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// Import necessary librariesimport gab.opencv.*;import processing.video.*;import java.awt.*;// Declare global variables for video capture and OpenCVCapture video;OpenCV opencv;// Variables for face trackingfloat tx, ty, ts; // Target x, y, and sizefloat sx, sy, ss; // Smoothed x, y, and sizevoid setup() { // Set up the canvas size size(640, 480); // Initialize the video capture with the specified pipeline video = new Capture(this, 640, 480); // Initialize OpenCV with the same dimensions as the canvas opencv = new OpenCV(this, 640, 480); // Load the frontal face cascade classifier opencv.loadCascade(OpenCV.CASCADE_FRONTALFACE); // Start the video capture video.start();}void draw() { // Load the current frame from the video into OpenCV opencv.loadImage(video); // Display the video frame on the canvas image(video, 0, 0); // Detect faces in the current frame Rectangle[] faces = opencv.detect(); // If at least one face is detected if (faces.length > 0) { // If the detected face is wider than 40 pixels if (faces[0].width > 40) { // Set target values to the center of the detected face and size based on face dimensions tx = faces[0].x + faces[0].width / 2; ty = faces[0].y + faces[0].height / 2; ts = (faces[0].width + faces[0].height) * 0.3; } } // Smoothly interpolate current position and size to the target values sx = lerp(sx, tx, 0.1); sy = lerp(sy, ty, 0.1); ss = lerp(ss, ts, 0.1); // Draw a circle around the face noFill(); stroke(255); // White color strokeWeight(5); // Thickness of the circle circle(sx, sy, ss); // Draw the circle at smoothed coordinates with smoothed size}// Event handler for video capturevoid captureEvent(Capture c) { c.read(); // Read the new frame from the capture} |
// Import necessary librariesimport gab.opencv.*;import processing.video.*;import java.awt.*;Capture video;OpenCV opencv;// Variables to store previous frame for motion detectionPImage prevFrame;// Variable to store the amount of motionfloat motionAmount = 0;float smoothedMotionAmount = 0;void setup() { // Set up the canvas size size(640, 480); // Initialize the video capture video = new Capture(this, 640, 480); // Initialize OpenCV with the same dimensions as the canvas opencv = new OpenCV(this, 640, 480); // Start the video capture video.start();}void draw() { // Load the current frame from the video if (video.available()) { video.read(); opencv.loadImage(video); } // Display the video frame on the canvas image(video, 0, 0); // Check if there is a previous frame if (prevFrame != null) { // Convert current frame and previous frame to grayscale PImage currFrameGray = createImage(video.width, video.height, RGB); PImage prevFrameGray = createImage(video.width, video.height, RGB); currFrameGray.copy(video, 0, 0, video.width, video.height, 0, 0, video.width, video.height); prevFrameGray.copy(prevFrame, 0, 0, prevFrame.width, prevFrame.height, 0, 0, prevFrame.width, prevFrame.height); currFrameGray.filter(GRAY); prevFrameGray.filter(GRAY); // Compute the absolute difference between the current frame and previous frame PImage diffFrame = createImage(video.width, video.height, RGB); diffFrame.loadPixels(); currFrameGray.loadPixels(); prevFrameGray.loadPixels(); int motionPixelCount = 0; for (int i = 0; i < diffFrame.pixels.length; i++) { int diff = int(abs(brightness(currFrameGray.pixels[i]) - brightness(prevFrameGray.pixels[i]))); diffFrame.pixels[i] = color(diff); if (diff > 30) { // Threshold to consider significant motion motionPixelCount++; } } diffFrame.updatePixels(); // Calculate the motion amount as the percentage of pixels with significant changes motionAmount = (float)motionPixelCount / diffFrame.pixels.length; // Smooth the motion amount using lerp smoothedMotionAmount = lerp(smoothedMotionAmount, motionAmount*100, 0.1); // Draw the difference image as an overlay on the original video tint(255, 180); // Set transparency image(diffFrame, 0, 0); // Display the smoothed motion amount fill(255); textSize(30); text("MOTION: " + nf(smoothedMotionAmount, 1, 3), 10, height - 10); } // Save the current frame as the previous frame for the next iteration prevFrame = createImage(video.width, video.height, RGB); prevFrame.copy(video, 0, 0, video.width, video.height, 0, 0, video.width, video.height);}// Event handler for video capturevoid captureEvent(Capture c) { c.read(); // Read the new frame from the capture} |
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// Import necessary librariesimport gab.opencv.*;import processing.video.*;import java.awt.*; // Declare global variables for video capture and OpenCVCapture video;OpenCV opencv; // Variables for face trackingfloat tx, ty, ts; // Target x, y, and sizefloat sx, sy, ss; // Smoothed x, y, and size void setup() { // Set up the canvas size size(640, 480); // Initialize the video capture with the specified pipeline video = new Capture(this, 640, 480); // Initialize OpenCV with the same dimensions as the canvas opencv = new OpenCV(this, 640, 480); // Load the frontal face cascade classifier opencv.loadCascade(OpenCV.CASCADE_FRONTALFACE); // Start the video capture video.start();} void draw() { // Load the current frame from the video into OpenCV opencv.loadImage(video); // Display the video frame on the canvas image(video, 0, 0); // Detect faces in the current frame Rectangle[] faces = opencv.detect(); // If at least one face is detected if (faces.length > 1) { int f1x= faces[0].x; int f1y= faces[0].y; int f2x= faces[1].x; int f2y= faces[1].y; tx = (f1x + f2x)*.5; ty = (f1y + f2y)*.5; circle(f1x, f2y, 22); } sx = lerp(sx,tx,0.1); sy = lerp(sy,ty,0.1); // Draw a circle around the face noFill(); stroke(255); // White color strokeWeight(5); // Thickness of the circle circle(sx, sy, ss); // Draw the circle at smoothed coordinates with smoothed size} // Event handler for video capturevoid captureEvent(Capture c) { c.read(); // Read the new frame from the capture} |
