException(nameof(dmatcher));
}
ptr = NativeMethods.features2d_BOWImgDescriptorExtractor_new2_RawPtr(dmatcher.CvPtr);
GC.KeepAlive(dmatcher);
}
/// <summary>
/// Creates instance from raw pointer T*
/// </summary>
/// <param name="ptr"></param>
internal static DescriptorMatcher FromRawPtr(IntPtr ptr)
{
if (ptr == IntPtr.Zero)
throw new OpenCvSharpException("Invalid DescriptorMatcher pointer");
var detector = new DescriptorMatcher
{
detectorPtr = null,
ptr = ptr
};
return detector;
}
/// <summary>
/// Creates instance from cv::Ptr<T> .
/// ptr is disposed when the wrapper disposes.
/// </summary>
/// <param name="ptr"></param>
internal static DescriptorMatcher FromPtr(IntPtr ptr)
{
if (ptr == IntPtr.Zero)
throw new OpenCvSharpException("Invalid cv::Ptr<DescriptorMatcher> pointer");
var ptrObj = new Ptr(ptr);
var detector = new DescriptorMatcher
{
detectorPtr = ptrObj,
ptr = ptrObj.Get()
};
return detector;
}
/// <summary>
/// The constructor.
/// </summary>
/// <param name="dextractor">Descriptor extractor that is used to compute descriptors for an input image and its keypoints.</param>
/// <param name="dmatcher">Descriptor matcher that is used to find the nearest word of the trained vocabulary for each keypoint descriptor of the image.</param>
public BOWImgDescriptorExtractor(Feature2D dextractor, DescriptorMatcher dmatcher)
{
if (dextractor == null)
{
throw new ArgumentNullException(nameof(dextractor));
}
if (dmatcher == null)
{
throw new ArgumentNullException(nameof(dmatcher));
}
NativeMethods.HandleException(
NativeMethods.features2d_BOWImgDescriptorExtractor_new1_RawPtr(dextractor.CvPtr, dmatcher.CvPtr, out ptr));
GC.KeepAlive(dextractor);
GC.KeepAlive(dmatcher);
}
/// <summary>
/// Creates instance from cv::Ptr<T> .
/// ptr is disposed when the wrapper disposes.
/// </summary>
/// <param name="ptr"></param>
internal static DescriptorMatcher FromPtr(IntPtr ptr)
{
if (ptr == IntPtr.Zero)
throw new OpenCvSharpException("Invalid cv::Ptr<DescriptorMatcher> pointer");
var ptrObj = new Ptr<DescriptorMatcher>(ptr);
var detector = new DescriptorMatcher
{
detectorPtr = ptrObj,
ptr = ptrObj.Get()
};
return detector;
}
/// <summary>
/// Creates instance from raw pointer T*
/// </summary>
/// <param name="ptr"></param>
internal static DescriptorMatcher FromRawPtr(IntPtr ptr)
{
if (ptr == IntPtr.Zero)
throw new OpenCvSharpException("Invalid DescriptorMatcher pointer");
var detector = new DescriptorMatcher
{
detectorPtr = null,
ptr = ptr
};
return detector;
}
void Start()
{
//thread = new Thread(new ThreadStart(ThreadMainFunc));
//thread = new Thread(ThreadMainFunc);
//thread.IsBackground = true;
//thread = Loom.RunAsync(ThreadMainFunc);
//thread.Start();
//textTex = Resources.Load<Texture2D>("test-IMG_0204-text");
//rawImageRI.texture = textTex;
//TextAsset binary = (TextAsset)AssetDatabase.LoadAssetAtPath("Assets/img1.bytes", typeof(TextAsset));
//inputTex = Resources.Load<Texture2D>("test-IMG_0204");
//rawImageRI.texture = inputTex;
//Debug.Log("inputTex.width: "+inputTex.width);
//Debug.Log("inputTex.height: "+inputTex.height);
//tex.LoadImage(binary.bytes);
//Texture2D tex = (Texture2D)AssetDatabase.LoadAssetAtPath("Assets/img.PNG", typeof(Texture2D));
//StartCoroutine(GetTextImg());
//Size texSize = new Size(tex.width, tex.height);
//Mat mat = new Mat(texSize, CvType.CV_8UC4);
//Utils.texture2DToMat(tex, mat);
//inputImg = Cv2.ImRead(imgPath);
//Cv2.ImShow("inputImg", inputImg);
//tex = Unity.MatToTexture(inputImg);
//rawImageRI.texture = tex;
/*inputTex = new Texture2D(2,2);
* string imgPath = "../signboard-rectangle/test-IMG_0204.PNG";
* byte [] binaryImageData = File.ReadAllBytes(imgPath);
* inputTex.LoadImage(binaryImageData);*/
//inputTex = Resources.Load<Texture2D>("forAddText");
//必要 防止記憶體爆炸
Texture2D inputTex1 = TextureGray.ToGray("1");
Texture2D inputTex2 = TextureGray.ToGray("2");
//Texture2D inputTex3 = TextureGray.ToGray("3");
//Debug.Log("inputTex.width: "+inputTex.width);
//Debug.Log("inputTex.height: "+inputTex.height);
//rawImageRI.texture = inputTex;
OpenCvSharp.Mat inputImg1 = Unity.TextureToMat(inputTex1);
OpenCvSharp.Mat inputImg2 = Unity.TextureToMat(inputTex2);
//OpenCvSharp.Mat inputImg3 = Unity.TextureToMat(inputTex3);
//OpenCvSharp.Mat inputImg2 = Unity.TextureToMat(inputTex);
//Cv2.ImShow("img", inputImg);
InputArray img1 = InputArray.Create(inputImg1);
InputArray img2 = InputArray.Create(inputImg2);
//InputArray img3 = InputArray.Create(inputImg3);
//Debug.Log("inputImg: "+inputImg.ToString());
//InputArray mask = null;
//OpenCvSharp.KeyPoint[] kp1 = null;
des1 = OutputArray.Create(inputImg1);
des2 = OutputArray.Create(inputImg2);
//des3 = OutputArray.Create(inputImg3);
//Debug.Log("des1: "+des1);
//Initiate SIFT detector and extractor
//siftDetect = FeatureDetector.create(3);
//siftExtract = DescriptorExtractor.create(1);
sift = SIFT.Create();
//surf = SURF.Create((double)100);
//orb = OpenCvSharp.ORB.Create();
//brief = OpenCvSharp.XFeatures2D.BriefDescriptorExtractor.Create();
//if image too large will cause app Terminated due to memory error
kp1 = sift.Detect(inputImg1);
kp2 = sift.Detect(inputImg2);
//kp3 = sift.Detect(inputImg3);
//kp1 = surf.Detect(inputImg);
//kp1 = orb.Detect(inputImg);
//kp1 = brief.Detect(inputImg);
//Cv2.ImShow("img", inputImg); ok
sift.Compute(img1, ref kp1, des1);
sift.Compute(img2, ref kp2, des2);
//sift.Compute(img3, ref kp3, des3);
//surf.Compute(img1, ref kp1, des1);
//orb.Compute(img1, ref kp1, des1);
//brief.Compute(img1, ref kp1, des1);
//Cv2.ImShow("img", inputImg); 亂碼圖
//Cv2.ImShow("img", inputImg2); ok
//foreach (OpenCvSharp.KeyPoint kp in kp1)
// Debug.Log("kp: "+kp.ToString());
//用flannbased的話unity會掛掉
descriptorMatcher = OpenCvSharp.DescriptorMatcher.Create("BruteForce");
//sift.DetectAndCompute(img1, mask, out kp1, des1);
//MatOfKeyPoint kp1 = new MatOfKeyPoint();
//Mat des1 = new Mat();
//siftDetect.detect(inputImg, kp1);
//siftExtract.compute(inputImg, kp1, des1);
//StartCoroutine(OpenCamera());//開啟攝影機鏡頭
//StartCoroutine(CalculateHomography());
/*Texture2D sourceTex = ScreenCapture.CaptureScreenshotAsTexture();
* Color[] pix = sourceTex.GetPixels((int)rectBotLeft.x, (int)rectBotLeft.y, width, height);
* tex = new Texture2D(width, height);
* tex.SetPixels(pix);
* tex.Apply();
*
* tex = TextureGray.ToGray(tex);
*
* mat = Unity.TextureToMat(tex);
*
* InputArray img2 = InputArray.Create(mat);
* desCam = OutputArray.Create(mat);
*
* kpCam = sift.Detect(mat);*/
}