commit 2dc8767a1ea463c7cb3d0db0d29729a650a8656a Author: TeZ Date: Wed Apr 6 20:47:47 2022 +0100 first commit diff --git a/MIKROLAB_TEZ/Blob.pde b/MIKROLAB_TEZ/Blob.pde new file mode 100644 index 0000000..d257953 --- /dev/null +++ b/MIKROLAB_TEZ/Blob.pde @@ -0,0 +1,134 @@ +/** + * Blob Class + * + * Based on this example by Daniel Shiffman: + * http://shiffman.net/2011/04/26/opencv-matching-faces-over-time/ + * + * @author: Jordi Tost (@jorditost) + * + * University of Applied Sciences Potsdam, 2014 + */ + +import oscP5.*; +import netP5.*; + +private static NetAddress oscOutAddress; +private static OscMessage mMessage; + + +class Blob { + private final static int OSC_OUT_PERIOD = 100; + private final static int OSC_OUT_PORT = 8666; + private final static String OSC_OUT_HOST = "localhost"; + private final static String OSC_OUT_PATTERN = "/blobOSC/"; + + private PApplet parent; + + // Contour + public Contour contour; + + // Am I available to be matched? + public boolean available; + + // Should I be deleted? + public boolean delete; + + // How long should I live if I have disappeared? + private int initTimer = 5; //127; + public int timer; + //public int xID; + + // Unique ID for each blob + int id; + + + /////////////////////////////// + // Make me + Blob(PApplet parent, int id, Contour c) { + this.parent = parent; + this.id = id; + this.contour = new Contour(parent, c.pointMat); + + available = true; + delete = false; + + timer = initTimer; + oscOutAddress = new NetAddress(OSC_OUT_HOST, OSC_OUT_PORT); + mMessage = new OscMessage(OSC_OUT_PATTERN); + } + + + /////////////////////////////// + // Show me + void display() { + Rectangle r = contour.getBoundingBox(); + + float opacity = map(timer, 0, initTimer, 0, 127); + fill(0, 0, 255, opacity); + stroke(0, 0, 255); + rect(r.x, r.y, r.width, r.height); + fill(255, 2*opacity); + textSize(26); + text(""+id, r.x+10, r.y+30); + } + + + /////////////////////////////// + // Give me a new contour for this blob (shape, points, location, size) + // Oooh, it would be nice to lerp here! + void update(Contour newC) { + + contour = new Contour(parent, newC.pointMat); + + // Is there a way to update the contour's points without creating a new one? + /*ArrayList newPoints = newC.getPoints(); + Point[] inputPoints = new Point[newPoints.size()]; + + for(int i = 0; i < newPoints.size(); i++){ + inputPoints[i] = new Point(newPoints.get(i).x, newPoints.get(i).y); + } + contour.loadPoints(inputPoints);*/ + + timer = initTimer; + } + + /////////////////////////////// + // Count me down, I am gone + void countDown() { + timer--; + } + + /////////////////////////////// + // I am deed, delete me + boolean dead() { + if (timer < 0) return true; + return false; + } + + /////////////////////////////// + public Rectangle getBoundingBox() { + return contour.getBoundingBox(); + } + + /////////////////////////////// + //send OSC Data + public void sendOsc() { + + Rectangle r = contour.getBoundingBox(); + double mx = r.getCenterX(); + float x = (float) mx; + double my = r.getCenterY(); + float y = (float) my; + + String mAddrPatt = OSC_OUT_PATTERN; + mMessage.clear(); + mMessage.setAddrPattern(mAddrPatt+"id"+"x"+"y"+"w"+"h"); + mMessage.add(id); + mMessage.add(x); + mMessage.add(y); + mMessage.add(r.width); + mMessage.add(r.height); + + OscP5.flush(mMessage, oscOutAddress); + } +} diff --git a/MIKROLAB_TEZ/MIKROLAB_TEZ.pde b/MIKROLAB_TEZ/MIKROLAB_TEZ.pde new file mode 100644 index 0000000..42478e4 --- /dev/null +++ b/MIKROLAB_TEZ/MIKROLAB_TEZ.pde @@ -0,0 +1,1031 @@ +//TO-DO +// add a cvs recorder for blop positions +//timer + +import gab.opencv.*; +import java.awt.Rectangle; +import processing.video.*; +import controlP5.*; +import oscP5.*; +import netP5.*; +final static int OSC_IN_PORT = 8444; + +OscP5 mOscP5; +OpenCV opencv; +Capture video; +PImage src, preProcessedImage, processedImage, contoursImage; +//record time-lapse +boolean record = false; +boolean invert = true; +ArrayList contours; +// List of detected contours parsed as blobs (every frame) +ArrayList newBlobContours; +// List of my blob objects (persistent) +ArrayList blobList; +// Number of blobs detected over all time. Used to set IDs. +int blobCount = 0; + +float scalefactor = 1.0, scaleX = 1.0, scaleY = 1.0 ; +float contrast = 3.0; +int brightness = 0; +int threshold = 75; +boolean useAdaptiveThreshold = false; // use basic thresholding +boolean RecordTimelapse = false; // genera una imagen por segundo +boolean screenmode = true; +boolean blobSwitch = true; +boolean bSwitch = true; +boolean srcswitch = true; +boolean helpflag = false; +int thresholdBlockSize = 489; +int thresholdConstant = 45; +int blobSizeThreshold = 20; +int blurSize = 4; +IntList bAreas; +IntList bX; +IntList bY; +int xID=0; +int xArea=0; + + +// Control vars +ControlP5 cp5; +int buttonColor; +int buttonBgColor; +long lastOscMillis; +Textlabel myTitle; +Textlabel controllers; +boolean showcontrol = false; + + +// Console vars +String[] cons = {"1","2","3","4","5","6","7","8"}; +boolean console = false; +int consindex = 0; + +// camera vars +String[] cameras = Capture.list(); +int capW = 960, capH = 540; + + +void setup() { + // size(1160, 540); + fullScreen(); + println("screen width: " + width + "screen height: " + height); + surface.setResizable(true); + noStroke(); + + // clear console + cons(1,"clear"); + + // list cameras + printCameraList(); + + + // frameRate(15); + lastOscMillis = millis(); + mOscP5 = new OscP5(this, OSC_IN_PORT); + + // init video capture size and start video + setCaptureSize(16); // argument is the number of the camera (see camera list) + + // init Contours + contours = new ArrayList(); + + // Blobs list + blobList = new ArrayList(); + + // Init Controls + cp5 = new ControlP5(this); + initControls(); + + // Set thresholding + toggleAdaptiveThreshold(useAdaptiveThreshold); + + // Reset Blob Timer + btimer_reset(); + + bAreas = new IntList(); + bX = new IntList(); + bY = new IntList(); + +} + + + + +//////////////////////////////////// +///////// DRAW LOOP //////////////// +//////////////////////////////////// +void draw() { + background(0,0,0); + + // Read last captured frame + if (video.available()) { + video.read(); + } + + // Load the new frame of our camera in to OpenCV + opencv.useColor(); + opencv.loadImage(video); + + // Flips the image horizontally + opencv.flip(OpenCV.HORIZONTAL); + src = opencv.getSnapshot(); + + /////////////////////////////// + // <1> PRE-PROCESS IMAGE + // - Grey channel + // - Brightness / Contrast + /////////////////////////////// + + // Gray channel + opencv.gray(); + //opencv.brightness(brightness); + opencv.contrast(contrast); + // Save snapshot for display + preProcessedImage = opencv.getSnapshot(); + + /////////////////////////////// + // <2> PROCESS IMAGE + // - Threshold + // - Noise Supression + /////////////////////////////// + + // Adaptive threshold - Good when non-uniform illumination + if (useAdaptiveThreshold) { + + // Block size must be odd and greater than 3 + if (thresholdBlockSize%2 == 0) thresholdBlockSize++; + if (thresholdBlockSize < 3) thresholdBlockSize = 3; + + opencv.adaptiveThreshold(thresholdBlockSize, thresholdConstant); + + // Basic threshold - range [0, 255] + } else { + opencv.threshold(threshold); + } + + if(invert){ + // Invert (black bg, white blobs) + opencv.invert(); + } + + // Reduce noise - Dilate and erode to close holes + opencv.dilate(); + opencv.erode(); + + // Blur + opencv.blur(blurSize); + + + // Save snapshot for display + processedImage = opencv.getSnapshot(); + + /////////////////////////////// + // <3> FIND CONTOURS + /////////////////////////////// + + detectBlobs(); + // Passing 'true' sorts them by descending area. + //contours = opencv.findContours(true, true); + // Save snapshot for display + contoursImage = opencv.getSnapshot(); + + + + if (screenmode){ + // Draw + pushMatrix(); + // Leave space for ControlP5 sliders + //translate(width-src.width, 0); + translate(0, 0); + // Display images + displayImages(); + + // Display contours in the lower right window + pushMatrix(); + //scale(0.5 * scalefactor); + scale(0.5 * scaleX,0.5 * scaleY); + translate(src.width, src.height * 1); + // Contours + if (bSwitch){displayContours();} + //displayContoursBoundingBoxes(); + // Blobs + if (bSwitch){ displayBlobs();} + popMatrix(); + popMatrix(); + + } else{ + // Draw + pushMatrix(); + // translate(width-src.width, 0); + translate(0, 0); + displayTrack(); + // Display contours in the lower right window + pushMatrix(); + // scale(scalefactor); + scale(scaleX, scaleY); + // Contours + if (bSwitch){displayContours();} + //displayContoursBoundingBoxes(); + // Blobs + if (bSwitch){displayBlobs(); } + popMatrix(); + popMatrix(); + + + }// end if screenmode + + + // SHOW CONTROLS + if(showcontrol){ + // background controls + fill(0, 80, 80, 200); + noStroke(); + rect(0, 0, 180, 270); + showControls(); + }else{hideControls();} + + + // SHOW CONSOLE + if(console){ + showConsole(); + } + + // SHOW HELP + if(helpflag){ + showHelp(); + } + + + + + // press R key for timelapse recording + + if (record == true) { + saveFrame("timelapse-######.png"); + delay(100); + } + if (record == false) { + record = false; // Stop recording to the file + } + + // write osc + if (millis()-lastOscMillis > 100) { + for (Blob b : blobList) { + b.sendOsc(); + } + // lastOscMillis = millis(); + } + + // draw blob lines and reset blobs every 3 seconds + if(btimer_passed(3)){ + resetBlobs(); + btimer_reset(); + } + + + +} // END DRAW LOOP + + +/////////////////////// +// Display Functions +/////////////////////// + +void displayImages() { + + // + + pushMatrix(); + // scale(0.5); + // scale(scalefactor / 2.); + scale(0.5 * scaleX,0.5 * scaleY); + image(src, 0, 0); + image(preProcessedImage, src.width, 0); + image(processedImage, 0, src.height); + image(src, src.width, src.height); + popMatrix(); + + stroke(255); + fill(255); + textSize(12); + text("Source", 10, 25); + text("Pre-processed Image", src.width/2 * scalefactor + 10, 25); + text("Processed Image", 10, src.height/2 * scalefactor + 25); + text("Tracked Points", src.width/2 * scalefactor + 10, src.height/2 * scalefactor + 25); +} + +//////////////////////// +void displayTrack() { + pushMatrix(); + //scale(1.); + // scale(scalefactor); + scale(scaleX,scaleY); + if(srcswitch){image(src, 0, 0);} + popMatrix(); + + + stroke(255); + fill(255,0,0); + textSize(24); + if(srcswitch){text("Live Tracking", 10, 20);} +} + +/////////////////////// +void displayBlobs() { + + // if(blobSwitch){blobLines();} + + for (Blob b : blobList) { + strokeWeight(1); + b.display(); + } + +} + +/////////////////////// +void displayContours() { + + // Contours + for (int i=0; i 0.9 * src.width * src.height) || + (r.width < blobSizeThreshold || r.height < blobSizeThreshold)) + continue; + + stroke(255, 0, 0); + fill(255, 0, 0, 150); + strokeWeight(2); + rect(r.x, r.y, r.width, r.height); + } +} + +//////////////////// +// Blob Detection +//////////////////// + +void detectBlobs() { + + // Contours detected in this frame + // Passing 'true' sorts them by descending area. + contours = opencv.findContours(true, true); + + newBlobContours = getBlobsFromContours(contours); + + cons(1, "contours.size(): " + contours.size()); + cons(2, "newBlobContours.size(): " + newBlobContours.size()); + cons(3, "blobList.size(): " + blobList.size()); + + + // Check if the detected blobs already exist are new or some has disappeared. + +if (blobSwitch){ + // SCENARIO 1 + // blobList is empty + if (blobList.isEmpty()) { + // Just make a Blob object for every face Rectangle + for (int i = 0; i < newBlobContours.size (); i++) { + // println("+++ New blob detected with ID: " + blobCount); + blobList.add(new Blob(this, blobCount, newBlobContours.get(i))); + blobCount++; + + /* + // for bloblines + Rectangle r = newBlobContours.get(i).getBoundingBox(); + xArea=r.width * r.height; + bAreas.append(xArea); + int tempX = (int)r.getCenterX(); + bX.append(tempX); + int tempY=(int)r.getCenterY(); + bY.append(tempX); + + */ + + } + + + // SCENARIO 2 + // We have fewer Blob objects than face Rectangles found from OpenCV in this frame + } else if (blobList.size() <= newBlobContours.size()) { + boolean[] used = new boolean[newBlobContours.size()]; + // Match existing Blob objects with a Rectangle + for (Blob b : blobList) { + // Find the new blob newBlobContours.get(index) that is closest to blob b + // set used[index] to true so that it can't be used twice + float record = 50000; + int index = -1; + for (int i = 0; i < newBlobContours.size (); i++) { + float d = dist(newBlobContours.get(i).getBoundingBox().x, newBlobContours.get(i).getBoundingBox().y, b.getBoundingBox().x, b.getBoundingBox().y); + //float d = dist(blobs[i].x, blobs[i].y, b.r.x, b.r.y); + if (d < record && !used[i]) { + record = d; + index = i; + } + + } + // Update Blob object location + used[index] = true; + b.update(newBlobContours.get(index)); + } + // Add any unused blobs + for (int i = 0; i < newBlobContours.size (); i++) { + if (!used[i]) { + // println("+++ New blob detected with ID: " + blobCount); + blobList.add(new Blob(this, blobCount, newBlobContours.get(i))); + //blobList.add(new Blob(blobCount, blobs[i].x, blobs[i].y, blobs[i].width, blobs[i].height)); + blobCount++; + } + } + + // SCENARIO 3 + // We have more Blob objects than blob Rectangles found from OpenCV in this frame + } else { + // All Blob objects start out as available + for (Blob b : blobList) { + b.available = true; + } + // Match Rectangle with a Blob object + for (int i = 0; i < newBlobContours.size (); i++) { + // Find blob object closest to the newBlobContours.get(i) Contour + // set available to false + float record = 50000; + int index = -1; + for (int j = 0; j < blobList.size (); j++) { + Blob b = blobList.get(j); + float d = dist(newBlobContours.get(i).getBoundingBox().x, newBlobContours.get(i).getBoundingBox().y, b.getBoundingBox().x, b.getBoundingBox().y); + //float d = dist(blobs[i].x, blobs[i].y, b.r.x, b.r.y); + if (d < record && b.available) { + record = d; + index = j; + + } + + + } + // Update Blob object location + Blob b = blobList.get(index); + b.available = false; + b.update(newBlobContours.get(i)); + + /* + // for bloblines + Rectangle r = newBlobContours.get(i).getBoundingBox(); + xArea=r.width * r.height; + bAreas.set(i,xArea); + int tempX = (int)r.getCenterX(); + bX.set(i,tempX); + int tempY=(int)r.getCenterY(); + bY.set(i,tempY); +*/ + + + } + // Start to kill any left over Blob objects + for (Blob b : blobList) { + if (b.available) { + b.countDown(); + if (b.dead()) { + b.delete = true; + } + } + } + } + + + + // Delete any blob that should be deleted + for (int i = blobList.size ()-1; i >= 0; i--) { + Blob b = blobList.get(i); + if (b.delete) { + blobList.remove(i); + } + } + } + +} + +/////////////////////// +void resetBlobs(){ + + blobSwitch = false; + + for (int i = blobList.size ()-1; i >= 0; i--) { + blobList.remove(i);} + blobCount=0; + for (int i=0; i0){ + for(int i=1; i getBlobsFromContours(ArrayList newContours) { + + ArrayList newBlobs = new ArrayList(); + + // Which of these contours are blobs? + for (int i=0; i 0.9 * src.width * src.height) || + (r.width < blobSizeThreshold || r.height < blobSizeThreshold)) + continue; + + newBlobs.add(contour); + } + + return newBlobs; +} + + +////////////////////////// +// CONTROL P5 Functions +////////////////////////// + +void initControls() { + + cp5.addScrollableList("cameraz") + .setPosition(180, 0) + .setSize(300, 300) + .setBarHeight(20) + .setItemHeight(20) + .addItems(cameras) + .setCaptionLabel("video input") + // .setType(ScrollableList.LIST) // currently supported DROPDOWN and LIST + ; + + cp5.get(ScrollableList.class, "cameraz").setType(ControlP5.DROPDOWN); + cp5.get(ScrollableList.class, "cameraz").close(); + cp5.get(ScrollableList.class, "cameraz").setColorBackground(#008080); + CColor c = new CColor(); + c.setBackground(color(0,80,80)); + c.setAlpha(100); + cp5.get(ScrollableList.class, "cameraz").setColor(c); + + + + PFont pfont = createFont("Arial",20,true); // use true/false for smooth/no-smooth + ControlFont font = new ControlFont(pfont,12); + + //label + myTitle = cp5.addTextlabel("label") + .setText("M I K R O T R A C K E R") + .setPosition(16, 40) + .setColorValue(color(0,0,0)) + .setFont(font) + //.setColorValue(0x000000ff) + ; + + + // Slider for contrast + cp5.addSlider("contrast") + .setLabel("contrast") + .setPosition(10, 70) + .setRange(0.0, 6.0) + .setColorValue(color(255)) + .setColorActive(color(0,100,0)) + .setColorForeground(color(0,100,0)) + .setColorBackground(color(0, 0, 0)) + ; + + + + // Slider for threshold + cp5.addSlider("threshold") + .setLabel("threshold") + .setPosition(10, 90) + .setRange(0, 255) + .setColorValue(color(255)) + .setColorActive(color(0,100,0)) + .setColorForeground(color(0,100,0)) + .setColorBackground(color(0, 0, 0)) + ; + + // Toggle to activae adaptive threshold + cp5.addToggle("toggleAdaptiveThreshold") + .setLabel("use adaptive threshold") + .setSize(10, 10) + .setPosition(10, 120) + .setColorValue(color(255)) + .setColorActive(color(0,100,0)) + .setColorForeground(color(0,100,0)) + .setColorBackground(color(0, 0, 0)) + ; + + // Slider for adaptive threshold block size + cp5.addSlider("thresholdBlockSize") + .setLabel("a.t. block size") + .setPosition(10, 150) + .setRange(1, 700) + .setColorValue(color(255)) + .setColorActive(color(0,100,0)) + .setColorForeground(color(0,100,0)) + .setColorBackground(color(0, 0, 0)) + ; + + // Slider for adaptive threshold constant + cp5.addSlider("thresholdConstant") + .setLabel("a.t. constant") + .setPosition(10, 170) + .setRange(-100, 100) + .setColorValue(color(255)) + .setColorActive(color(0,100,0)) + .setColorForeground(color(0,100,0)) + .setColorBackground(color(0, 0, 0)) + ; + + // Slider for blur size + cp5.addSlider("blurSize") + .setLabel("blur size") + .setPosition(10, 210) + .setRange(1, 20) + .setColorValue(color(255)) + .setColorActive(color(0,100,0)) + .setColorForeground(color(0,100,0)) + .setColorBackground(color(0, 0, 0)) + ; + + // Slider for minimum blob size + cp5.addSlider("blobSizeThreshold") + .setLabel("min blob size") + .setPosition(10, 230) + .setRange(0, 60) + .setColorValue(color(255)) + .setColorActive(color(0,100,0)) + .setColorForeground(color(0,100,0)) + .setColorBackground(color(0, 0, 0)) + ; + +/* + // Toggle to activae record CVS file + cp5.addToggle("toggleRecordTimelapse") + .setLabel("record timelapse") + .setSize(10, 10) + .setPosition(15, 380) + .setColorValue(color(255)) + .setColorActive(color(0,100,0)) + .setColorForeground(color(0,100,0)) + .setColorBackground(color(0, 0, 0)) + ; + + // Slider for timelapse + cp5.addSlider("timelapse") + .setLabel("time-lapse") + .setPosition(15, 410) + .setRange(0.01, 60) + .setColorValue(color(255)) + .setColorActive(color(0,100,0)) + .setColorForeground(color(0,100,0)) + .setColorBackground(color(0, 0, 0)) + ; +*/ + + // Store the default background color, we gonna need it later + buttonColor = cp5.getController("contrast").getColor().getForeground(); + buttonBgColor = cp5.getController("contrast").getColor().getBackground(); + +} + +////////////////////////// +void toggleAdaptiveThreshold(boolean theFlag) { + + useAdaptiveThreshold = theFlag; + + if (useAdaptiveThreshold) { + + // Lock basic threshold + setLock(cp5.getController("threshold"), true); + + // Unlock adaptive threshold + setLock(cp5.getController("thresholdBlockSize"), false); + setLock(cp5.getController("thresholdConstant"), false); + } else { + + // Unlock basic threshold + setLock(cp5.getController("threshold"), false); + + // Lock adaptive threshold + setLock(cp5.getController("thresholdBlockSize"), true); + setLock(cp5.getController("thresholdConstant"), true); + } +} + +////////////////////////// +void setLock(Controller theController, boolean theValue) { + + theController.setLock(theValue); + + if (theValue) { + theController.setColorBackground(color(150, 150)); + theController.setColorForeground(color(100, 100)); + } else { + theController.setColorBackground(color(buttonBgColor)); + theController.setColorForeground(color(buttonColor)); + } +} + +////////////////////////// +void hideControls(){ + cp5.getController("cameraz").hide(); + cp5.getController("contrast").hide(); + cp5.getController("label").hide(); + cp5.getController("threshold").hide(); + cp5.getController("toggleAdaptiveThreshold").hide(); + cp5.getController("thresholdBlockSize").hide(); + cp5.getController("thresholdConstant").hide(); + cp5.getController("blurSize").hide(); + cp5.getController("blobSizeThreshold").hide(); +// cp5.getController("toggleRecordTimelapse").hide(); +// cp5.getController("timelapse").hide(); +} + +////////////////////////// +void showControls(){ + cp5.getController("cameraz").show(); + cp5.getController("contrast").show(); + cp5.getController("label").show(); + cp5.getController("threshold").show(); + cp5.getController("toggleAdaptiveThreshold").show(); + cp5.getController("thresholdBlockSize").show(); + cp5.getController("thresholdConstant").show(); + cp5.getController("blurSize").show(); + cp5.getController("blobSizeThreshold").show(); +// cp5.getController("toggleRecordTimelapse").show(); +// cp5.getController("timelapse").show(); +} + +////////////////////////// +void cameraz(int n) { + /* request the selected item based on index n */ + // println(n, cp5.get(ScrollableList.class, "cameraz").getItem(n)); + + cons(5, cameras[n]); + cp5.get(ScrollableList.class, "cameraz").close(); + + video.stop(); + + setCaptureSize(n); + + // video = new Capture(this, capW, capH, cameras[n]); + // video.start(); +} + +////////////////////////// +void toggleRecordTimelapse(boolean theFlag) { + + RecordTimelapse = theFlag; + + if (RecordTimelapse) { + + // Lock basic threshold + record = true; + + setLock(cp5.getController("timelapse"), true); + } else { + record = false; + } +} + +void keyPressed() { + + if (key == '0' ) { // toggle src image + srcswitch = !(srcswitch); + } + + if (key == '1') { // show capture / blob screens + screenmode = !(screenmode); + } + + + if (key == 'C' || key == 'c') { // toggle showcontrol + showcontrol = !(showcontrol); + } + + if (key == 'I' || key == 'i') { // invert + invert = !(invert); + } + + if (key == '~' ) { // toggle console + console = !(console); + } + + + if (key == 'B' || key == 'b') { // reset blobs + resetBlobs(); + } + + + if (key == 'x') { + bSwitch=!(bSwitch); + } + + + if (key == 's') { + saveFrame("mikro-######.png"); + } + + + if (key == 'H' || key == 'h') { + helpflag = !helpflag; + + } + + + /* + if (key == 'R' || key == 'r') { // Press R start time-lapse + record = true; + } + + if (key == 'S' || key == 's') { // Press s stop time-lapse + record = false; + } + */ + +} + + +/////// SHOW HELP MENU /////// +void showHelp(){ + + + fill(0, 0, 0, 90); + noStroke(); + int cleft = (width/2) - (width/4); + int ctop = (height/2) - (height/4); + + rect(cleft,ctop, width/2, height/2); + + stroke(0,255,0); + fill(0,255,0); + textSize(24); + + text("key: h --> this help" , cleft+ 10, ctop + 30); + text("key: c --> openCV controls" , cleft+ 10, ctop + 70); + text("key: 1 --> Tracking full screen" , cleft+ 10, ctop + 110); + text("key: 0 --> toggle source image (in full screen)" , cleft+ 10, ctop + 150); + text("key: i --> invert fx image" , cleft+ 10, ctop + 190); + text("key: s --> save frame" , cleft+ 10, ctop + 230); + text("key: ~ --> message console" , cleft+ 10, ctop + 270); + + +} +///////////////////////////////////////// +// 8 LINES - BOTTOM SCREEN - CONSOLE +///////////////////////////////////////// + +void showConsole(){ + fill(40, 40, 0, 200); + noStroke(); + int ctop=height-200; // height - height/4; + rect(0,ctop, width, height); + + stroke(0,255,0); + fill(0,255,0); + textSize(14); + + int cs=cons.length - 1; + + text(cons[0] , 10, ctop + 20); + text(cons[1] , 10, ctop + 40); + text(cons[2] , 10, ctop + 60); + text(cons[3] , 10, ctop + 80); + text(cons[4] , 10, ctop + 100); + text(cons[5] , 10, ctop + 120); + text(cons[6] , 10, ctop + 140); + text(cons[7] , 10, ctop + 160); +} + + +////////////////////////////////////////// +void cons(int cline, String mystring){ + // consindex++; + // consindex=consindex % 8; + consindex = cline -1; + cons[consindex]= "> " + mystring; + // println(cons[consindex]); + + // clear + if(cline==0 || mystring=="clear"){ + for(int i=0; i<8;i++){ + cons[i] = ">> "; + } + } + +} + + +//////////////////////// +void printCameraList(){ + // print cameras list + if (cameras.length == 0) { + println("There are no cameras available for capture."); + exit(); + } else { + println("Available cameras:"); + for (int i = 0; i < cameras.length; i++) { + println("index: " + i + " " + cameras[i]); + } + } + +} +//////////////////////// +void setCaptureSize(int n){ + + blobSwitch = false; + + String mystring = cameras[n]; + int mybegin = mystring.indexOf("size=") + 5; + int myend = mystring.indexOf(",fps"); + // println("mybegin: " + mybegin + " myend: " + myend); + String tempstring=mystring.substring(mybegin, myend); +// println("tempstring: " + tempstring); + int xbegin = tempstring.indexOf("x"); +// println("x: " + xbegin); + String stX=tempstring.substring(0, xbegin); + String stY=tempstring.substring(xbegin+1,tempstring.length()); + capW = int(stX); + capH = int(stY); + println("capW: " + capW + " capH: " + capH); + cons(6,"capW: " + capW + " capH: " + capH); + + // capW = 960; + // capH = 540; + + video = new Capture(this, capW, capH, cameras[n]); + video.start(); + + scalefactor= float(width) / float(video.width); + scaleX= float(width) / float(video.width); + scaleY= float(height) / float(video.height); + cons(8,"screen width: " + width + " video.width: " + video.width + " screen height: " + height + " video.height: " + video.height); + cons(7,"scaleX: " + scaleX + " scaleY: " + scaleY); + + opencv = new OpenCV(this, capW, capH); + + blobSwitch = true; + +} + +////////////////////////////// +int btime = -1; + +void btimer_reset() { + btime = millis(); +} + +boolean btimer_passed(int seconds) { + return ( millis() - btime > 1000 * seconds ); +} + +////////////////////////////// diff --git a/MIKROLAB_TEZ/mikro-039379.png b/MIKROLAB_TEZ/mikro-039379.png new file mode 100644 index 0000000..270f523 Binary files /dev/null and b/MIKROLAB_TEZ/mikro-039379.png differ diff --git a/README.md b/README.md new file mode 100644 index 0000000..794eda6 --- /dev/null +++ b/README.md @@ -0,0 +1,11 @@ +====================== + +TeZ LIFE/FORMS WORKSHOP + +[ 2022 ] + +====================== + +![This is an image](/images/LIFEFORMS-LOGO.png) + +====================== diff --git a/images/LIFEFORMS-LOGO.png b/images/LIFEFORMS-LOGO.png new file mode 100644 index 0000000..ca8b06f Binary files /dev/null and b/images/LIFEFORMS-LOGO.png differ diff --git a/lifeforms-stage-2022.pdf b/lifeforms-stage-2022.pdf new file mode 100644 index 0000000..8cd9d99 Binary files 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blobX.add(bX); + blobY.add(bY); + blobS.add(bS); + blobA.add(bA); + isPacMan = selected; + } + + void addXYSA(int X, int Y, int S, int A) // add coordinates + { + blobX.add(X); + blobY.add(Y); + blobS.add(S); + blobA.add(A); + } + + void togglePacMan() { + if(isPacMan) { + isPacMan = false; + } else { + isPacMan = true; + } + } +} diff --git a/microtracker/LICENSE b/microtracker/LICENSE new file mode 100755 index 0000000..9cecc1d --- /dev/null +++ b/microtracker/LICENSE @@ -0,0 +1,674 @@ + GNU GENERAL PUBLIC LICENSE + Version 3, 29 June 2007 + + Copyright (C) 2007 Free Software Foundation, Inc. + Everyone is permitted to copy and distribute verbatim copies + of this license document, but changing it is not allowed. + + Preamble + + The GNU General Public License is a free, copyleft license for +software and other kinds of works. + + The licenses for most software and other practical works are designed +to take away your freedom to share and change the works. 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Of course, your program's commands +might be different; for a GUI interface, you would use an "about box". + + You should also get your employer (if you work as a programmer) or school, +if any, to sign a "copyright disclaimer" for the program, if necessary. +For more information on this, and how to apply and follow the GNU GPL, see +. + + The GNU General Public License does not permit incorporating your program +into proprietary programs. If your program is a subroutine library, you +may consider it more useful to permit linking proprietary applications with +the library. If this is what you want to do, use the GNU Lesser General +Public License instead of this License. But first, please read +. diff --git a/microtracker/README.md b/microtracker/README.md new file mode 100755 index 0000000..5ac6e3f --- /dev/null +++ b/microtracker/README.md @@ -0,0 +1,2 @@ +# Tracking code for processing, using Open CV +See comments in code. diff --git a/microtracker/Scrollbars.pde b/microtracker/Scrollbars.pde new file mode 100644 index 0000000..816e131 --- /dev/null +++ b/microtracker/Scrollbars.pde @@ -0,0 +1,71 @@ +/* Scrollbar class */ +class HScrollbar { + int swidth, sheight; // width and height of bar + float xpos, ypos; // x and y position of bar + float spos, newspos; // x position of slider + float sposMin, sposMax; // max and min values of slider + int loose; // how loose/heavy + boolean over; // is the mouse over the slider? + boolean locked; + float ratio; + + + HScrollbar (float xp, float yp, int sw, int sh, int l) { + swidth = sw; + sheight = sh; + int widthtoheight = sw - sh; + ratio = (float)sw / (float)widthtoheight; + xpos = xp; + ypos = yp-sheight/2; + spos = xpos + swidth/2 - sheight/2; + newspos = spos; + sposMin = xpos; + sposMax = xpos + swidth - sheight; + loose = l; + } + + boolean update(boolean scroll_lock) { + if (mousePressed && overEvent() && ! scroll_lock) { + locked = true; + scroll_lock=true; + } + if (!mousePressed) { + locked = false; + scroll_lock=false; + } + if (locked) { + newspos = constrain(mouseX-sheight/2, sposMin, sposMax); + + if (abs(newspos - spos) > 1) { + spos = newspos; + } + } + return scroll_lock; + } + + float constrain(float val, float minv, float maxv) { + return min(max(val, minv), maxv); + } + + boolean overEvent() { + return (mouseX > xpos && mouseX < xpos+swidth && mouseY > ypos && mouseY < ypos+sheight); + } + + void display() { + noStroke(); + fill(204); + rect(xpos, ypos, swidth, sheight); + if (over || locked) { + fill(0, 0, 0); + } else { + fill(102, 102, 102); + } + rect(spos, ypos, sheight, sheight); + } + + float getPos() { + // Convert spos to be values between + // 0 and the total width of the scrollbar + return spos * ratio; + } +} diff --git a/microtracker/Serif-48.vlw b/microtracker/Serif-48.vlw new file mode 100755 index 0000000..9d0ac88 Binary files /dev/null and b/microtracker/Serif-48.vlw differ diff --git a/microtracker/dot.png b/microtracker/dot.png new file mode 100755 index 0000000..76f73e6 Binary files /dev/null and b/microtracker/dot.png differ diff --git a/microtracker/microtracker.pde b/microtracker/microtracker.pde new file mode 100644 index 0000000..767bb4a --- /dev/null +++ b/microtracker/microtracker.pde @@ -0,0 +1,240 @@ +/* + This code is free software: you can redistribute it and/or modify + it under the terms of the GNU General Public License as published + by the Free Software Foundation, either version 3 of the License, + or (at your option) any later version. + This code is distributed in the hope that it will be useful, but + WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU + General Public License for more details. + You should have received a copy of the GNU General Public License + along with this code. If not, see . +*/ + +/* Code logic in short: + The code reads the webcam image + Detects contours + Filter contours based on size + Checks whether contour is new or a movement of an existing contour based on a threshold + Reoccuring contours are saved as blobs + The first blob is assigned as being pacman, you can also click on another blob to switch pacman + A matrix of dots is drawn + In case pacman is near a dot, it gets destroy and score + 1 +*/ + +/* Most important values for tracking: +contourTreshold +sizeTreshold +/* + +/* Load libraries */ +import gab.opencv.*; // Load library https://github.com/atduskgreg/opencv-processing +import processing.video.*; // Load video camera library + +/* Declare variables */ +Capture video; // Camera stream +OpenCV opencv; // OpenCV +PImage now, diff; // PImage variables to store the current image and the difference between two images + +PGraphics drawing; // PGraphics buffer + +ArrayList contours; // ArrayList to hold all detected contours +ArrayList blobs = new ArrayList (); // ArrayList to hold all blobs + +PFont font; // A new font object + +int ContourThreshold = 20; // Contour detection sensitivity of the script +int SizeThreshold = 100; // Contour size threshold +int MovementMargin = 40; // Max difference in coordinates +int segmentSize = 5; // orig 5; +int segmentThreshold = segmentSize * segmentSize / 3; + +/* Slider Bar */ +HScrollbar hs1, hs2; +Boolean scroll_lock = false; + +/* Setup function */ +void setup() { + size(640, 960); // Create canvas window + + // Select camera: print all available cameras in a list + String[] cameras = Capture.list(); + if (cameras.length == 0) { + println("There are no cameras available for capture."); + exit(); + } else { + println("Available cameras:"); + for (int i = 0; i < cameras.length; i++) { + println(i, cameras[i]); + } + } + // select the number of the webcam camera from the list + // video = new Capture(this, 640, 480, cameras[12], 30); // Define video size, with webcam plugged in + video = new Capture(this, 640, 480, cameras[16], 30); + opencv = new OpenCV(this, 640, 480); // Define opencv size + + video.start(); // Start capturing video + + font = loadFont("Serif-48.vlw"); // Load the font file into memory + textFont(font, 12); // Set font size + strokeWeight(3); // Set stroke size + + noStroke(); + hs1 = new HScrollbar(0, height/2-8, width, 16, 16); + hs2 = new HScrollbar(0, height/2+8, width, 16, 16); +} + +/* Draw function */ +void draw() { + + // start buffer + drawing = createGraphics(640, 480); + drawing.beginDraw(); + drawing.noStroke(); + int[] segments = new int[int(640/segmentSize)*int((480)/segmentSize)]; // Set number segments + + opencv.loadImage(video); // Capture video from camera in OpenCV + + image(video, 0, 0); // Draw camera image to screen + + opencv.gray(); // Convert into gray scale + //opencv.contrast(2); // Increase contrast + opencv.invert(); // Invert b/w + //opencv.blur(3); // Reduce camera noise + opencv.threshold(ContourThreshold); // Convert to Black and White + //opencv.flip(OpenCV.VERTICAL); // Flip image vertical + + now = opencv.getOutput(); // Store image in PImage + image(now, 0, 480); // Show video (black and white) + + // Analyze image + int segmentCounter = 0; + for( int x = 1; x < 640; x = x + segmentSize) { + for ( int y = 1; y < 480; y = y + segmentSize) { + + int segmentBrightness = 0; + for ( int i = 0; i < segmentSize; i++) { + for ( int j = 0; j < segmentSize; j++) { + if (brightness(now.pixels[x+i+(y*width)+j]) > 127) { + segmentBrightness++; + } + } + } + if(segmentBrightness > segmentThreshold) { // segment is bright + segments[segmentCounter] = 1; + drawing.fill(255,255,255); + drawing.rect(x-1,y-1,12,12); + } + segmentCounter++; + } + } + + drawing.endDraw(); + + // Draw the offscreen buffer to the screen with image() + image(drawing, 0, 0); + + //opencv.loadImage(drawing); + + // Analyze video + contours = opencv.findContours(); // Find contours + + int evalc = 0; // Count number of evaluated contours + for (Contour contour : contours) { // Loop through all contours + int sumx = 0; // Sum of all x coordinates + int sections = 0; // # of sections + int sumy = 0; // Sum of all y coordinates + int area = 0; // Area of polygon + + ArrayList Xcoors = new ArrayList(); // List of all X coordinates + ArrayList Ycoors = new ArrayList(); // List of all Y coordinates + + for (PVector point : contour.getPolygonApproximation().getPoints()) { // Loop through all vertex X Y coordinates of polygon + sumx = sumx + int(point.x); // Sum up all X coordinates, needed for calculating the middle + sumy = sumy + int(point.y); // Sum up all Y coordinates, needed for calculating the middle + Xcoors.add(int(point.x)); // Store all X coordinates, needed for calculating the area + Ycoors.add(int(point.y)); // Store all Y coordinates, needed for calculating the area + sections++; // Count the number of sections + } + + // Calculate the area of the polygon + int j = 0; + for (int i = 0; i < sections; i++) { + area = area + (Xcoors.get(j)+Xcoors.get(i)) * (Ycoors.get(j)-Ycoors.get(i)); + j = i; + } + area = area / 2; + + if(area > SizeThreshold && area < 100000) { // Check whether area is above threshold and not as big as the video itself + evalc++; // Up 1 for the evaluated contours counter + noFill(); // Disable filled shapes + stroke(0, 255, 0); // Set stroke color to green + contour.draw(); // Draw the contour + fill(255, 0, 0); // Set color to red + text((sumx/sections) + ", " + (sumy/sections), (sumx/sections), (sumy/sections)); // Print the coordinates on screen + + if(blobs.size() > 0) { // Check whether this is the first blob or not + boolean withinmargin = false; // Flag whether it is close to a previous blob + int withinmarginID = 0; // Remember which one that was + + for( int i = 0; i < blobs.size(); i++) { // Loop through all blobs + Blob _blob = (Blob) blobs.get(i); // Make a temp copy + int lastX = _blob.blobX.get(_blob.blobX.size()-1); // most recent X coordinate + int lastY = _blob.blobY.get(_blob.blobY.size()-1); // most recent Y coordinate + + // Check whether the contour is within movement margin, otherwise it's a new blob + if(lastX < (sumx/sections + MovementMargin)){ + if(lastX > (sumx/sections - MovementMargin)) { + if(lastY < (sumy/sections + MovementMargin)) { + if(lastY > (sumy/sections - MovementMargin)) { + withinmargin = true; + withinmarginID = i; + // println("hit X old: " + lastX + "; new:" + sumx/c + "; Y old: " + lastY + "; Y new: " +sumy/c); + } + } + } + } + + _blob = null; // Reset temp copy + } + + if(withinmargin) { // Within margin? True: add coordinates to ArrayList + Blob _blob = (Blob) blobs.get(withinmarginID); // Make temp copy of blob + _blob.addXYSA(sumx/sections, sumy/sections, sections, area); // Add the information to the ArrayLists of the blob object + blobs.set(withinmarginID, _blob); // Store the blob + } else { // else: it's a new blob + blobs.add(new Blob(sumx/sections, sumy/sections, sections, area, false)); // Add new blob to the blobs ArrayList + } + } else { // Add first blob, which becomes PacMan + blobs.add(new Blob(sumx/sections, sumy/sections, sections, area, true)); // Store blob and flag as PacMan + } + } + } + + // Print some useful monitoring info to the console + println("Found " + contours.size() + " Contours; area > "+SizeThreshold+" px " + evalc + "; Total "+ blobs.size() + " blobs" + " mouseX: " + mouseX); + + + ContourThreshold = int(hs1.getPos()); // get scrollbar position + fill(0,0,255); // Set color to blue + textSize(20); // Increase text size + text("CountourThreshold: " + ContourThreshold, 20, 40); + + int multiplySizeTreshold = 2; // variable for multiplying the Sizetreshold + SizeThreshold = int(hs2.getPos()) * multiplySizeTreshold; // NEW: multiply w/ 100 to get a bigger max SizeTreshold + // SizeThreshold = int(hs2.getPos()); + text("SizeThreshold: " + SizeThreshold * 10, 30, 60); + + scroll_lock = hs1.update(scroll_lock); + scroll_lock = hs2.update(scroll_lock); + hs1.display(); + hs2.display(); + + // Wait a little before the next round to save processing power and memory + delay(40); +} + +/* Capture function */ +void captureEvent(Capture c) { + c.read(); +} diff --git a/microtracker/pacman.png b/microtracker/pacman.png new file mode 100755 index 0000000..204038d Binary files /dev/null and b/microtracker/pacman.png differ diff --git a/microtracker/sketch.properties b/microtracker/sketch.properties new file mode 100755 index 0000000..8630fa2 --- /dev/null +++ b/microtracker/sketch.properties @@ -0,0 +1,2 @@ +mode.id=processing.mode.java.JavaMode +mode=Java