timeblindness.github.io/depth.html at main · TimeBlindness/timeblindness.github.io · GitHub

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<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8">
  <title>Depth Map Video Noise Animation – Uniform Foreground Speed (Seamless & Recordable)</title>
  <style>
    body {
      background: #222;
      color: #eee;
      font-family: sans-serif;
      text-align: center;
    }
    canvas {
      border: 1px solid #555;
      margin-top: 20px;
      /* When scaled, force nearest-neighbor interpolation */
      image-rendering: pixelated;
    }
    .controls {
      margin-top: 10px;
    }
    .controls label,
    .controls input,
    .controls button {
      margin: 5px;
      font-size: 1rem;
    }
    /* Hide the video element (it supplies depth-map frames only) */
    video {
      display: none;
    }
  </style>
</head>
<body>

  <h1>Depth Map Video Noise Animation – Uniform Foreground Speed (Seamless & Recordable)</h1>
  <p>
    Upload a grayscale depth map video or image. Pixels classified as foreground (bright areas) move uniformly while background pixels remain static.
  </p>
  <div class="controls">
    <div>
      <label>Depth Source:</label>
      <label><input type="radio" name="depthSource" value="video" checked> Video</label>
      <label><input type="radio" name="depthSource" value="image"> Image</label>
    </div>
    <br>
    <div id="videoInputContainer">
      <label for="depthVideoInput">Depth Map Video:</label>
      <input type="file" id="depthVideoInput" accept="video/*">
    </div>
    <div id="imageInputContainer" style="display: none;">
      <label for="depthImageInput">Depth Map Image:</label>
      <input type="file" id="depthImageInput" accept="image/*">
    </div>
    <br>
    <label for="speedInput">Foreground Speed (px/sec):</label>
    <input type="number" id="speedInput" value="1" min="1" max="300">
    <br>
    <label for="lowerThresholdInput">Foreground Threshold (Lower Bound):</label>
    <input type="range" id="lowerThresholdInput" value="128" min="0" max="255" step="1">
    <span id="lowerThresholdValue">128</span>
    <br>
    <label for="upperThresholdInput">Foreground Threshold (Upper Bound):</label>
    <input type="range" id="upperThresholdInput" value="255" min="0" max="255" step="1">
    <span id="upperThresholdValue">255</span>
    <br>
    <label for="edgeThresholdInput">Edge Detection Threshold:</label>
    <input type="range" id="edgeThresholdInput" value="30" min="0" max="100" step="1">
    <span id="edgeThresholdValue">30</span>
    <br>
    <label for="movementDirection">Movement Direction:</label>
    <select id="movementDirection">
      <option value="vertical">Vertical</option>
      <option value="horizontal">Horizontal</option>
    </select>
    <br>
    <label for="noiseDensityInput">Noise Density (%):</label>
    <input type="number" id="noiseDensityInput" value="50" min="1" max="100">
    <br>
    <label for="speckleSizeInput">Speckle Size (px):</label>
    <input type="number" id="speckleSizeInput" value="2" min="1" max="10">
    <br>
    <label for="recordDurationInput">Record Duration (seconds):</label>
    <input type="number" id="recordDurationInput" value="5" min="1" max="60">
    <button id="recordButton">Record Video</button>
    <br>
    <button id="pauseButton">Pause</button>
  </div>
  <canvas id="noiseCanvas" width="960" height="540"></canvas>
  <!-- The video element is used only for extracting depth-map frames -->
  <video id="depthVideo" loop muted></video>

  <script>
    // === Canvas Setup ===
    const canvas = document.getElementById('noiseCanvas');
    const ctx = canvas.getContext('2d');
    // Disable smoothing on the visible canvas.
    ctx.imageSmoothingEnabled = false;
    const width = canvas.width;
    const height = canvas.height;

    // === Global Parameters ===
    let foregroundSpeed = parseFloat(document.getElementById('speedInput').value) || 1;
    document.getElementById('speedInput').addEventListener('input', (e) => {
      foregroundSpeed = parseFloat(e.target.value) || 1;
    });

    // Animation state
    let isPaused = false;
    let animationFrameId = null;

    // Pause/Resume button
    const pauseButton = document.getElementById('pauseButton');
    pauseButton.addEventListener('click', () => {
      isPaused = !isPaused;
      pauseButton.textContent = isPaused ? 'Resume' : 'Pause';

      if (!isPaused && !animationFrameId) {
        // Resume animation if it was paused
        animationFrameId = requestAnimationFrame(animate);
      }
    });

    // Toggle between video and image depth source
    const depthSourceRadios = document.querySelectorAll('input[name="depthSource"]');
    const videoInputContainer = document.getElementById('videoInputContainer');
    const imageInputContainer = document.getElementById('imageInputContainer');

    depthSourceRadios.forEach(radio => {
      radio.addEventListener('change', () => {
        if (radio.value === 'video') {
          videoInputContainer.style.display = 'block';
          imageInputContainer.style.display = 'none';
        } else {
          videoInputContainer.style.display = 'none';
          imageInputContainer.style.display = 'block';
        }
      });
    });

    // Update foregroundThreshold from slider
    const lowerThresholdInput = document.getElementById('lowerThresholdInput');
    const lowerThresholdValueDisplay = document.getElementById('lowerThresholdValue');
    const upperThresholdInput = document.getElementById('upperThresholdInput');
    const upperThresholdValueDisplay = document.getElementById('upperThresholdValue');
    const edgeThresholdInput = document.getElementById('edgeThresholdInput');
    const edgeThresholdValueDisplay = document.getElementById('edgeThresholdValue');

    let lowerThreshold = 128; // pixels with brightness >= lowerThreshold are considered foreground
    let upperThreshold = 255; // pixels with brightness <= upperThreshold are considered foreground
    let edgeThreshold = 30; // threshold for edge detection

    lowerThresholdInput.addEventListener('input', (e) => {
      lowerThreshold = parseInt(e.target.value);
      lowerThresholdValueDisplay.textContent = lowerThreshold;

      // Ensure lower threshold doesn't exceed upper threshold
      if (lowerThreshold > upperThreshold) {
        upperThreshold = lowerThreshold;
        upperThresholdInput.value = upperThreshold;
        upperThresholdValueDisplay.textContent = upperThreshold;
      }
    });

    upperThresholdInput.addEventListener('input', (e) => {
      upperThreshold = parseInt(e.target.value);
      upperThresholdValueDisplay.textContent = upperThreshold;

      // Ensure upper threshold isn't below lower threshold
      if (upperThreshold < lowerThreshold) {
        lowerThreshold = upperThreshold;
        lowerThresholdInput.value = lowerThreshold;
        lowerThresholdValueDisplay.textContent = lowerThreshold;
      }
    });

    edgeThresholdInput.addEventListener('input', (e) => {
      edgeThreshold = parseInt(e.target.value);
      edgeThresholdValueDisplay.textContent = edgeThreshold;
    });

    // Movement direction
    let movementDirection = 'vertical'; // Default to vertical movement
    document.getElementById('movementDirection').addEventListener('change', (e) => {
      movementDirection = e.target.value;
      // Regenerate noise field when direction changes to ensure seamless tiling
      generateNoiseField();
    });

    // === Generate a Static, Seamless Noise Field ===
    const noiseField = new Uint8ClampedArray(width * height);
    let speckleSize = parseInt(document.getElementById('speckleSizeInput').value) || 2; // size (in pixels) of each noise block
    let noiseDensity = parseInt(document.getElementById('noiseDensityInput').value) || 50; // percentage of white pixels

    // Event listeners for noise parameters
    document.getElementById('speckleSizeInput').addEventListener('change', () => {
      speckleSize = parseInt(document.getElementById('speckleSizeInput').value) || 2;
      generateNoiseField();
    });

    document.getElementById('noiseDensityInput').addEventListener('change', () => {
      noiseDensity = 100-parseInt(document.getElementById('noiseDensityInput').value) || 50;
      generateNoiseField();
    });

    function generateNoiseField() {
      // Fill the noise field in blocks.
      for (let y = 0; y < height; y += speckleSize) {
        for (let x = 0; x < width; x += speckleSize) {
          // Randomly choose black or white based on noise density.
          const value = (Math.random() * 100 < noiseDensity) ? 255 : 0;
          for (let dy = 0; dy < speckleSize && (y + dy) < height; dy++) {
            for (let dx = 0; dx < speckleSize && (x + dx) < width; dx++) {
              noiseField[(y + dy) * width + (x + dx)] = value;
            }
          }
        }
      }

      // Make the noise field seamlessly tile in the appropriate direction
      if (movementDirection === 'vertical') {
        // Copy the first 'speckleSize' rows to the very bottom rows.
        for (let y = 0; y < speckleSize; y++) {
          const destY = height - speckleSize + y;
          if (destY < height) {
            for (let x = 0; x < width; x++) {
              noiseField[destY * width + x] = noiseField[y * width + x];
            }
          }
        }
      } else { // horizontal
        // Copy the first 'speckleSize' columns to the very right columns.
        for (let x = 0; x < speckleSize; x++) {
          const destX = width - speckleSize + x;
          if (destX < width) {
            for (let y = 0; y < height; y++) {
              noiseField[y * width + destX] = noiseField[y * width + x];
            }
          }
        }
      }
    }
    generateNoiseField();

    // === Offscreen Canvas for Depth Video Frames ===
    const depthCanvas = document.createElement('canvas');
    depthCanvas.width = width;
    depthCanvas.height = height;
    const depthCtx = depthCanvas.getContext('2d');
    // Disable smoothing on the offscreen canvas as well.
    depthCtx.imageSmoothingEnabled = false;

    // Stores the current depth frame's pixel data.
    let depthData = null;
    const defaultDepthValue = 0;

    // Flag to track if we're using image or video for depth
    let usingDepthImage = false;
    let depthImage = new Image();

    // === Video Setup ===
    const depthVideo = document.getElementById('depthVideo');
    document.getElementById('depthVideoInput').addEventListener('change', (e) => {
      const file = e.target.files[0];
      if (!file) return;
      const url = URL.createObjectURL(file);
      depthVideo.src = url;
      depthVideo.play();
      usingDepthImage = false;

      // Select video radio button when video is uploaded
      document.querySelector('input[name="depthSource"][value="video"]').checked = true;
      videoInputContainer.style.display = 'block';
      imageInputContainer.style.display = 'none';
    });

    // === Depth Image Setup ===
    document.getElementById('depthImageInput').addEventListener('change', (e) => {
      const file = e.target.files[0];
      if (!file) return;
      const url = URL.createObjectURL(file);
      depthImage = new Image();
      depthImage.onload = () => {
        // Clear the canvas and draw the image
        depthCtx.clearRect(0, 0, width, height);
        depthCtx.drawImage(depthImage, 0, 0, width, height);

        // Get the pixel data immediately after drawing
        depthData = depthCtx.getImageData(0, 0, width, height).data;

        // Set the flag to use image instead of video
        usingDepthImage = true;

        // Force a redraw
        if (isPaused) {
          // If paused, just draw one frame
          const timestamp = performance.now();
          if (animationFrameId) {
            cancelAnimationFrame(animationFrameId);
            animationFrameId = null;
          }
          animate(timestamp);
        }

        console.log("Depth image loaded, dimensions:", depthImage.width, "x", depthImage.height);
      };
      depthImage.src = url;

      // Select image radio button when image is uploaded
      document.querySelector('input[name="depthSource"][value="image"]').checked = true;
      videoInputContainer.style.display = 'none';
      imageInputContainer.style.display = 'block';
    });

    // === Animation Loop ===
    // For each pixel, we check its depth value from the video.
    // If the pixel is foreground (brightness >= threshold), it moves uniformly.
    let startTime = null;
    function animate(timestamp) {
      if (isPaused) {
        animationFrameId = null;
        return;
      }

      animationFrameId = requestAnimationFrame(animate);

      if (!startTime) startTime = timestamp;
      const elapsedSeconds = (timestamp - startTime) / 1000;

      // Update the depth frame if available.
      if (!usingDepthImage && depthVideo.readyState >= 2) { // HAVE_CURRENT_DATA
        depthCtx.drawImage(depthVideo, 0, 0, width, height);
        depthData = depthCtx.getImageData(0, 0, width, height).data;
      }

      // Draw the noise field with the appropriate offset.
      const imageData = ctx.createImageData(width, height);
      const data = imageData.data;

      // Calculate the offset based on time and speed.
      // For vertical movement, we need the y-offset.
      // For horizontal movement, we need the x-offset.
      const pixelsPerSecond = foregroundSpeed;
      const totalOffset = pixelsPerSecond * elapsedSeconds;

      // Modulo by the canvas dimension to ensure we loop.
      const offset = movementDirection === 'vertical'
        ? Math.floor(totalOffset) % height
        : Math.floor(totalOffset) % width;

      for (let y = 0; y < height; y++) {
        for (let x = 0; x < width; x++) {
          // Get the depth value (0-255) for this pixel.
          // We only care about the red channel (index 0) since it's grayscale.
          const i = (y * width + x) * 4;

          // Default depth value if no depth data is available
          let depth = defaultDepthValue;

          // Use depth data if available
          if (depthData) {
            depth = depthData[i];

            // Check if this pixel is at an edge by comparing with neighboring pixels
            let isEdge = false;

            // Only check for edges if we have depth data and the pixel is within the foreground threshold
            if (depth >= lowerThreshold && depth <= upperThreshold) {
              // Check neighboring pixels (with bounds checking)
              const neighbors = [];

              // Add neighboring pixels' depth values to the array
              if (x > 0) neighbors.push(depthData[i - 4]); // left
              if (x < width - 1) neighbors.push(depthData[i + 4]); // right
              if (y > 0) neighbors.push(depthData[(y - 1) * width * 4 + x * 4]); // top
              if (y < height - 1) neighbors.push(depthData[(y + 1) * width * 4 + x * 4]); // bottom

              // Check if any neighbor has a significantly different depth value
              for (const neighborDepth of neighbors) {
                if (Math.abs(depth - neighborDepth) > edgeThreshold) {
                  isEdge = true;
                  break;
                }
              }
            }

            // If this pixel is at an edge, treat it as background
            if (isEdge) {
              depth = 0; // Force to background
            }
          }

          // Determine the offset based on direction.
          let offsetX = x;
          let offsetY = y;

          // Apply the offset only to foreground pixels.
          if (depth >= lowerThreshold && depth <= upperThreshold) {
            if (movementDirection === 'vertical') {
              offsetY = (y + offset) % height;
            } else {
              offsetX = (x + offset) % width;
            }
          }

          // Sample the noise field at the offset position.
          const sampleIndex = offsetY * width + offsetX;
          const noiseValue = noiseField[sampleIndex];

          // Write the noise value into the frame data.
          data[i + 0] = noiseValue;
          data[i + 1] = noiseValue;
          data[i + 2] = noiseValue;
          data[i + 3] = 255;
        }
      }

      ctx.putImageData(imageData, 0, 0);
    }

    // Start the animation
    animationFrameId = requestAnimationFrame(animate);

    // === Recording Functionality ===
    let isRecording = false;
    let mediaRecorder = null;
    let recordedChunks = [];
    const recordButton = document.getElementById('recordButton');
    const recordDurationInput = document.getElementById('recordDurationInput');

    recordButton.addEventListener('click', () => {
      if (isRecording) return; // Prevent re-triggering if already recording

      const durationSeconds = parseFloat(recordDurationInput.value) || 5;
      const durationMs = durationSeconds * 1000;

      // Capture the canvas stream (using 60 fps).
      const stream = canvas.captureStream(60);
      recordedChunks = [];
      const options = { mimeType: 'video/webm; codecs=vp9' };

      try {
        mediaRecorder = new MediaRecorder(stream, options);
      } catch (err) {
        // Fallback if VP9 is not supported.
        mediaRecorder = new MediaRecorder(stream);
      }

      mediaRecorder.ondataavailable = (e) => {
        if (e.data.size > 0) {
          recordedChunks.push(e.data);
        }
      };

      mediaRecorder.onstop = () => {
        const blob = new Blob(recordedChunks, { type: 'video/webm' });
        const url = URL.createObjectURL(blob);
        const a = document.createElement('a');
        a.href = url;
        a.download = 'recorded-video.webm';
        a.click();
        URL.revokeObjectURL(url);
      };

      mediaRecorder.start();
      isRecording = true;
      recordButton.textContent = 'Recording...';

      // Stop recording after the specified duration.
      setTimeout(() => {
        mediaRecorder.stop();
        isRecording = false;
        recordButton.textContent = 'Record Video';
      }, durationMs);
    });
  </script>
</body>
</html>