Question

这里的代码现在我可以同时检测面部和嘴部，并能够粗略测量其边界框的距离＆lt; -

问题是口腔检测似乎检测到他们定义为口腔的所有东西，即使它不是

我想使用＆＃34; face＆＃34;边界框作为口腔检测区域，以尽量减少其误差，我不知道Forloop堆叠是否有效？把口环放在脸部环路里？我很乐意编写任何帮助，我们将不胜感激

   <?php
    $dbh = "localhost";
    $dbn = "dbname";
    $dbu = "dbuser";
    $dbp = "dbpassword";

    $conn = mysql_connect($dbh,$dbu,$dbp) or die("Unable to connect do database.");
    mysql_select_db($dbn, $conn) or die("Unable to select database."); 

    $result = mysql_query("SHOW TABLES FROM $dbn") or die("Cannot list table names.");
    echo "
    <form name=\"table_browser\" action=\"".$PHP_SELF."\" method=\"GET\" >
        <select name=\"t\" onChange=\"javascript:submit();\">
            <option>Select a table</option>
    ";
    while ($row = mysql_fetch_row($result)){
        echo "        <option value=".$row[0].">".$row[0]."</option>\n";
    }
    echo "    </select>
    </form>\n";

    if (!isset($t)){
        die("Please select a table");
    }
    ?>

Answer 1

有几个问题：

您不应该在draw()中每秒多次加载OpenCV级联。您应该在setup()中执行一次，然后在detect()

draw()

OpenCV for Processing似乎覆盖第二个实例中加载的级联，并在第一个实例中加载了级联

如果准确性不是一个大问题，那么你可以通过一个级联来实现：一个级联。请注意，您可以使用检测功能的选项/提示，这可能有助于检测。例如，你可以告诉探测器只检测最大的物体，给它一个最小和最大的边界框的提示，这些边界框可能与你的设置有关，以及滤除结果的数量。

以下是上述代码示例：

import gab.opencv.*;
import java.awt.Rectangle;
import org.opencv.objdetect.Objdetect;
import processing.video.*;

Capture video;
OpenCV opencv;

//cascade detections parameters - explanations from Mastering OpenCV with Practical Computer Vision Projects
int flags = Objdetect.CASCADE_FIND_BIGGEST_OBJECT;
// Smallest object size.
int minFeatureSize = 20;
int maxFeatureSize = 80;
// How detailed should the search be. Must be larger than 1.0.
float searchScaleFactor = 1.1f;
// How much the detections should be filtered out. This should depend on how bad false detections are to your system.
// minNeighbors=2 means lots of good+bad detections, and minNeighbors=6 means good detections are given but some are missed.
int minNeighbors = 6;

void setup() {
  size(320, 240);
  noFill();
  stroke(0, 192, 0);
  strokeWeight(3);

  video = new Capture(this,width,height);
  video.start();

  opencv  = new OpenCV(this,320,240);
  opencv.loadCascade(OpenCV.CASCADE_MOUTH);
}

void draw() {
  //feed cam image to OpenCV, it turns it to grayscale
  opencv.loadImage(video);
  opencv.equalizeHistogram();
  image(opencv.getOutput(), 0, 0 );

  Rectangle[] mouths = opencv.detect(searchScaleFactor,minNeighbors,flags,minFeatureSize, maxFeatureSize);
  for (int i = 0; i < mouths.length; i++) {
    text(mouths[i].x + "," + mouths[i].y + "," + mouths[i].width + "," + mouths[i].height,mouths[i].x, mouths[i].y);
    rect(mouths[i].x, mouths[i].y, mouths[i].width, mouths[i].height);
  }
}
void captureEvent(Capture c) {
  c.read();
}

请注意，面部毛发会导致假阳性。我在answer to your previous related question中提供了更多深度笔记。我建议关注FaceOSC部分，因为它会更准确。

如何最大限度地减少面部检测错误

1 个答案: