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‎html/rps-tf/data-capture/python/model.ipynb

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"df.y.value_counts()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"Index(['index0x', 'index0y', 'index0z', 'index1x', 'index1y', 'index1z',\n",
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" 'index2x', 'index2y', 'index2z', 'index3x', 'index3y', 'index3z',\n",
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" 'middle0x', 'middle0y', 'middle0z', 'middle1x', 'middle1y', 'middle1z',\n",
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" 'middle2x', 'middle2y', 'middle2z', 'middle3x', 'middle3y', 'middle3z',\n",
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" 'ring0x', 'ring0y', 'ring0z', 'ring1x', 'ring1y', 'ring1z', 'ring2x',\n",
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" 'ring2y', 'ring2z', 'ring3x', 'ring3y', 'ring3z', 'pinky0x', 'pinky0y',\n",
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" 'pinky0z', 'pinky1x', 'pinky1y', 'pinky1z', 'pinky2x', 'pinky2y',\n",
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" 'pinky2z', 'pinky3x', 'pinky3y', 'pinky3z', 'thumb0x', 'thumb0y',\n",
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" 'thumb0z', 'thumb1x', 'thumb1y', 'thumb1z', 'thumb2x', 'thumb2y',\n",
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" 'thumb2z', 'thumb3x', 'thumb3y', 'thumb3z', 'palm0x', 'palm0y',\n",
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" 'palm0z', 'y'],\n",
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" dtype='object')"
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]
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},
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"execution_count": 12,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"df.columns"
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]
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},
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"cell_type": "markdown",
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"execution_count": 5,
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{
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"execution_count": 6,
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{
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"9 1.00000 1.000000 1.000000"
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]
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"execution_count": 6,
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"output_type": "execute_result"
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}
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},
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{
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"dtype: float64"
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"output_type": "execute_result"
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{
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"execution_count": 10,
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"execution_count": 11,
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‎html/rps-tf/index.html

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<!DOCTYPE html>
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<html>
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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,maximum-scale=1.0, user-scalable=no">
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<title>Display Webcam Stream</title>
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<style>
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#canvas-wrapper {
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position: relative;
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}
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#canvas-wrapper {
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display: inline-block;
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vertical-align: top;
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}
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</style>
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</head>
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<body>
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<div id="info" style='display:none'></div>
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<div id="predictions"></div>
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<div id="canvas-wrapper">
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<canvas id="output"></canvas>
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<video id="video" playsinline style="
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-webkit-transform: scaleX(-1);
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transform: scaleX(-1);
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visibility: hidden;
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width: auto;
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height: auto;
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position: absolute;
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">
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</video>
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</div>
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<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs"></script>
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<script src="https://cdn.jsdelivr.net/npm/@tensorflow-models/handpose"></script>
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<script src="./index.js"></script>
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</body>
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</html>

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