//
// C++: bool imencode(string ext, Mat img, vector_uchar& buf, vector_int params = vector<int>())
//
/**
* <p>Encodes an image into a memory buffer.</p>
*
* <p>The function compresses the image and stores it in the memory buffer that is
* resized to fit the result.
* See "imwrite" for the list of supported formats and flags description.</p>
*
* <p>Note: <code>cvEncodeImage</code> returns single-row matrix of type
* <code>CV_8UC1</code> that contains encoded image as array of bytes.</p>
*
* @param ext File extension that defines the output format.
* @param img Image to be written.
* @param buf Output buffer resized to fit the compressed image.
* @param params Format-specific parameters. See "imwrite".
*
* @see <a href="http://docs.opencv.org/modules/highgui/doc/reading_and_writing_images_and_video.html#imencode">org.opencv.highgui.Highgui.imencode</a>
*/
public static bool imencode(string ext, Mat img, MatOfByte buf, MatOfInt _params)
{
if (img != null)
{
img.ThrowIfDisposed();
}
if (buf != null)
{
buf.ThrowIfDisposed();
}
if (_params != null)
{
_params.ThrowIfDisposed();
}
#if UNITY_PRO_LICENSE || ((UNITY_ANDROID || UNITY_IOS) && !UNITY_EDITOR) || UNITY_5
Mat buf_mat = buf;
Mat params_mat = _params;
bool retVal = highgui_Highgui_imencode_10(ext, img.nativeObj, buf_mat.nativeObj, params_mat.nativeObj);
return(retVal);
#else
return(false);
#endif
}
//javadoc: readNetFromTensorflow(bufferModel)
public static Net readNetFromTensorflow(MatOfByte bufferModel)
{
if (bufferModel != null)
{
bufferModel.ThrowIfDisposed();
}
#if UNITY_PRO_LICENSE || ((UNITY_ANDROID || UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR) || UNITY_5 || UNITY_5_3_OR_NEWER
Mat bufferModel_mat = bufferModel;
Net retVal = new Net(dnn_Dnn_readNetFromTensorflow_13(bufferModel_mat.nativeObj));
return(retVal);
#else
return(null);
#endif
}
//javadoc: imencode(ext, img, buf)
public static bool imencode(string ext, Mat img, MatOfByte buf)
{
if (img != null)
{
img.ThrowIfDisposed();
}
if (buf != null)
{
buf.ThrowIfDisposed();
}
#if UNITY_PRO_LICENSE || ((UNITY_ANDROID || UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR) || UNITY_5 || UNITY_5_3_OR_NEWER
Mat buf_mat = buf;
bool retVal = imgcodecs_Imgcodecs_imencode_11(ext, img.nativeObj, buf_mat.nativeObj);
return(retVal);
#else
return(false);
#endif
}
//
// C++: void drawMatches(Mat img1, vector_KeyPoint keypoints1, Mat img2, vector_KeyPoint keypoints2, vector_DMatch matches1to2, Mat outImg, Scalar matchColor = Scalar::all(-1), Scalar singlePointColor = Scalar::all(-1), vector_char matchesMask = std::vector<char>(), int flags = 0)
//
//javadoc: drawMatches(img1, keypoints1, img2, keypoints2, matches1to2, outImg, matchColor, singlePointColor, matchesMask, flags)
public static void drawMatches(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, MatOfDMatch matches1to2, Mat outImg, Scalar matchColor, Scalar singlePointColor, MatOfByte matchesMask, int flags)
{
if (img1 != null)
{
img1.ThrowIfDisposed();
}
if (keypoints1 != null)
{
keypoints1.ThrowIfDisposed();
}
if (img2 != null)
{
img2.ThrowIfDisposed();
}
if (keypoints2 != null)
{
keypoints2.ThrowIfDisposed();
}
if (matches1to2 != null)
{
matches1to2.ThrowIfDisposed();
}
if (outImg != null)
{
outImg.ThrowIfDisposed();
}
if (matchesMask != null)
{
matchesMask.ThrowIfDisposed();
}
#if UNITY_PRO_LICENSE || ((UNITY_ANDROID || UNITY_IOS) && !UNITY_EDITOR) || UNITY_5
Mat keypoints1_mat = keypoints1;
Mat keypoints2_mat = keypoints2;
Mat matches1to2_mat = matches1to2;
Mat matchesMask_mat = matchesMask;
features2d_Features2d_drawMatches_10(img1.nativeObj, keypoints1_mat.nativeObj, img2.nativeObj, keypoints2_mat.nativeObj, matches1to2_mat.nativeObj, outImg.nativeObj, matchColor.val [0], matchColor.val [1], matchColor.val [2], matchColor.val [3], singlePointColor.val [0], singlePointColor.val [1], singlePointColor.val [2], singlePointColor.val [3], matchesMask_mat.nativeObj, flags);
return;
#else
return;
#endif
}
//
// C++: Net cv::dnn::readNet(String framework, vector_uchar bufferModel, vector_uchar bufferConfig = std::vector<uchar>())
//
//javadoc: readNet(framework, bufferModel, bufferConfig)
public static Net readNet(string framework, MatOfByte bufferModel, MatOfByte bufferConfig)
{
if (bufferModel != null)
{
bufferModel.ThrowIfDisposed();
}
if (bufferConfig != null)
{
bufferConfig.ThrowIfDisposed();
}
#if UNITY_PRO_LICENSE || ((UNITY_ANDROID || UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR) || UNITY_5 || UNITY_5_3_OR_NEWER
Mat bufferModel_mat = bufferModel;
Mat bufferConfig_mat = bufferConfig;
Net retVal = new Net(dnn_Dnn_readNet_10(framework, bufferModel_mat.nativeObj, bufferConfig_mat.nativeObj));
return(retVal);
#else
return(null);
#endif
}
//javadoc: calcOpticalFlowPyrLK(prevImg, nextImg, prevPts, nextPts, status, err)
public static void calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err)
{
if (prevImg != null)
{
prevImg.ThrowIfDisposed();
}
if (nextImg != null)
{
nextImg.ThrowIfDisposed();
}
if (prevPts != null)
{
prevPts.ThrowIfDisposed();
}
if (nextPts != null)
{
nextPts.ThrowIfDisposed();
}
if (status != null)
{
status.ThrowIfDisposed();
}
if (err != null)
{
err.ThrowIfDisposed();
}
#if UNITY_PRO_LICENSE || ((UNITY_ANDROID || UNITY_IOS) && !UNITY_EDITOR) || UNITY_5
Mat prevPts_mat = prevPts;
Mat nextPts_mat = nextPts;
Mat status_mat = status;
Mat err_mat = err;
video_Video_calcOpticalFlowPyrLK_12(prevImg.nativeObj, nextImg.nativeObj, prevPts_mat.nativeObj, nextPts_mat.nativeObj, status_mat.nativeObj, err_mat.nativeObj);
return;
#else
return;
#endif
}
//
// C++: void calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, vector_Point2f prevPts, vector_Point2f& nextPts, vector_uchar& status, vector_float& err, Size winSize = Size(21,21), int maxLevel = 3, TermCriteria criteria = TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 30, 0.01), int flags = 0, double minEigThreshold = 1e-4)
//
//javadoc: calcOpticalFlowPyrLK(prevImg, nextImg, prevPts, nextPts, status, err, winSize, maxLevel, criteria, flags, minEigThreshold)
public static void calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err, Size winSize, int maxLevel, TermCriteria criteria, int flags, double minEigThreshold)
{
if (prevImg != null)
{
prevImg.ThrowIfDisposed();
}
if (nextImg != null)
{
nextImg.ThrowIfDisposed();
}
if (prevPts != null)
{
prevPts.ThrowIfDisposed();
}
if (nextPts != null)
{
nextPts.ThrowIfDisposed();
}
if (status != null)
{
status.ThrowIfDisposed();
}
if (err != null)
{
err.ThrowIfDisposed();
}
#if UNITY_PRO_LICENSE || ((UNITY_ANDROID || UNITY_IOS) && !UNITY_EDITOR) || UNITY_5
Mat prevPts_mat = prevPts;
Mat nextPts_mat = nextPts;
Mat status_mat = status;
Mat err_mat = err;
video_Video_calcOpticalFlowPyrLK_10(prevImg.nativeObj, nextImg.nativeObj, prevPts_mat.nativeObj, nextPts_mat.nativeObj, status_mat.nativeObj, err_mat.nativeObj, winSize.width, winSize.height, maxLevel, criteria.type, criteria.maxCount, criteria.epsilon, flags, minEigThreshold);
return;
#else
return;
#endif
}
//javadoc: calcOpticalFlowPyrLK(prevImg, nextImg, prevPts, nextPts, status, err, winSize, maxLevel)
public static void calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err, Size winSize, int maxLevel)
{
if (prevImg != null)
{
prevImg.ThrowIfDisposed();
}
if (nextImg != null)
{
nextImg.ThrowIfDisposed();
}
if (prevPts != null)
{
prevPts.ThrowIfDisposed();
}
if (nextPts != null)
{
nextPts.ThrowIfDisposed();
}
if (status != null)
{
status.ThrowIfDisposed();
}
if (err != null)
{
err.ThrowIfDisposed();
}
#if UNITY_PRO_LICENSE || ((UNITY_ANDROID || UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR) || UNITY_5 || UNITY_5_3_OR_NEWER
Mat prevPts_mat = prevPts;
Mat nextPts_mat = nextPts;
Mat status_mat = status;
Mat err_mat = err;
video_Video_calcOpticalFlowPyrLK_11(prevImg.nativeObj, nextImg.nativeObj, prevPts_mat.nativeObj, nextPts_mat.nativeObj, status_mat.nativeObj, err_mat.nativeObj, winSize.width, winSize.height, maxLevel);
return;
#else
return;
#endif
}
