Examples with Point org.opencv.core.Point used on opensource projects

Example 1 with Point

use of org.opencv.core.Point in project Frankenstein by olir.

the class TestImageInput method drawTestImage.

private void drawTestImage(int xoffset, int yoffset, int width, int height) {
    int count = 10;
    int gridSize = ((height / count) >> 1) << 1;
    while (gridSize >= 8) gridSize >>= 1;
    int xmid = xoffset + (width >> 1);
    Imgproc.line(testFrame, new Point(xmid, yoffset), new Point(xmid, yoffset + height - 1), white, 3);
    for (int x = xmid + gridSize; x < xoffset + width; x += gridSize) {
        Imgproc.line(testFrame, new Point(x, yoffset), new Point(x, yoffset + height - 1), white, 1);
    }
    for (int x = xmid - gridSize; x > xoffset; x -= gridSize) {
        Imgproc.line(testFrame, new Point(x, yoffset), new Point(x, yoffset + height - 1), white, 1);
    }
    int ymid = yoffset + (height >> 1);
    Imgproc.line(testFrame, new Point(xoffset, ymid), new Point(xoffset + width - 1, ymid), white, 3);
    for (int y = ymid + gridSize; y < yoffset + height; y += gridSize) {
        Imgproc.line(testFrame, new Point(xoffset, y), new Point(xoffset + width - 1, y), white, 1);
    }
    for (int y = ymid - gridSize; y > yoffset; y -= gridSize) {
        Imgproc.line(testFrame, new Point(xoffset, y), new Point(xoffset + width - 1, y), white, 1);
    }
    Imgproc.line(testFrame, new Point(xoffset, yoffset), new Point(xoffset + width - 1, yoffset + height - 1), red, 1);
    Imgproc.putText(testFrame, "" + width + " x " + height, new Point(xmid - gridSize * 1.33, ymid - gridSize * 0.25), Core.FONT_HERSHEY_PLAIN, 4.0, red, 3);
}

Example 2 with Point

use of org.opencv.core.Point in project Frankenstein by olir.

the class TestImageInput method process.

@Override
public Mat process(Mat sourceFrame, int frameId, FilterContext context) {
    testFrame.copyTo(newFrame);
    System.out.println("process Frame #" + frameId);
    Imgproc.putText(newFrame, "Frame #" + frameId, new Point(10, smallHeight - 10), Core.FONT_HERSHEY_PLAIN, 3.0, red, 2);
    return newFrame;
}

Example 3 with Point

use of org.opencv.core.Point in project Auto.js by hyb1996.

the class ColorFinder method findColor.

public Point findColor(ImageWrapper image, int color, int threshold, Rect rect) {
    MatOfPoint matOfPoint = findColorInner(image, color, threshold, rect);
    if (matOfPoint == null) {
        return null;
    }
    Point point = matOfPoint.toArray()[0];
    if (rect != null) {
        point.x = mScreenMetrics.scaleX((int) (point.x + rect.x));
        point.y = mScreenMetrics.scaleX((int) (point.y + rect.y));
    }
    return point;
}

Example 4 with Point

use of org.opencv.core.Point in project Auto.js by hyb1996.

the class ColorFinder method findAllPointsForColor.

public Point[] findAllPointsForColor(ImageWrapper image, int color, int threshold, Rect rect) {
    MatOfPoint matOfPoint = findColorInner(image, color, threshold, rect);
    if (matOfPoint == null) {
        return new Point[0];
    }
    Point[] points = matOfPoint.toArray();
    if (rect != null) {
        for (int i = 0; i < points.length; i++) {
            points[i].x = mScreenMetrics.scaleX((int) (points[i].x + rect.x));
            points[i].y = mScreenMetrics.scaleX((int) (points[i].y + rect.y));
        }
    }
    return points;
}

Example 5 with Point

use of org.opencv.core.Point in project Auto.js by hyb1996.

the class TemplateMatching method fastTemplateMatching.

/**
 * 采用图像金字塔算法快速找图
 *
 * @param img             图片
 * @param template        模板图片
 * @param matchMethod     匹配算法
 * @param weakThreshold   弱阈值。该值用于在每一轮模板匹配中检验是否继续匹配。如果相似度小于该值，则不再继续匹配。
 * @param strictThreshold 强阈值。该值用于检验最终匹配结果，以及在每一轮匹配中如果相似度大于该值则直接返回匹配结果。
 * @param maxLevel        图像金字塔的层数
 * @return
 */
public static Point fastTemplateMatching(Mat img, Mat template, int matchMethod, float weakThreshold, float strictThreshold, int maxLevel) {
    TimingLogger logger = new TimingLogger(LOG_TAG, "fast_tm");
    if (maxLevel == MAX_LEVEL_AUTO) {
        // 自动选取金字塔层数
        maxLevel = selectPyramidLevel(img, template);
        logger.addSplit("selectPyramidLevel:" + maxLevel);
    }
    // 保存每一轮匹配到模板图片在原图片的位置
    Point p = null;
    Mat matchResult;
    double similarity = 0;
    boolean isFirstMatching = true;
    for (int level = maxLevel; level >= 0; level--) {
        // 放缩图片
        Mat src = getPyramidDownAtLevel(img, level);
        Mat currentTemplate = getPyramidDownAtLevel(template, level);
        // 如果在上一轮中没有匹配到图片，则考虑是否退出匹配
        if (p == null) {
            // 如果不是第一次匹配，并且不满足shouldContinueMatching的条件，则直接退出匹配（返回null）
            if (!isFirstMatching && !shouldContinueMatching(level, maxLevel)) {
                break;
            }
            matchResult = matchTemplate(src, currentTemplate, matchMethod);
            Pair<Point, Double> bestMatched = getBestMatched(matchResult, matchMethod, weakThreshold);
            p = bestMatched.first;
            similarity = bestMatched.second;
        } else {
            // 根据上一轮的匹配点，计算本次匹配的区域
            Rect r = getROI(p, src, currentTemplate);
            matchResult = matchTemplate(new Mat(src, r), currentTemplate, matchMethod);
            Pair<Point, Double> bestMatched = getBestMatched(matchResult, matchMethod, weakThreshold);
            // 不满足弱阈值，返回null
            if (bestMatched.second < weakThreshold) {
            // p = null;
            // break;
            }
            p = bestMatched.first;
            similarity = bestMatched.second;
            p.x += r.x;
            p.y += r.y;
        }
        // 满足强阈值，返回当前结果
        if (similarity >= strictThreshold) {
            pyrUp(p, level);
            break;
        }
        logger.addSplit("level:" + level + " point:" + p);
        isFirstMatching = false;
    }
    logger.addSplit("result:" + p);
    logger.dumpToLog();
    if (similarity < strictThreshold) {
        return null;
    }
    return p;
}