chenxiaonan-tfjs-models
/
depth-estimation
/
demos
/
3d_photo
/
index.html

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<head>
  <meta charset="UTF-8">
  <title>Depth TensorFlow.js Demo</title>
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</head>

<body>
  <script src="https://cdnjs.cloudflare.com/ajax/libs/three.js/r128/three.min.js"></script>

  <script src="./shaders/vertex_shader.js"></script>
  <script src="./shaders/fragment_shader.js"></script>
  <script src="./shaders/vertex_shader_3d_photo.js"></script>
  <script src="./shaders/fragment_shader_3d_photo.js"></script>

  <div class="container">
    <div class="row">
      <div class="col-md-4" style="width: 30%; display: block; float:left;">
        <div id="title">3D Portrait</div>
        <br />
        <div id="description">Create a 3D Portrait with your own photo!
        </div>
        <br />
        <br />
        <br />
        <div id="example">Try with example images!</div>
        <button type="button" class="btn btn-warning" onclick="loadPreset(1);" autofocus>1</button>
        <button type="button" class="btn btn-warning" onclick="loadPreset(2);">2</button>
        <button type="button" class="btn btn-warning" onclick="loadPreset(3);">3</button>
        <button type="button" class="btn btn-warning" onclick="loadPreset(4);">4</button>
        <button type="button" class="btn btn-warning" onclick="loadPreset(5);">5</button>
        <br>
        <button type="button" class="btn btn-warning" onclick="loadPreset(6);">6</button>
        <button type="button" class="btn btn-warning" onclick="loadPreset(7);">7</button>
        <button type="button" class="btn btn-warning" onclick="loadPreset(8);">8</button>
        <button type="button" class="btn btn-warning" onclick="loadPreset(9);">9</button>
        <button type="button" class="btn btn-warning" onclick="loadPreset(10);">10</button>
        <br />
        <br />
        <br />
        <div id="example">Now with your images!</div>

        <div id="instruction">
          <br />
          1. Drag and drop or click to upload a portrait image.
          <br />
          2. You can crop the image after uploading.
          <br />
          3. Processing happens automatically once the image is uploaded.
          <br />
          4. Your 3D photo is ready to be downloaded (in GIF or WebM format) and used in various other applications.
          <br />
          <br />
          Note: The first processing will take longer for initialization (>3s), while subsequent predictions are faster
          (&lt;0.2s).
          <br />
          <br />
          Please refer to our <a
            href="https://github.com/tensorflow/tfjs-models/tree/master/depth-estimation">GitHub</a> Portrait
          Depth API repo for more details.
          <br />
          <br />
          For 3D portraits effects and more creative usage (e.g., depth-of-field, depth-scanning effects) of depth maps,
          you can checkout <a href="https://augmentedperception.github.io/depthlab/">DepthLab</a>.
        </div>
        <br />
      </div>
      <div class="col-md-8" style="width: 70%; display: block; float: right;" id="right-side">
        <br /><br /><br />
        <div class="row">
          <div class="col-6">
            <span id="perf"> </span>
          </div>
        </div>
        <br />
        <div class="row">
          <div class="col-3">
            <img id="im1" class="input-image" alt="" src="images/im0.jpg" />
          </div>
          <div class="col-3 desktop">
            <canvas id="masked" height="256" width="192"></canvas>
          </div>

          <div class="col-3 desktop">
            <div id="GL" style="width:calc(192px); height: 256px; background-color: #f00;"></div>

          </div>
          <div class="col-3">
            <div id="GL2" style="width:calc(192px); height: 256px; background-color: #f00;"></div>
          </div>
        </div>
        <div class="row">
          <div class="col-3 caption">
            ORIGINAL
          </div>
          <div class="col-3 caption desktop">
            SEGMENTED
          </div>
          <div class="col-3 caption desktop">
            DEPTH
          </div>
          <div class="col-3 caption">
            3D IMAGE!
          </div>
        </div>
        <br />
        <div class="row">
          <div class="col-3">
            <button type="button" class="btn btn-secondary" id="predict" onclick="predict();" disabled>Measure
              Latency</button>
          </div>
          <div class="col-6 text-center">
            <button type="button" class="btn btn-secondary" id="delete-upload" style="visibility:hidden;">Delete
              Upload</button>
          </div>
          <div class="dropdown col-3">
            <button class="btn btn-secondary dropdown-toggle" type="button" id="dropdownMenuButton"
              data-toggle="dropdown" aria-haspopup="true" aria-expanded="false">
              Download Animation
            </button>
            <div class="dropdown-menu" aria-labelledby="dropdownMenuButton">
              <a class="dropdown-item" id="download-anim-gif">GIF</a>
              <a class="dropdown-item" id="download-anim-webm">WebM</a>
            </div>
          </div>
        </div>
        <br />
        <form action="/url" class="dropzone" id="dropzone" height="600">
          <div class="dz-message" data-dz-message><span>Drag & drop or click to upload images</span></div>
        </form>
        <div class="result" id="uploaded-img"></div>
        <br />
      </div>
    </div>
    <canvas id="result" height="256" width="192" style="visibility: hidden;"></canvas>

    <canvas id="resize" height="256" width="192" style="visibility: hidden;"></canvas>

    <script src="./js/depth_scene.js"></script>
    <script src="./js/depth.js"></script>
    <script src="./js/globals.js"></script>
    <script type="module" src="./js/index.js"></script>
</body>

</html>