use dataset API
#1
by
iyangcheng
- opened
- .github/workflows/jekyll-docker.yml +0 -20
- README.md +4 -2
- index.html +201 -430
.github/workflows/jekyll-docker.yml
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name: Jekyll site CI
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on:
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push:
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branches: [ "main" ]
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pull_request:
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branches: [ "main" ]
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jobs:
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build:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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- name: Build the site in the jekyll/builder container
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run: |
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docker run \
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-v ${{ github.workspace }}:/srv/jekyll -v ${{ github.workspace }}/_site:/srv/jekyll/_site \
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jekyll/builder:latest /bin/bash -c "chmod -R 777 /srv/jekyll && jekyll build --future"
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README.md
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---
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title:
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emoji: 📉
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colorFrom: blue
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colorTo: pink
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sdk: static
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app_file: index.html
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pinned: false
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---
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---
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title: Test
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emoji: 📉
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colorFrom: blue
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colorTo: pink
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sdk: static
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app_file: index.html
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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index.html
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Motion Capture Visualization</title>
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<script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
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<script src="https://cdnjs.cloudflare.com/ajax/libs/PapaParse/5.3.0/papaparse.min.js"></script>
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<
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let csvFilePath = 'https://huggingface.co/datasets/cyberorigin/fold_towels/resolve/main/MoCap/mocap.csv';
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const body_part_names = [
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'Left Shoulder', 'Right Upper Arm', 'Left Lower Leg', 'Spine1', 'Right Upper Leg',
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'Spine3', 'Right Lower Arm', 'Left Foot', 'Right Lower Leg', 'Right Shoulder',
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'Left Hand', 'Left Upper Leg', 'Right Foot', 'Spine', 'Spine2', 'Left Lower Arm',
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'Left Toe', 'Neck', 'Right Hand', 'Right Toe', 'Head', 'Left Upper Arm', 'Hips'
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];
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const laptopVideo = document.getElementById('laptopVideo');
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const playPauseBtn = document.getElementById('playPauseBtn');
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const rewindBtn = document.getElementById('rewindBtn');
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const forwardBtn = document.getElementById('forwardBtn');
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const restartBtn = document.getElementById('restartBtn');
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const radioButtons = document.querySelectorAll('input[name="videoOption"]');
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const episodeContainer = document.getElementById('episodes-container');
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const episodesGrid = document.getElementById('episodes-grid');
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document.addEventListener('DOMContentLoaded', loadEpisodesCsv);
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function loadEpisodesCsv() {
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fetch("https://huggingface.co/datasets/cyberorigin/test/resolve/main/episodes.csv")
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.then(response => response.text())
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.then(data => {
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const lines = data.split('\n');
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processEpisodes(lines);
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})
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.catch(error => console.error('Error loading CSV file:', error));
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}
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function processEpisodes(lines) {
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episodesGrid.innerHTML = '';
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lines.forEach((line, index) => {
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if (line.trim() !== '' && index != 0) {
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const id = line.split(',')[0];
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const episodeNumber = index;
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const radioDiv = document.createElement('div');
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radioDiv.className = 'episode-radio';
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const radio = document.createElement('input');
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radio.type = 'radio';
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radio.id = `episode${episodeNumber}`;
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radio.name = 'episodeGroup';
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radio.addEventListener('change', () => updateVideoAndCSVSource(id));
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const label = document.createElement('label');
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label.htmlFor = `episode${episodeNumber}`;
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label.textContent = `Episode ${episodeNumber}`;
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radioDiv.appendChild(radio);
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radioDiv.appendChild(label);
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episodesGrid.appendChild(radioDiv);
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}
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});
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}
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let totalEpisodes = 100;
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// const container = document.getElementById('episodes-container')
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let animationFrameId;
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let isPlaying = false;
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function togglePlayPause() {
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if (!isPlaying) {
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laptopVideo.play();
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playPauseBtn.textContent = '⏸️';
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isPlaying = true;
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animate3DVisualization();
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} else {
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laptopVideo.pause();
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playPauseBtn.textContent = '▶️';
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isPlaying = false;
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cancelAnimationFrame(animationFrameId);
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}
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}
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function rewind() {
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laptopVideo.currentTime -= 5;
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update3DVisualization();
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}
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function forward() {
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laptopVideo.currentTime += 5;
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update3DVisualization();
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}
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function restart() {
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laptopVideo.currentTime = 0;
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update3DVisualization();
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}
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playPauseBtn.addEventListener('click', togglePlayPause);
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rewindBtn.addEventListener('click', rewind);
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forwardBtn.addEventListener('click', forward);
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restartBtn.addEventListener('click', restart);
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function getCoordinates(data, coordinate) {
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return body_part_names.map(part => parseFloat(data[`${part}_${coordinate}`]));
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}
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let frames;
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function processData(results) {
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console.log("Processing data:", results);
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const motion_capture_data = results.data.filter((_, index) => index % 3 === 0);
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frames = motion_capture_data.map((row, index) => ({
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name: index.toString(),
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data: [{
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x: getCoordinates(row, 'x'),
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y: getCoordinates(row, 'y'),
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z: getCoordinates(row, 'z'),
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mode: 'markers',
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type: 'scatter3d',
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marker: { size: 4.8, color: "blue" }
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}]
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}));
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if (frames.length === 0) {
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console.error("No frames were created from the data");
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return;
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}
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const initialFrame = frames[0].data[0]
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// Config canvas layout styles
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const layout = {
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title: {
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text: '3D Motion Capture',
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font: {
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color: 'white',
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size: 20
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},
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x: 0.5,
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y: 1.2
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},
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paper_bgcolor: 'black',
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plot_bgcolor: 'black',
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scene: {
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xaxis: {
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title: 'X',
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color: 'white',
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gridcolor: 'gray'
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},
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yaxis: {
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title: 'Y',
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color: 'white',
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gridcolor: 'gray'
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},
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zaxis: {
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title: 'Z',
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color: 'white',
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gridcolor: 'gray'
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},
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bgcolor: 'black'
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},
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font: {color: 'white'},
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margin: {
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l: 2,
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r: 2,
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b: 2,
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t: 50,
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pad: 4,
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},
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}
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Plotly.newPlot('plotDiv', [initialFrame], layout)
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}
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function update3DVisualization() {
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if (!frames) return
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const currentTime = laptopVideo.currentTime
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const totalDuration = laptopVideo.duration
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const frameIndex = Math.floor((currentTime / totalDuration) * frames.length)
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const frame = frames[Math.min(frameIndex, frames.length - 1)]
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Plotly.animate('plotDiv', frame, {
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transition: {duration: 0},
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frame: {duration: 0, redraw: true},
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})
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}
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function animate3DVisualization() {
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update3DVisualization()
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if (isPlaying) {
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animationFrameId = requestAnimationFrame(animate3DVisualization)
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}
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}
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//function updateVideoAndCSVSource() {
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//const selectedOption = document.querySelector('input[name="videoOption"]:checked').value;
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//const videoUrl = `https://huggingface.co/datasets/cyberorigin/${selectedOption}/resolve/main/Video/video.mp4`;
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//if (selectedOption != "twist_the_tube") {
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// csvFilePath = `https://huggingface.co/datasets/cyberorigin/${selectedOption}/resolve/main/MoCap/mocap.csv`;
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//}
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//else {
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// csvFilePath = `https://huggingface.co/datasets/cyberorigin/${selectedOption}/resolve/main/MoCap/MoCap.csv`;
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//}
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function updateVideoAndCSVSource(id) {
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const selectedOption = document.querySelector('input[name="episodeGroup"]:checked').value;
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const videoUrl = `https://huggingface.co/datasets/cyberorigin/pick_and_place/resolve/main/color/${id}.mp4`;
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csvFilePath = `https://huggingface.co/datasets/cyberorigin/pick_and_place/resolve/main/motion_capture/${id}.csv`;
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laptopVideo.pause();
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laptopVideo.querySelector('source').src = videoUrl;
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laptopVideo.load();
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isPlaying = false;
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playPauseBtn.textContent = '▶️';
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// Fetch and process the new CSV data
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fetchAndProcessActionCSV();
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}
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function fetchAndProcessActionCSV() {
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fetch(csvFilePath)
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.then(response => {
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if (!response.ok) {
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throw new Error(`HTTP error! status: ${response.status}`);
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}
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return response.text();
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})
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.then(csvString => {
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console.log("CSV data loaded successfully");
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Papa.parse(csvString, {
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header: true,
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dynamicTyping: true,
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complete: processData
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});
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})
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.catch(error => console.error('Error loading the CSV file:', error));
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}
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//radioButtons.forEach(radio => {
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// radio.addEventListener('change', updateVideoAndCSVSource);
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//});
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// Initial CSV fetch and processing
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fetchAndProcessActionCSV();
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</script>
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</body>
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-
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</html>
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Synchronized 3D Motion Capture Visualization with Video</title>
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<script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
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<script src="https://cdnjs.cloudflare.com/ajax/libs/PapaParse/5.3.0/papaparse.min.js"></script>
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<style>
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body {
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font-family: Arial, sans-serif;
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margin: 0;
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padding: 20px;
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display: flex;
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flex-direction: column;
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align-items: center;
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}
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#plotDiv {
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width: 100%;
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height: 600px;
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}
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.video-container {
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display: flex;
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justify-content: space-around;
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width: 100%;
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margin-bottom: 20px;
|
30 |
+
}
|
31 |
+
|
32 |
+
.video-wrapper {
|
33 |
+
width: 45%;
|
34 |
+
}
|
35 |
+
|
36 |
+
video {
|
37 |
+
width: 100%;
|
38 |
+
height: auto;
|
39 |
+
}
|
40 |
+
|
41 |
+
.controls {
|
42 |
+
display: flex;
|
43 |
+
justify-content: center;
|
44 |
+
margin-top: 10px;
|
45 |
+
}
|
46 |
+
|
47 |
+
button {
|
48 |
+
margin: 0 5px;
|
49 |
+
font-size: 20px;
|
50 |
+
}
|
51 |
+
</style>
|
52 |
+
</head>
|
53 |
+
|
54 |
+
<body>
|
55 |
+
<h1>Synchronized 3D Motion Capture Visualization with Video</h1>
|
56 |
+
|
57 |
+
<div class="video-container">
|
58 |
+
<div class="video-wrapper">
|
59 |
+
<video id="laptopVideo">
|
60 |
+
<source src="https://huggingface.co/datasets/cyberorigin/fold_towels/resolve/main/Video/video.mp4" type="video/mp4">
|
61 |
+
Your browser does not support the video tag.
|
62 |
+
</video>
|
63 |
+
</div>
|
64 |
+
</div>
|
65 |
+
|
66 |
+
<div class="controls">
|
67 |
+
<button id="playPauseBtn">▶️</button>
|
68 |
+
<button id="rewindBtn">⏪</button>
|
69 |
+
<button id="forwardBtn">⏩</button>
|
70 |
+
<button id="restartBtn">↩️</button>
|
71 |
+
</div>
|
72 |
+
|
73 |
+
<div id="plotDiv"></div>
|
74 |
+
|
75 |
+
<script>
|
76 |
+
const body_part_names = [
|
77 |
+
'Left Shoulder', 'Right Upper Arm', 'Left Lower Leg', 'Spine1', 'Right Upper Leg',
|
78 |
+
'Spine3', 'Right Lower Arm', 'Left Foot', 'Right Lower Leg', 'Right Shoulder',
|
79 |
+
'Left Hand', 'Left Upper Leg', 'Right Foot', 'Spine', 'Spine2', 'Left Lower Arm',
|
80 |
+
'Left Toe', 'Neck', 'Right Hand', 'Right Toe', 'Head', 'Left Upper Arm', 'Hips'
|
81 |
+
];
|
82 |
+
|
83 |
+
const laptopVideo = document.getElementById('laptopVideo');
|
84 |
+
const playPauseBtn = document.getElementById('playPauseBtn');
|
85 |
+
const rewindBtn = document.getElementById('rewindBtn');
|
86 |
+
const forwardBtn = document.getElementById('forwardBtn');
|
87 |
+
const restartBtn = document.getElementById('restartBtn');
|
88 |
+
|
89 |
+
let animationFrameId;
|
90 |
+
let isPlaying = false;
|
91 |
+
let frames;
|
92 |
+
|
93 |
+
function togglePlayPause() {
|
94 |
+
if (!isPlaying) {
|
95 |
+
laptopVideo.play();
|
96 |
+
playPauseBtn.textContent = '⏸️';
|
97 |
+
isPlaying = true;
|
98 |
+
animate3DVisualization();
|
99 |
+
} else {
|
100 |
+
laptopVideo.pause();
|
101 |
+
playPauseBtn.textContent = '▶️';
|
102 |
+
isPlaying = false;
|
103 |
+
cancelAnimationFrame(animationFrameId);
|
104 |
+
}
|
105 |
+
}
|
106 |
+
|
107 |
+
function rewind() {
|
108 |
+
laptopVideo.currentTime -= 5;
|
109 |
+
update3DVisualization();
|
110 |
+
}
|
111 |
+
|
112 |
+
function forward() {
|
113 |
+
laptopVideo.currentTime += 5;
|
114 |
+
update3DVisualization();
|
115 |
+
}
|
116 |
+
|
117 |
+
function restart() {
|
118 |
+
laptopVideo.currentTime = 0;
|
119 |
+
update3DVisualization();
|
120 |
+
}
|
121 |
+
|
122 |
+
playPauseBtn.addEventListener('click', togglePlayPause);
|
123 |
+
rewindBtn.addEventListener('click', rewind);
|
124 |
+
forwardBtn.addEventListener('click', forward);
|
125 |
+
restartBtn.addEventListener('click', restart);
|
126 |
+
|
127 |
+
function getCoordinates(data, coordinate) {
|
128 |
+
return body_part_names.map(part => parseFloat(data[`${part}_${coordinate}`]));
|
129 |
+
}
|
130 |
+
|
131 |
+
function processData(results) {
|
132 |
+
console.log("Processing data:", results);
|
133 |
+
|
134 |
+
const motion_capture_data = results.data.filter((_, index) => index % 3 === 0);
|
135 |
+
frames = motion_capture_data.map((row, index) => ({
|
136 |
+
name: index.toString(),
|
137 |
+
data: [{
|
138 |
+
x: getCoordinates(row, 'x'),
|
139 |
+
y: getCoordinates(row, 'y'),
|
140 |
+
z: getCoordinates(row, 'z'),
|
141 |
+
mode: 'markers',
|
142 |
+
type: 'scatter3d',
|
143 |
+
marker: { size: 5, color: 'blue' }
|
144 |
+
}]
|
145 |
+
}));
|
146 |
+
if (frames.length === 0) {
|
147 |
+
console.error("No frames were created from the data");
|
148 |
+
return;
|
149 |
+
}
|
150 |
+
const initialFrame = frames[0].data[0];
|
151 |
+
|
152 |
+
const layout = {
|
153 |
+
title: '3D Motion Capture',
|
154 |
+
scene: {
|
155 |
+
xaxis: { title: 'X' },
|
156 |
+
yaxis: { title: 'Y' },
|
157 |
+
zaxis: { title: 'Z' }
|
158 |
+
}
|
159 |
+
};
|
160 |
+
|
161 |
+
Plotly.newPlot('plotDiv', [initialFrame], layout);
|
162 |
+
}
|
163 |
+
|
164 |
+
function update3DVisualization() {
|
165 |
+
if (!frames) return;
|
166 |
+
const currentTime = laptopVideo.currentTime;
|
167 |
+
const totalDuration = laptopVideo.duration;
|
168 |
+
const frameIndex = Math.floor((currentTime / totalDuration) * frames.length);
|
169 |
+
const frame = frames[Math.min(frameIndex, frames.length - 1)];
|
170 |
+
Plotly.animate('plotDiv', frame, {
|
171 |
+
transition: { duration: 0 },
|
172 |
+
frame: { duration: 0, redraw: true }
|
173 |
+
});
|
174 |
+
}
|
175 |
+
|
176 |
+
function animate3DVisualization() {
|
177 |
+
update3DVisualization();
|
178 |
+
if (isPlaying) {
|
179 |
+
animationFrameId = requestAnimationFrame(animate3DVisualization);
|
180 |
+
}
|
181 |
+
}
|
182 |
+
|
183 |
+
async function loadDataset() {
|
184 |
+
const response = await fetch('https://huggingface.co/api/datasets/cyberorigin/fold_towels/resolve/main/MoCap/mocap.csv');
|
185 |
+
if (!response.ok) {
|
186 |
+
throw new Error(`HTTP error! status: ${response.status}`);
|
187 |
+
}
|
188 |
+
const csvString = await response.text();
|
189 |
+
console.log("CSV data loaded successfully");
|
190 |
+
Papa.parse(csvString, {
|
191 |
+
header: true,
|
192 |
+
dynamicTyping: true,
|
193 |
+
complete: processData
|
194 |
+
});
|
195 |
+
}
|
196 |
+
|
197 |
+
loadDataset().catch(error => console.error('Error loading the CSV file:', error));
|
198 |
+
</script>
|
199 |
+
</body>
|
200 |
+
|
201 |
+
</html>
|
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