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|
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|
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|
|
"HTTP request sent, awaiting response... 200 OK\n",
|
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|
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|
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|
"\n",
|
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|
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"2020-10-09 08:02:04 (279 MB/s) - ‘Hema.JPG’ saved [12860/12860]\n",
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|
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"\n"
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],
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"name": "stdout"
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},
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{
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"output_type": "stream",
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"text": [
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"Downloading: \"https://www.adrianbulat.com/downloads/python-fan/2DFAN4-11f355bf06.pth.tar\" to /root/.cache/torch/hub/checkpoints/2DFAN4-11f355bf06.pth.tar\n"
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],
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"name": "stderr"
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},
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{
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"output_type": "display_data",
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "4b1403989c2a422ebc5efd0e9b78a5d6",
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"version_minor": 0,
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"version_major": 2
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},
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"text/plain": [
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"HBox(children=(FloatProgress(value=0.0, max=95641761.0), HTML(value='')))"
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]
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},
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"metadata": {
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"tags": []
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}
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},
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{
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"output_type": "stream",
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"text": [
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"\n"
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],
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"name": "stdout"
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}
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]
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},
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{
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"cell_type": "code",
|
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"metadata": {
|
|||
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|
"id": "qA17vm9lYU1b",
|
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"outputId": "44047c29-adce-4c09-e772-b31a8b4ec25c",
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"colab": {
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"base_uri": "https://localhost:8080/",
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"height": 35
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}
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},
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"source": [
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"input = read('Hema.JPG', 1)\n",
|
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"preds = fa.get_landmarks(input)[0]\n",
|
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"print(preds.shape)"
|
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],
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"execution_count": null,
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"outputs": [
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{
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"output_type": "stream",
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"text": [
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"(68, 3)\n"
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],
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"name": "stdout"
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}
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]
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},
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{
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"cell_type": "code",
|
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"metadata": {
|
|||
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|
"id": "NWdyl9XaYWfF",
|
|||
|
|
"outputId": "a841a4bc-d724-46b2-ddab-add9ecefbaa8",
|
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"colab": {
|
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"base_uri": "https://localhost:8080/",
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"height": 303
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}
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},
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"source": [
|
|||
|
|
"import matplotlib.pyplot as plt\n",
|
|||
|
|
"%matplotlib inline\n",
|
|||
|
|
"fig,ax = plt.subplots(figsize=(5,5))\n",
|
|||
|
|
"show(read('Hema.JPG',1), ax=ax)\n",
|
|||
|
|
"ax.scatter(preds[:,0], preds[:,1], marker='+', c='r')\n",
|
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|
|
"plt.show()"
|
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|
|
],
|
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"execution_count": null,
|
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"outputs": [
|
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|
{
|
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|
"output_type": "display_data",
|
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"data": {
|
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|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<Figure size 360x360 with 1 Axes>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {
|
|||
|
|
"tags": [],
|
|||
|
|
"needs_background": "light"
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"metadata": {
|
|||
|
|
"id": "gYllyWUEYX8R",
|
|||
|
|
"outputId": "323d322a-056f-4c10-bb98-1e47e7e712df",
|
|||
|
|
"colab": {
|
|||
|
|
"base_uri": "https://localhost:8080/",
|
|||
|
|
"height": 542
|
|||
|
|
}
|
|||
|
|
},
|
|||
|
|
"source": [
|
|||
|
|
"fa = face_alignment.FaceAlignment(face_alignment.LandmarksType._3D, flip_input=False, device='cpu')\n",
|
|||
|
|
"input = read('Hema.JPG', 1)\n",
|
|||
|
|
"preds = fa.get_landmarks(input)[0]\n",
|
|||
|
|
"import pandas as pd\n",
|
|||
|
|
"df = pd.DataFrame(preds)\n",
|
|||
|
|
"df.columns = ['x','y','z']\n",
|
|||
|
|
"import plotly.express as px\n",
|
|||
|
|
"fig = px.scatter_3d(df, x = 'x', y = 'y', z = 'z')\n",
|
|||
|
|
"fig.show()"
|
|||
|
|
],
|
|||
|
|
"execution_count": null,
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"output_type": "display_data",
|
|||
|
|
"data": {
|
|||
|
|
"text/html": [
|
|||
|
|
"<html>\n",
|
|||
|
|
"<head><meta charset=\"utf-8\" /></head>\n",
|
|||
|
|
"<body>\n",
|
|||
|
|
" <div>\n",
|
|||
|
|
" <script src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\"></script><script type=\"text/javascript\">if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script>\n",
|
|||
|
|
" <script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\n",
|
|||
|
|
" <script src=\"https://cdn.plot.ly/plotly-latest.min.js\"></script> \n",
|
|||
|
|
" <div id=\"322d56bd-296b-47cf-842b-dddbae622369\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>\n",
|
|||
|
|
" <script type=\"text/javascript\">\n",
|
|||
|
|
" \n",
|
|||
|
|
" window.PLOTLYENV=window.PLOTLYENV || {};\n",
|
|||
|
|
" \n",
|
|||
|
|
" if (document.getElementById(\"322d56bd-296b-47cf-842b-dddbae622369\")) {\n",
|
|||
|
|
" Plotly.newPlot(\n",
|
|||
|
|
" '322d56bd-296b-47cf-842b-dddbae622369',\n",
|
|||
|
|
" [{\"hoverlabel\": {\"namelength\": 0}, \"hovertemplate\": \"x=%{x}<br>y=%{y}<br>z=%{z}\", \"legendgroup\": \"\", \"marker\": {\"color\": \"#636efa\", \"symbol\": \"circle\"}, \"mode\": \"markers\", \"name\": \"\", \"scene\": \"scene\", \"showlegend\": false, \"type\": \"scatter3d\", \"x\": [27.0, 30.0, 31.0, 33.0, 35.0, 39.0, 42.0, 48.0, 57.0, 68.0, 76.0, 82.0, 87.0, 90.0, 92.0, 93.0, 93.0, 30.0, 32.0, 37.0, 41.0, 46.0, 62.0, 65.0, 71.0, 77.0, 82.0, 54.0, 54.0, 54.0, 54.0, 49.0, 52.0, 55.0, 59.0, 61.0, 35.0, 38.0, 42.0, 46.0, 42.0, 39.0, 64.0, 68.0, 71.0, 76.0, 72.0, 68.0, 46.0, 48.0, 53.0, 55.0, 57.0, 63.0, 68.0, 63.0, 60.0, 55.0, 52.0, 48.0, 46.0, 52.0, 55.0, 59.0, 67.0, 59.0, 55.0, 52.0], \"y\": [63.0, 71.0, 79.0, 86.0, 93.0, 98.0, 102.0, 104.0, 107.0, 103.0, 100.0, 96.0, 89.0, 82.0, 74.0, 66.0, 58.0, 54.0, 52.0, 51.0, 50.0, 51.0, 50.0, 48.0, 48.0, 48.0, 50.0, 59.0, 65.0, 71.0, 75.0, 78.0, 79.0, 79.0, 78.0, 78.0, 60.0, 59.0, 58.0, 59.0, 61.0, 61.0, 58.0, 56.0, 56.0, 57.0, 59.0, 59.0, 88.0, 86.0, 85.0, 85.0, 83.0, 86.0, 87.0, 90.0, 91.0, 93.0, 93.0, 90.0, 88.0, 88.0, 87.0, 87.0, 87.0, 88.0, 88.0, 88.0], \"z\": [-27.68233299255371, -28.37238311767578, -28.729385375976562, -27.933229446411133, -24.12045669555664, -16.820131301879883, -7.749030590057373, 0.9689182639122009, 5.48545503616333, 2.6860780715942383, -4.400628566741943, -12.421307563781738, -18.678613662719727, -21.614439010620117, -21.823501586914062, -21.041954040527344, -19.985063552856445, 3.8201372623443604, 9.531163215637207, 13.437037467956543, 15.872093200683594, 16.996686935424805, 19.374963760375977, 19.23256492614746, 17.92388916015625, 15.308772087097168, 10.421875, 17.0435848236084, 19.463165283203125, 22.750356674194336, 22.719547271728516, 13.829131126403809, 15.331435203552246, 16.305931091308594, 15.909503936767578, 14.878844261169434, 7.057541847229004, 10.965619087219238, 11.731825828552246, 10.690513610839844, 11.214056015014648, 9.811735153198242, 13.373595237731934, 15.314264297485352, 15.625443458557129, 12.25173568725586, 14.235583305358887, 14.656786918640137, 8.953569412231445, 13.679680824279785, 16.57196617126465, 17.15587615966797, 17.085573196411133, 14.777618408203125, 10.468396186828613, 13.696341514587402, 15.009588241577148, 14.991573333740234, 14.3329439163208, 12.554258346557617, 9.250266075134277, 14.560050010681152, 15.507245063781738, 15.07995891571045, 10.491459846496582, 15.02928352355957, 15.036974906921387, 14.468173027038574]}],\n",
|
|||
|
|
" {\"legend\": {\"tracegroupgap\": 0}, \"margin\": {\"t\": 60}, \"scene\": {\"domain\": {\"x\": [0.0, 1.0], \"y\": [0.0, 1.0]}, \"xaxis\": {\"title\": {\"text\": \"x\"}}, \"yaxis\": {\"title\": {\"text\": \"y\"}}, \"zaxis\": {\"title\": {\"text\": \"z\"}}}, \"template\": {\"data\": {\"bar\": [{\"error_x\": {\"color\": \"#2a3f5f\"}, \"error_y\": {\"color\": \"#2a3f5f\"}, \"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"bar\"}], \"barpolar\": [{\"marker\": {\"line\": {\"color\": \"#E5ECF6\", \"width\": 0.5}}, \"type\": \"barpolar\"}], \"carpet\": [{\"aaxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"baxis\": {\"endlinecolor\": \"#2a3f5f\", \"gridcolor\": \"white\", \"linecolor\": \"white\", \"minorgridcolor\": \"white\", \"startlinecolor\": \"#2a3f5f\"}, \"type\": \"carpet\"}], \"choropleth\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"choropleth\"}], \"contour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"contour\"}], \"contourcarpet\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"contourcarpet\"}], \"heatmap\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmap\"}], \"heatmapgl\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\
|
|||
|
|
" {\"responsive\": true}\n",
|
|||
|
|
" ).then(function(){\n",
|
|||
|
|
" \n",
|
|||
|
|
"var gd = document.getElementById('322d56bd-296b-47cf-842b-dddbae622369');\n",
|
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|
|
"var x = new MutationObserver(function (mutations, observer) {{\n",
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|
|
" var display = window.getComputedStyle(gd).display;\n",
|
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|
|
" if (!display || display === 'none') {{\n",
|
|||
|
|
" console.log([gd, 'removed!']);\n",
|
|||
|
|
" Plotly.purge(gd);\n",
|
|||
|
|
" observer.disconnect();\n",
|
|||
|
|
" }}\n",
|
|||
|
|
"}});\n",
|
|||
|
|
"\n",
|
|||
|
|
"// Listen for the removal of the full notebook cells\n",
|
|||
|
|
"var notebookContainer = gd.closest('#notebook-container');\n",
|
|||
|
|
"if (notebookContainer) {{\n",
|
|||
|
|
" x.observe(notebookContainer, {childList: true});\n",
|
|||
|
|
"}}\n",
|
|||
|
|
"\n",
|
|||
|
|
"// Listen for the clearing of the current output cell\n",
|
|||
|
|
"var outputEl = gd.closest('.output');\n",
|
|||
|
|
"if (outputEl) {{\n",
|
|||
|
|
" x.observe(outputEl, {childList: true});\n",
|
|||
|
|
"}}\n",
|
|||
|
|
"\n",
|
|||
|
|
" })\n",
|
|||
|
|
" };\n",
|
|||
|
|
" \n",
|
|||
|
|
" </script>\n",
|
|||
|
|
" </div>\n",
|
|||
|
|
"</body>\n",
|
|||
|
|
"</html>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {
|
|||
|
|
"tags": []
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"metadata": {
|
|||
|
|
"id": "Fycmc1rFYa8v"
|
|||
|
|
},
|
|||
|
|
"source": [
|
|||
|
|
""
|
|||
|
|
],
|
|||
|
|
"execution_count": null,
|
|||
|
|
"outputs": []
|
|||
|
|
}
|
|||
|
|
]
|
|||
|
|
}
|