您好我从下面的代码vom Sparkfun开始做一些面部跟踪并得到此错误：
the type OpenCV is ambiguous
我尝试了OpenCV for Processing库中的其他示例。 并且它们没有问题（也是面部跟踪示例） Sparkfun的原始代码是为不同的OpenCV（我相信的版本1）编写的。 但我无法使其工作，因为代码顶部没有导入库。 由于我安装了OpenCV for Processing，我导入了：
import gab.opencv.*;
从那以后我得到了这个错误。 我不明白为什么它不起作用，我不明白为什么它应该工作（因为它不会在原始代码中导入OpenCV）。
任何帮助都会很棒。
感谢。
/**********************************************************************************************
* Pan/Tilt Face Tracking Sketch
* Written by Ryan Owens for SparkFun Electronics
* Uses the OpenCV real-time computer vision framework from Intel
* Based on the OpenCV Processing Examples from ubaa.net
* This example is released under the Beerware License.
* (Use the code however you'd like, but mention us and by me a beer if we ever meet!)
*
* The Pan/Tilt Face Tracking Sketch interfaces with an Arduino Main board to control
* two servos, pan and tilt, which are connected to a webcam. The OpenCV library
* looks for a face in the image from the webcam. If a face is detected the sketch
* uses the coordinates of the face to manipulate the pan and tilt servos to move the webcam
* in order to keep the face in the center of the frame.
*
* Setup-
* A webcam must be connected to the computer.
* An Arduino must be connected to the computer. Note the port which the Arduino is connected on.
* The Arduino must be loaded with the SerialServoControl Sketch.
* Two servos mounted on a pan/tilt backet must be connected to the Arduino pins 2 and 3.
* The Arduino must be powered by a 9V external power supply.
*
* Read this tutorial for more information:
**********************************************************************************************/
import gab.opencv.*;
import hypermedia.video.*; //Include the video library to capture images from the webcam
import java.awt.Rectangle; //A rectangle class which keeps track of the face coordinates.
import processing.serial.*; //The serial library is needed to communicate with the Arduino.
OpenCV opencv; //Create an instance of the OpenCV library.
//Screen Size Parameters
int width = 320;
int height = 240;
// contrast/brightness values
int contrast_value = 0;
int brightness_value = 0;
Serial port; // The serial port
//Variables for keeping track of the current servo positions.
char servoTiltPosition = 90;
char servoPanPosition = 90;
//The pan/tilt servo ids for the Arduino serial command interface.
char tiltChannel = 0;
char panChannel = 1;
//These variables hold the x and y location for the middle of the detected face.
int midFaceY=0;
int midFaceX=0;
//The variables correspond to the middle of the screen, and will be compared to the midFace values
int midScreenY = (height/2);
int midScreenX = (width/2);
int midScreenWindow = 10; //This is the acceptable 'error' for the center of the screen.
//The degree of change that will be applied to the servo each time we update the position.
int stepSize=1;
void setup() {
//Create a window for the sketch.
size( width, height );
opencv = new OpenCV( this );
opencv.capture( width, height ); // open video stream
opencv.cascade( OpenCV.CASCADE_FRONTALFACE_ALT ); // load detection description, here-> front face detection : "haarcascade_frontalface_alt.xml"
println(Serial.list()); // List COM-ports (Use this to figure out which port the Arduino is connected to)
//select first com-port from the list (change the number in the [] if your sketch fails to connect to the Arduino)
port = new Serial(this, Serial.list()[0], 57600); //Baud rate is set to 57600 to match the Arduino baud rate.
// print usage
println( "Drag mouse on X-axis inside this sketch window to change contrast" );
println( "Drag mouse on Y-axis inside this sketch window to change brightness" );
//Send the initial pan/tilt angles to the Arduino to set the device up to look straight forward.
port.write(tiltChannel); //Send the Tilt Servo ID
port.write(servoTiltPosition); //Send the Tilt Position (currently 90 degrees)
port.write(panChannel); //Send the Pan Servo ID
port.write(servoPanPosition); //Send the Pan Position (currently 90 degrees)
}
public void stop() {
opencv.stop();
super.stop();
}
void draw() {
// grab a new frame
// and convert to gray
opencv.read();
opencv.convert( GRAY );
opencv.contrast( contrast_value );
opencv.brightness( brightness_value );
// proceed detection
Rectangle[] faces = opencv.detect( 1.2, 2, OpenCV.HAAR_DO_CANNY_PRUNING, 40, 40 );
// display the image
image( opencv.image(), 0, 0 );
// draw face area(s)
noFill();
stroke(255,0,0);
for( int i=0; i<faces.length; i++ ) {
rect( faces[i].x, faces[i].y, faces[i].width, faces[i].height );
}
//Find out if any faces were detected.
if(faces.length > 0){
//If a face was found, find the midpoint of the first face in the frame.
//NOTE: The .x and .y of the face rectangle corresponds to the upper left corner of the rectangle,
// so we manipulate these values to find the midpoint of the rectangle.
midFaceY = faces[0].y + (faces[0].height/2);
midFaceX = faces[0].x + (faces[0].width/2);
//Find out if the Y component of the face is below the middle of the screen.
if(midFaceY < (midScreenY - midScreenWindow)){
if(servoTiltPosition >= 5)servoTiltPosition -= stepSize; //If it is below the middle of the screen, update the tilt position variable to lower the tilt servo.
}
//Find out if the Y component of the face is above the middle of the screen.
else if(midFaceY > (midScreenY + midScreenWindow)){
if(servoTiltPosition <= 175)servoTiltPosition +=stepSize; //Update the tilt position variable to raise the tilt servo.
}
//Find out if the X component of the face is to the left of the middle of the screen.
if(midFaceX < (midScreenX - midScreenWindow)){
if(servoPanPosition >= 5)servoPanPosition -= stepSize; //Update the pan position variable to move the servo to the left.
}
//Find out if the X component of the face is to the right of the middle of the screen.
else if(midFaceX > (midScreenX + midScreenWindow)){
if(servoPanPosition <= 175)servoPanPosition +=stepSize; //Update the pan position variable to move the servo to the right.
}
}
//Update the servo positions by sending the serial command to the Arduino.
port.write(tiltChannel); //Send the tilt servo ID
port.write(servoTiltPosition); //Send the updated tilt position.
port.write(panChannel); //Send the Pan servo ID
port.write(servoPanPosition); //Send the updated pan position.
delay(1);
}
/**
* Changes contrast/brigthness values
*/
void mouseDragged() {
contrast_value = (int) map( mouseX, 0, width, -128, 128 );
brightness_value = (int) map( mouseY, 0, width, -128, 128 );
}
答案 0 :(得分：1)
您正在为OpenCV（gab。*和hypermedia。*）使用两个单独的Processing包装器，两者都拥有他们拥有的OpenCV类。在同一个项目中使用其中一个但不能同时使用。 Java无法告诉您要使用哪一个（因此模糊的OpenCV类型错误）
你似乎还在使用超媒体类，所以现在删除gab。* import作为快速修复。
gab。*库虽然比超媒体库更好（更新），但您可能希望更新OpenCV调用以便将来使用它。