處理開放CV臉部追蹤

Question

您好我開始用下面的代碼VOM Sparkfun做一些臉部跟蹤和得到這個錯誤：

the type OpenCV is ambiguous 

我試圖從OpenCV進行處理庫中​​的其他例子。 他們工作沒有問題（也是人臉跟蹤示例） Sparkfun的原始代碼是爲不同的OpenCV（我相信版本1）編寫的。 但我無法讓它工作，因爲代碼頂部沒有導入庫。 因爲我有OpenCV進行處理安裝我進口的：

import gab.opencv.*; 

，從那時起我得到這個錯誤。 我不明白爲什麼它不工作，我不明白爲什麼它應該工作（因爲它沒有在原始代碼中導入OpenCV）。

任何幫助將是偉大的。

謝謝。

/********************************************************************************************** 
* 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); 
} 

Answer 1

您使用了OpenCV的兩個獨立的加工包裝（GAB *和超媒體。*）均具有一類的OpenCV的他們自己。在同一個項目中使用一個或另一個，但不能同時使用兩個。 Java不知道你想使用哪一個（因此模糊的OpenCV類型錯誤）

無論如何，你似乎在使用超媒體類，所以現在刪除gab。* import作爲快速修復。

儘管gab。*庫比超媒體更好（更新），所以您可能需要將OpenCV調用更新爲將來使用該調用。