Version ready for live
This commit is contained in:
Ruben
parent
3b0e0eda16
commit
7379b2df12
35
README.md
35
README.md
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@ -1,13 +1,42 @@
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Start two processes:
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Start two processes:
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gphoto2 to capture images:
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gphoto2 to capture images every 2 sec:
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`gphoto2 --port usb: --capture-image-and-download -I 1 --filename=/home/crowd/output/frame%06n.jpg`
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`gphoto2 --port usb: --capture-image-and-download -I 2 --filename=/home/crowd/output/frame%06n.jpg`
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SET FPS IN parse_output.py
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If using Sony A7s/r, Ubuntu 14.04 has a too old version of gphoto2, so use vm-host with gphoto. Mount pictures dir to vbox:
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`sudo mount -t vboxsf pictures ~/pictures -o rw,uid=1000,gid=1000`
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The modified 'webcam demo' to analyse and generate json:
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The modified 'webcam demo' to analyse and generate json:
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`/home/crowd/build/opencv-webcam-demo/opencv-webcam-demo --data /home/crowd/affdex-sdk/data --faceMode 1 --numFaces 80 -o /home/crowd/output-backup/ --draw 0`
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`/home/crowd/build/opencv-webcam-demo/opencv-webcam-demo --data /home/crowd/affdex-sdk/data --faceMode 1 --numFaces 80 -o /home/crowd/output/segments/ --draw 0 --segments 1`
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When using `--segments 1` also run:
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`python split_and_merge_output.py --frameOutput ~/output --segmentDir ~/output/segments/`
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Using split_and_merge_output, frames are split into segments so SMALL_FACES actually detects _really_ small faces. This requires enabling --segments on opencv-webcam-demo (so it detects/writes segment%06d files)
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Using split_and_merge_output, frames are split into segments so SMALL_FACES actually detects _really_ small faces. This requires enabling --segments on opencv-webcam-demo (so it detects/writes segment%06d files)
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split_and_merge_output also remerges these segment%06.json files into a frame%06d.json file.
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split_and_merge_output also remerges these segment%06.json files into a frame%06d.json file.
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When done, generate output:
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`parse_output.py -o ~/output1 --json --window-size 1 > ~/sdk-samples/output/talk1.json`
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`parse_output.py -o ~/output2 --json --window-size 1 > ~/sdk-samples/output/talk2.json`
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`parse_output.py -o ~/output3 --json --window-size 1 > ~/sdk-samples/output/talk3.json`
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and audio, which expects wav to start simmmultaneously with frame00001:
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`python parse_output.py -o ~/pictures/1 --wav ~/pictures/1.wav --targetDir /home/crowd/sdk-samples/output/1 --window-size 1`
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`python parse_output.py -o ~/pictures/2 --wav ~/pictures/2.wav --targetDir /home/crowd/sdk-samples/output/2 --window-size 1`
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`python parse_output.py -o ~/pictures/3 --wav ~/pictures/3.wav --targetDir /home/crowd/sdk-samples/output/3 --window-size 1`
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Then start server:
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`cd ~/sdk-samples && php -S 0.0.0.0:8000`
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Navigate to: `http://192.168.178.33:8000/graphs.php` to view images
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@ -0,0 +1,404 @@
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<html>
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<head>
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<title>Results of analysis: The Black Box Concern</title>
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<script type="text/javascript" src="lodash.core.min.js"></script>
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<script type="text/javascript" src="plotly-1.31.2.min.js"></script>
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<script type="text/javascript">
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var d1 = <?php echo require "output/talk1.json" ?>;
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var d2 = <?php echo require "output/talk2.json" ?>;
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var d3 = <?php echo require "output/talk3.json" ?>;
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</script>
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<style type="text/css">
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body{
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font-family: sans-serif;
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width:calc(100% - 10em);
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margin-left:10%;
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margin-right:0;
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}
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#scroller{
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width:100%;
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overflow-x:auto;
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}
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#presentations{
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width:300%;
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}
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#presentations .presentation{
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width:33%;
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float:left;
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}
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#presentations .presentation div.plot{
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width:100%;
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height:10em;
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}
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#checkboxes{
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font-size: .8em;
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width: 10em;
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position:absolute;
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left:0;
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top:0;
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}
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label{
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display:block;
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}
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#checkboxes span{
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color: gray;
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}
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#checkboxes :checked + span{
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color: black;
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}
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#imgwrap{
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}
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#imgwrap img{
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width:90%;
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}
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h1{
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margin: .1em 0;
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text-transform:uppercase;
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height:.9em;
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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="checkboxes">
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</div>
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<div id="scroller">
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<div id='presentations'>
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<div class='presentation'>
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<h1>Orit Halpern</h1>
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<div class='stats' id='plot1-stats'></div>
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<div class='plot' id="plot1-div"></div>
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</div>
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<div class='presentation'>
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<h1>Penousal Machado</h1>
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<div class='stats' id='plot2-stats'></div>
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<div class='plot' id="plot2-div"></div>
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</div>
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<div class='presentation'>
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<h1>Nicolas Maigret</h1>
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<div class='stats' id='plot3-stats'></div>
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<div class='plot' id="plot3-div"></div>
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</div>
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</div>
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</div>
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<div id='imgwrap'>
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<img src="" id="hoverimg">
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</div>
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<script type='text/javascript'>
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facialParameters = [
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"smile",
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"innerBrowRaise",
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"browRaise",
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"browFurrow",
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"noseWrinkle",
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"upperLipRaise",
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"lipCornerDepressor",
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"chinRaise",
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"lipPucker",
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"lipPress",
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"lipSuck",
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"mouthOpen",
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"smirk",
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"eyeClosure",
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"eyeWiden",
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"cheekRaise",
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"lidTighten",
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"dimpler",
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"lipStretch",
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"jawDrop",
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]
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defaultFacialParameters = [
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"smile",
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"innerBrowRaise",
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"browRaise",
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"browFurrow",
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"noseWrinkle",
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//~ "upperLipRaise",
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//~ "lipCornerDepressor",
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"chinRaise",
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// "lipPucker",
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//~ "lipPress",
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//~ "lipSuck",
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//~ "mouthOpen",
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//"smirk",
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// "attention",
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//~ "eyeClosure",
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//~ "eyeWiden",
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"cheekRaise", //
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"lidTighten",
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//~ "dimpler", //
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//~ "lipStretch",
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//~ "jawDrop", //
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];
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function getCheckedParams(){
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params = [];
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for(var i in facialParameters){
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let param = facialParameters[i];
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if(document.getElementById("check_"+param).checked){
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params.push(param);
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}
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}
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return params;
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}
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var checkboxWrapperEl = document.getElementById("checkboxes");
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for(var i in facialParameters){
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let param = facialParameters[i];
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var labelEl = document.createElement('label');
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var checkboxEl = document.createElement('input');
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var spanEl = document.createElement('span');
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checkboxEl.type = "checkbox";
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checkboxEl.checked = defaultFacialParameters.indexOf(param) > -1;
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checkboxEl.id = "check_"+param;
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checkboxEl.addEventListener('change',function(a){drawGraphs();});
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labelEl.appendChild(checkboxEl);
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spanEl.innerHTML = param;
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labelEl.appendChild(spanEl);
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checkboxWrapperEl.appendChild(labelEl);
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}
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var imgEl = document.getElementById("hoverimg");
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var plot1Div = document.getElementById('plot1-div');
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var plot2Div = document.getElementById('plot2-div');
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var plot3Div = document.getElementById('plot3-div');
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function drawGraphs(){
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params = getCheckedParams();
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drawGraph("talk1", plot1Div, d1, params);
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drawGraph("talk2", plot2Div, d2, params);
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drawGraph("talk3", plot3Div, d3, params);
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}
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function drawGraph(id, targetEl, d, params) {
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var data = [
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/* {
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name: "Mean",
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x: d['windows'].map(function(w){return w['start'];}),
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y: d['windows'].map(function(w){return _.mean(_.filter(w['params'], function(v, param){return params.indexOf(param) > -1}));}),
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//~ error_y: {
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//~ type: 'data',
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//~ array: d['windows'].map(function(w){return w['stddev'];}),
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//~ visible: true
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//~ },
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type: 'scatter',
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line: {
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//~ color: 'rgb(55, 128, 191)',
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width: 5
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}
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}*/
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];
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var avgV = {};
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for(var i in params){
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param = params[i];
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paramValues = d['windows'].map(function(w){return w['params'][param];});
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data.push({
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name: param,
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x: d['windows'].map(function(w){return w['start'];}),
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y: paramValues,
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type: 'scatter',
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});
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avgV[param] = _.mean(paramValues);
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}
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var devFunction = function(w){
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let dev = 0;
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for(var i in params){
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let param = params[i];
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dev += Math.pow(avgV[param] - w['params'][param], 2);
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}
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return Math.sqrt(dev);
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};
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data.push({
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name: "Deviation",
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x: d['windows'].map(function(w){return w['start'];}),
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y: d['windows'].map(devFunction),
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//~ error_y: {
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//~ type: 'data',
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//~ array: d['windows'].map(function(w){return w['stddev'];}),
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//~ visible: true,
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//~ color: '#f00'
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//~ },
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type: 'scatter',
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line: {
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color: '#800080',
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width: 5
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}
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});
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valFun = function(w){return w['params']['smile'] - (w['params']["innerBrowRaise"]+ w['params']["browFurrow"]+ w['params']["noseWrinkle"]+ w['params']["upperLipRaise"]+ w['params']["lipCornerDepressor"]+ w['params']["chinRaise"]+ w['params']["lipPress"]+ w['params']["lipSuck"])/8;};
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var posWindow = _.maxBy(d['windows'], valFun);
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var negWindow = _.minBy(d['windows'], valFun);
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var devWindow = _.maxBy(d['windows'], devFunction);
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var avgWindow = _.minBy(d['windows'], devFunction);
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var diffWindow = _.maxBy(d['windows'], function(w){return w['stddev'];});
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var concensusWindow = _.minBy(d['windows'], function(w){return w['stddev'];});
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var annotations = [
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//~ {
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//~ x: posWindow['start'],
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//~ y: posWindow['params']['smile'],
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//~ xref: 'x',
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//~ yref: 'y',
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//~ text: 'Most positive moment',
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//~ font: {color: 'gray'},
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//~ showarrow: true,
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//~ arrowhead: 7,
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//~ ax: 0,
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//~ ay: -40
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//~ },
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//~ {
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//~ x: negWindow['start'],
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//~ y: _.max([negWindow['params']["innerBrowRaise"], negWindow['params']["browFurrow"], negWindow['params']["noseWrinkle"], negWindow['params']["upperLipRaise"], negWindow['params']["lipCornerDepressor"], negWindow['params']["chinRaise"], negWindow['params']["lipPress"], negWindow['params']["lipSuck"]]),
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//~ xref: 'x',
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//~ yref: 'y',
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//~ text: 'Most negative moment',
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//~ font: {color: 'gray'},
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//~ showarrow: true,
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//~ arrowhead: 7,
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//~ ax: 0,
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//~ ay: -40
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//~ },
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{
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x: devWindow['start'],
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y: devFunction(devWindow),
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xref: 'x',
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yref: 'y',
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text: 'Most deviant moment',
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font: {color: 'gray'},
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showarrow: true,
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arrowhead: 7,
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ax: 0,
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ay: -40
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},
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{
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x: avgWindow['start'],
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y: devFunction(avgWindow),
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xref: 'x',
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yref: 'y',
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text: 'Most average moment',
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font: {color: 'gray'},
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showarrow: true,
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arrowhead: 7,
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ax: 0,
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ay: -40
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},
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{
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x: avgWindow['start'],
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y: devFunction(avgWindow),
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xref: 'x',
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yref: 'y',
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text: 'Most average moment',
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font: {color: 'gray'},
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showarrow: true,
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arrowhead: 7,
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ax: 0,
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ay: -40
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},
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{
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x: diffWindow['start'],
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y: devFunction(diffWindow),
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xref: 'x',
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yref: 'y',
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text: 'Least concensus',
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font: {color: 'gray'},
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showarrow: true,
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arrowhead: 7,
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ax: 0,
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ay: -40
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},
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{
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x: concensusWindow['start'],
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y: devFunction(concensusWindow),
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xref: 'x',
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yref: 'y',
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text: 'Most concensus',
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font: {color: 'gray'},
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showarrow: true,
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arrowhead: 7,
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ax: 0,
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ay: -40
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}
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]
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||||||
|
|
||||||
|
var layout = {
|
||||||
|
//~ dragmode: 'zoom',
|
||||||
|
|
||||||
|
annotations: annotations,
|
||||||
|
|
||||||
|
//~ boxmode: 'group',
|
||||||
|
margin: {
|
||||||
|
r: 10,
|
||||||
|
t: 10,
|
||||||
|
b: 18,
|
||||||
|
l: 20
|
||||||
|
},
|
||||||
|
showlegend: false,
|
||||||
|
xaxis: {
|
||||||
|
autorange: true,
|
||||||
|
//~ domain: [0, 1],
|
||||||
|
//~ range: ['2017-01-03 12:00', '2017-02-15 12:00'],
|
||||||
|
//~ rangeslider: {range: ['2017-01-03 12:00', '2017-02-15 12:00']},
|
||||||
|
//~ title: 'Date',
|
||||||
|
type: 'date'
|
||||||
|
},
|
||||||
|
yaxis: {
|
||||||
|
autorange: true,
|
||||||
|
domain: [0, 1],
|
||||||
|
//~ range: [114.609999778, 137.410004222],
|
||||||
|
type: 'linear'
|
||||||
|
}
|
||||||
|
};
|
||||||
|
|
||||||
|
Plotly.newPlot(targetEl.id, data, layout,{displayModeBar: false});
|
||||||
|
|
||||||
|
//~ targetEl.on('plotly_click', function(data){
|
||||||
|
//~ console.log(data);
|
||||||
|
//~ var pts = '';
|
||||||
|
//~ for(var i=0; i < data.points.length; i++){
|
||||||
|
//~ pts = 'x = '+data.points[i].x +'\ny = '+
|
||||||
|
//~ data.points[i].y.toPrecision(4) + '\n\n';
|
||||||
|
//~ }
|
||||||
|
//~ alert('Closest point clicked:\n\n'+pts);
|
||||||
|
//~ });
|
||||||
|
|
||||||
|
targetEl.on('plotly_hover', function (data){
|
||||||
|
var points = data.points[0],
|
||||||
|
pointNum = points.pointNumber;
|
||||||
|
console.log(pointNum, d['windows'][pointNum]['startFrame'], data);
|
||||||
|
imgEl.src = "/images.php?i="+d['windows'][pointNum]['startFrame']+"¶ms="+params.join() + "&nr=" + d['outputNr'] ;
|
||||||
|
var audio = new Audio('output/'+d['outputNr']+'/'+d['windows'][pointNum]['startFrame']+'.wav');
|
||||||
|
audio.play();
|
||||||
|
//~ Plotly.Fx.hover('plot-div',[
|
||||||
|
//~ { curveNumber:0, pointNumber:pointNum },
|
||||||
|
//~ { curveNumber:1, pointNumber:pointNum },
|
||||||
|
//~ { curveNumber:2, pointNumber:pointNum },
|
||||||
|
//~ ]);
|
||||||
|
});
|
||||||
|
//~ plotDiv.on('plotly_hover', function (eventdata){
|
||||||
|
//~ console.log(data);
|
||||||
|
//~ });
|
||||||
|
}
|
||||||
|
|
||||||
|
drawGraphs();
|
||||||
|
</script>
|
||||||
|
</body>
|
||||||
|
</html>
|
||||||
|
|
@ -0,0 +1,116 @@
|
||||||
|
<?php
|
||||||
|
|
||||||
|
$basedir = "/home/crowd/pictures/";
|
||||||
|
|
||||||
|
$framename = basename($_GET['i']);
|
||||||
|
$outputnr = (int) $_GET['nr'];
|
||||||
|
$params = explode(',',$_GET['params']);
|
||||||
|
|
||||||
|
$availableParams = array("smile",
|
||||||
|
"innerBrowRaise",
|
||||||
|
"browRaise",
|
||||||
|
"browFurrow",
|
||||||
|
"noseWrinkle",
|
||||||
|
"upperLipRaise",
|
||||||
|
"lipCornerDepressor",
|
||||||
|
"chinRaise",
|
||||||
|
"lipPucker",
|
||||||
|
"lipPress",
|
||||||
|
"lipSuck",
|
||||||
|
"mouthOpen",
|
||||||
|
"smirk",
|
||||||
|
"eyeClosure",
|
||||||
|
"eyeWiden",
|
||||||
|
"cheekRaise",
|
||||||
|
"lidTighten",
|
||||||
|
"dimpler",
|
||||||
|
"lipStretch",
|
||||||
|
"jawDrop"
|
||||||
|
);
|
||||||
|
|
||||||
|
foreach($params as $param) {
|
||||||
|
if(!in_array($param, $availableParams)) {
|
||||||
|
throw new Exception("Invalid param" . $param);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
$framefile = $basedir ."/".$outputnr ."/".$framename.".jpg";
|
||||||
|
$framejson = $basedir ."/".$outputnr ."/".$framename.".json";
|
||||||
|
|
||||||
|
$im = imagecreatefromjpeg($framefile);
|
||||||
|
$json = json_decode(file_get_contents($framejson), true);
|
||||||
|
|
||||||
|
$colorFg = imagecolorallocate($im, 255,255,255);
|
||||||
|
|
||||||
|
$avg = [];
|
||||||
|
foreach($params as $param) {
|
||||||
|
$values = array_map(function($f) use($param){return $f[$param];}, $json['faces']);
|
||||||
|
$avg[$param] = array_sum($values) / count($values);
|
||||||
|
}
|
||||||
|
|
||||||
|
foreach($json['faces'] as &$face) {
|
||||||
|
$face['diff'] = 0;
|
||||||
|
foreach($params as $param) {
|
||||||
|
$face['diff'] += abs($avg[$param] - $face[$param]);
|
||||||
|
}
|
||||||
|
$face['diff'] = sqrt($face['diff']);
|
||||||
|
}
|
||||||
|
|
||||||
|
usort($json['faces'], function ($f1, $f2) {
|
||||||
|
if ($f1['diff'] == $f2['diff']) return 0;
|
||||||
|
return $f1['diff'] > $f2['diff'] ? -1 : 1;
|
||||||
|
});
|
||||||
|
|
||||||
|
$targetIm = imagecreatetruecolor(1920, 1080);
|
||||||
|
$white = imagecolorallocate($targetIm, 255, 255, 255);
|
||||||
|
imagefill($targetIm, 0, 0, $white);
|
||||||
|
|
||||||
|
$i = 0;
|
||||||
|
$faceDim = 120;
|
||||||
|
$faceMargin = 20;
|
||||||
|
$itemsPerRow = (int) 1080 / ($faceDim + $faceMargin);
|
||||||
|
$maxDiff = sqrt(count($params) * 100);
|
||||||
|
foreach($json['faces'] as $face) {
|
||||||
|
$posX = $i % $itemsPerRow;
|
||||||
|
$posY = (int) ($i / $itemsPerRow);
|
||||||
|
|
||||||
|
$destX = $posX * ($faceDim + $faceMargin);
|
||||||
|
$destY = $posY * ($faceDim + $faceMargin);
|
||||||
|
|
||||||
|
imagecopyresampled ( $targetIm , $im , $destX , $destY , (int) $face['rect']['x'] , (int) $face['rect']['y'] , $faceDim , $faceDim , (int) $face['rect']['w'], (int) $face['rect']['h']);
|
||||||
|
|
||||||
|
|
||||||
|
$score = ($face['diff'] / $maxDiff) * 255; // score on 0-100 -> 255 scale for color:
|
||||||
|
$colorBg = imagecolorallocate($im, (int) $score, (int) 255 - $score, 0);
|
||||||
|
imagettftext($targetIm, 12, 0, $destX, $destY + $faceDim + $faceMargin/1.2, $colorBg, "/usr/share/fonts/truetype/dejavu/DejaVuSansMono.ttf", round($face['diff'],2));
|
||||||
|
$i++;
|
||||||
|
}
|
||||||
|
|
||||||
|
$im = $targetIm;
|
||||||
|
|
||||||
|
/*
|
||||||
|
foreach($json['faces'] as $face) {
|
||||||
|
// Draw a rectangle in color representing score on params
|
||||||
|
imagecolorallocate($im, 200,200,200);
|
||||||
|
$total = 0;
|
||||||
|
foreach($params as $param) {
|
||||||
|
$total += $face[$param];
|
||||||
|
}
|
||||||
|
$score = ($total / count($params)) * 2.55; // score on 0-100 -> 255 scale for color:
|
||||||
|
|
||||||
|
$colorBg = imagecolorallocate($im, (int) 255 - $score, (int) $score, 0);
|
||||||
|
//~ var_dump($face['rect']);
|
||||||
|
//~ imagefilledrectangle($im, $face['rect']['x'], $face['rect']['y'], $face['rect']['x']+$face['rect']['width'], $face['rect']['y']+$face['rect']['height'], $colorBg);
|
||||||
|
$face['rect']['x2'] = round($face['rect']['x'] + $face['rect']['w']);
|
||||||
|
$face['rect']['y2'] = round($face['rect']['y'] + $face['rect']['h']);
|
||||||
|
$face['rect']['x'] = round($face['rect']['x']);
|
||||||
|
$face['rect']['y'] = round($face['rect']['y']);
|
||||||
|
imagefilledrectangle($im, $face['rect']['x'], $face['rect']['y'], $face['rect']['x2'], $face['rect']['y2'], $colorBg);
|
||||||
|
}
|
||||||
|
$im = imagescale($im, 1920, 1080);
|
||||||
|
*/
|
||||||
|
|
||||||
|
header("Content-Type: image/jpeg");
|
||||||
|
// Save the image
|
||||||
|
imagejpeg($im, NULL, 80);
|
||||||
|
//~ imagedestroy($im);
|
||||||
|
|
@ -0,0 +1,136 @@
|
||||||
|
/**
|
||||||
|
* @license
|
||||||
|
* Lodash lodash.com/license | Underscore.js 1.8.3 underscorejs.org/LICENSE
|
||||||
|
*/
|
||||||
|
;(function(){function n(n,t){return n.set(t[0],t[1]),n}function t(n,t){return n.add(t),n}function r(n,t,r){switch(r.length){case 0:return n.call(t);case 1:return n.call(t,r[0]);case 2:return n.call(t,r[0],r[1]);case 3:return n.call(t,r[0],r[1],r[2])}return n.apply(t,r)}function e(n,t,r,e){for(var u=-1,i=null==n?0:n.length;++u<i;){var o=n[u];t(e,o,r(o),n)}return e}function u(n,t){for(var r=-1,e=null==n?0:n.length;++r<e&&false!==t(n[r],r,n););return n}function i(n,t){for(var r=null==n?0:n.length;r--&&false!==t(n[r],r,n););
|
||||||
|
return n}function o(n,t){for(var r=-1,e=null==n?0:n.length;++r<e;)if(!t(n[r],r,n))return false;return true}function f(n,t){for(var r=-1,e=null==n?0:n.length,u=0,i=[];++r<e;){var o=n[r];t(o,r,n)&&(i[u++]=o)}return i}function c(n,t){return!(null==n||!n.length)&&-1<d(n,t,0)}function a(n,t,r){for(var e=-1,u=null==n?0:n.length;++e<u;)if(r(t,n[e]))return true;return false}function l(n,t){for(var r=-1,e=null==n?0:n.length,u=Array(e);++r<e;)u[r]=t(n[r],r,n);return u}function s(n,t){for(var r=-1,e=t.length,u=n.length;++r<e;)n[u+r]=t[r];
|
||||||
|
return n}function h(n,t,r,e){var u=-1,i=null==n?0:n.length;for(e&&i&&(r=n[++u]);++u<i;)r=t(r,n[u],u,n);return r}function p(n,t,r,e){var u=null==n?0:n.length;for(e&&u&&(r=n[--u]);u--;)r=t(r,n[u],u,n);return r}function _(n,t){for(var r=-1,e=null==n?0:n.length;++r<e;)if(t(n[r],r,n))return true;return false}function v(n,t,r){var e;return r(n,function(n,r,u){if(t(n,r,u))return e=r,false}),e}function g(n,t,r,e){var u=n.length;for(r+=e?1:-1;e?r--:++r<u;)if(t(n[r],r,n))return r;return-1}function d(n,t,r){if(t===t)n:{
|
||||||
|
--r;for(var e=n.length;++r<e;)if(n[r]===t){n=r;break n}n=-1}else n=g(n,b,r);return n}function y(n,t,r,e){--r;for(var u=n.length;++r<u;)if(e(n[r],t))return r;return-1}function b(n){return n!==n}function x(n,t){var r=null==n?0:n.length;return r?k(n,t)/r:P}function j(n){return function(t){return null==t?F:t[n]}}function w(n){return function(t){return null==n?F:n[t]}}function m(n,t,r,e,u){return u(n,function(n,u,i){r=e?(e=false,n):t(r,n,u,i)}),r}function A(n,t){var r=n.length;for(n.sort(t);r--;)n[r]=n[r].c;
|
||||||
|
return n}function k(n,t){for(var r,e=-1,u=n.length;++e<u;){var i=t(n[e]);i!==F&&(r=r===F?i:r+i)}return r}function E(n,t){for(var r=-1,e=Array(n);++r<n;)e[r]=t(r);return e}function O(n,t){return l(t,function(t){return[t,n[t]]})}function S(n){return function(t){return n(t)}}function I(n,t){return l(t,function(t){return n[t]})}function R(n,t){return n.has(t)}function z(n,t){for(var r=-1,e=n.length;++r<e&&-1<d(t,n[r],0););return r}function W(n,t){for(var r=n.length;r--&&-1<d(t,n[r],0););return r}function B(n){
|
||||||
|
return"\\"+Tn[n]}function L(n){var t=-1,r=Array(n.size);return n.forEach(function(n,e){r[++t]=[e,n]}),r}function U(n,t){return function(r){return n(t(r))}}function C(n,t){for(var r=-1,e=n.length,u=0,i=[];++r<e;){var o=n[r];o!==t&&"__lodash_placeholder__"!==o||(n[r]="__lodash_placeholder__",i[u++]=r)}return i}function D(n){var t=-1,r=Array(n.size);return n.forEach(function(n){r[++t]=n}),r}function M(n){var t=-1,r=Array(n.size);return n.forEach(function(n){r[++t]=[n,n]}),r}function T(n){if(Bn.test(n)){
|
||||||
|
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|
||||||
|
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|
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|
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|
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|
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|
||||||
|
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||||||
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|
||||||
|
Zu(On,function(){var n={};return Et(On,function(t,r){ci.call(On.prototype,r)||(n[r]=t)}),n}(),{chain:false}),On.VERSION="4.17.4",u("bind bindKey curry curryRight partial partialRight".split(" "),function(n){On[n].placeholder=On}),u(["drop","take"],function(n,t){Mn.prototype[n]=function(r){r=r===F?1:Di(Ou(r),0);var e=this.__filtered__&&!t?new Mn(this):this.clone();return e.__filtered__?e.__takeCount__=Mi(r,e.__takeCount__):e.__views__.push({size:Mi(r,4294967295),type:n+(0>e.__dir__?"Right":"")}),e},Mn.prototype[n+"Right"]=function(t){
|
||||||
|
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||||||
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|
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|
||||||
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|
||||||
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|
||||||
|
var n=this.__index__>=this.__values__.length;return{done:n,value:n?F:this.__values__[this.__index__++]}},On.prototype.plant=function(n){for(var t,r=this;r instanceof Sn;){var e=Pe(r);e.__index__=0,e.__values__=F,t?u.__wrapped__=e:t=e;var u=e,r=r.__wrapped__}return u.__wrapped__=n,t},On.prototype.reverse=function(){var n=this.__wrapped__;return n instanceof Mn?(this.__actions__.length&&(n=new Mn(this)),n=n.reverse(),n.__actions__.push({func:nu,args:[Je],thisArg:F}),new zn(n,this.__chain__)):this.thru(Je);
|
||||||
|
},On.prototype.toJSON=On.prototype.valueOf=On.prototype.value=function(){return kr(this.__wrapped__,this.__actions__)},On.prototype.first=On.prototype.head,Ai&&(On.prototype[Ai]=tu),On}();typeof define=="function"&&typeof define.amd=="object"&&define.amd?(Zn._=it, define(function(){return it})):Vn?((Vn.exports=it)._=it,qn._=it):Zn._=it}).call(this);
|
||||||
218
parse_output.py
218
parse_output.py
|
|
@ -5,11 +5,13 @@ import json
|
||||||
import time
|
import time
|
||||||
import glob
|
import glob
|
||||||
import numpy as np
|
import numpy as np
|
||||||
|
import datetime
|
||||||
import Tkinter
|
import Tkinter
|
||||||
|
import moviepy.editor as mpy
|
||||||
|
import sys
|
||||||
|
import wave
|
||||||
|
|
||||||
|
FPS = 1
|
||||||
|
|
||||||
facialParameters = [
|
facialParameters = [
|
||||||
"smile",
|
"smile",
|
||||||
|
|
@ -35,16 +37,44 @@ facialParameters = [
|
||||||
"jawDrop",
|
"jawDrop",
|
||||||
]
|
]
|
||||||
|
|
||||||
|
defaultFacialParameters = [
|
||||||
|
"smile",
|
||||||
|
"innerBrowRaise",
|
||||||
|
"browRaise",
|
||||||
|
"browFurrow",
|
||||||
|
"noseWrinkle",
|
||||||
|
"upperLipRaise",
|
||||||
|
"lipCornerDepressor",
|
||||||
|
"chinRaise",
|
||||||
|
#~ "lipPucker",
|
||||||
|
"lipPress",
|
||||||
|
"lipSuck",
|
||||||
|
"mouthOpen",
|
||||||
|
#~ "smirk",
|
||||||
|
#~ "attention",
|
||||||
|
"eyeClosure",
|
||||||
|
"eyeWiden",
|
||||||
|
"cheekRaise", #
|
||||||
|
"lidTighten",
|
||||||
|
"dimpler", #
|
||||||
|
"lipStretch",
|
||||||
|
"jawDrop", #
|
||||||
|
]
|
||||||
|
|
||||||
parser = argparse.ArgumentParser(description='Parses opencv-webcam-demo json output files and collects statistics')
|
parser = argparse.ArgumentParser(description='Parses opencv-webcam-demo json output files and collects statistics')
|
||||||
parser.add_argument('--frameOutput', '-o', required=True, help='directory to look for frames & json')
|
parser.add_argument('--frameOutput', '-o', required=True, help='directory to look for frames & json')
|
||||||
|
parser.add_argument('--targetDir', help='Directory in which files are stored')
|
||||||
parser.add_argument('--status', action='store_true', help='Keep status of last frame')
|
parser.add_argument('--status', action='store_true', help='Keep status of last frame')
|
||||||
|
parser.add_argument('--stats', action='store_true', help='Show statistics for all frames')
|
||||||
parser.add_argument('--cutAllFaces', action='store_true', help='Cut out all faces from all frames')
|
parser.add_argument('--cutAllFaces', action='store_true', help='Cut out all faces from all frames')
|
||||||
parser.add_argument('--sum', action='store_true', help='Get total scores over all time')
|
parser.add_argument('--sum', action='store_true', help='Get total scores over all time')
|
||||||
parser.add_argument('--unique', action='store_true', help='Get most unique window')
|
parser.add_argument('--unique', action='store_true', help='Get most unique window')
|
||||||
parser.add_argument('--avg', action='store_true', help='Get most average window')
|
parser.add_argument('--avg', action='store_true', help='Get most average window')
|
||||||
|
parser.add_argument('--json', action='store_true', help='Get output as JSON for graphs (graphs.php)')
|
||||||
|
parser.add_argument('--wav', '-w', required=False, default=False, help='split wave file into windows')
|
||||||
parser.add_argument('--disonant', action='store_true', help='Get most disonant faces over time')
|
parser.add_argument('--disonant', action='store_true', help='Get most disonant faces over time')
|
||||||
parser.add_argument('--window-size', '-s', type=int, default=10, help='The nr of frames to group in one sliding window for analysis')
|
parser.add_argument('--window-size', '-s', type=int, default=10, help='The nr of frames to group in one sliding window for analysis')
|
||||||
parser.add_argument("--params", "-p", type=str, nargs='+', default=facialParameters, choices=facialParameters, help="The parameters used to calculate the statistics")
|
parser.add_argument("--params", "--metrics", "-p", type=str, nargs='+', default=defaultFacialParameters, choices=facialParameters, help="The parameters used to calculate the statistics")
|
||||||
|
|
||||||
args = parser.parse_args()
|
args = parser.parse_args()
|
||||||
|
|
||||||
|
|
@ -81,7 +111,13 @@ class Frame:
|
||||||
self.faces = None # init with getFaces
|
self.faces = None # init with getFaces
|
||||||
|
|
||||||
def getTime(self):
|
def getTime(self):
|
||||||
return os.path.getmtime(self.imgPath)
|
"""
|
||||||
|
@return datetime
|
||||||
|
"""
|
||||||
|
with Image.open(self.imgPath) as i:
|
||||||
|
#~ print(i._getexif()[36867])
|
||||||
|
return datetime.datetime.strptime(i._getexif()[36867], "%Y:%m:%d %H:%M:%S")
|
||||||
|
#~ return datetime.datetime.fromtimestamp(os.path.getmtime(self.imgPath))
|
||||||
|
|
||||||
def getJson(self):
|
def getJson(self):
|
||||||
#~ try:
|
#~ try:
|
||||||
|
|
@ -91,7 +127,7 @@ class Frame:
|
||||||
#~ # no json file yet?
|
#~ # no json file yet?
|
||||||
#~ return None
|
#~ return None
|
||||||
|
|
||||||
def getImg(self, markFaces = True):
|
def getImg(self, markFaces = False):
|
||||||
img = Image.open(self.imgPath)
|
img = Image.open(self.imgPath)
|
||||||
if not markFaces:
|
if not markFaces:
|
||||||
return img
|
return img
|
||||||
|
|
@ -132,6 +168,13 @@ class Frame:
|
||||||
vAvg = np.mean(vectors, axis=0)
|
vAvg = np.mean(vectors, axis=0)
|
||||||
return vAvg
|
return vAvg
|
||||||
|
|
||||||
|
def getStdDev(self, params):
|
||||||
|
"""
|
||||||
|
Get standard deviation of the faces within the frame for given params
|
||||||
|
"""
|
||||||
|
vectors = [f.getCharacteristicVector(params) for f in self.getFaces()]
|
||||||
|
return np.std(vectors)
|
||||||
|
|
||||||
def updateAnomalyScores(self, params):
|
def updateAnomalyScores(self, params):
|
||||||
vAvg = self.getAverageV(params)
|
vAvg = self.getAverageV(params)
|
||||||
for face in self.getFaces():
|
for face in self.getFaces():
|
||||||
|
|
@ -151,6 +194,14 @@ class Window:
|
||||||
self.frames = frameSubset
|
self.frames = frameSubset
|
||||||
self.deviation = None
|
self.deviation = None
|
||||||
self.standardDeviation = None
|
self.standardDeviation = None
|
||||||
|
|
||||||
|
def getStartTime(self):
|
||||||
|
"""get time of first frame in window. Returns datetime"""
|
||||||
|
return self.frames[0].getTime()
|
||||||
|
|
||||||
|
def getEndTime(self):
|
||||||
|
"""get time of last frame in window. Returns datetime"""
|
||||||
|
return self.frames[-1].getTime()
|
||||||
|
|
||||||
def getFaces(self):
|
def getFaces(self):
|
||||||
faces = []
|
faces = []
|
||||||
|
|
@ -178,12 +229,14 @@ class Window:
|
||||||
frames = sorted(frames.items(), key=lambda f: f[0])
|
frames = sorted(frames.items(), key=lambda f: f[0])
|
||||||
frames = [f[1] for f in frames]
|
frames = [f[1] for f in frames]
|
||||||
windows = []
|
windows = []
|
||||||
windowCount = len(frames) - windowSize + 1
|
windowCount = len(frames) / windowSize
|
||||||
|
#~ windowCount = len(frames) - windowSize + 1
|
||||||
if windowCount < 1:
|
if windowCount < 1:
|
||||||
raise Exception("Not enough frames ({}) for a window of size {}".format(len(frames), windowSize))
|
raise Exception("Not enough frames ({}) for a window of size {}".format(len(frames), windowSize))
|
||||||
|
|
||||||
for offset in range(0, windowCount):
|
for offset in range(0, windowCount):
|
||||||
frameSubset = frames[offset:offset+windowSize]
|
frameSubset = frames[offset*windowSize:(offset+1)*windowSize]
|
||||||
|
#~ frameSubset = frames[offset:offset+windowSize]
|
||||||
windows.append(Window(frameSubset))
|
windows.append(Window(frameSubset))
|
||||||
|
|
||||||
return windows
|
return windows
|
||||||
|
|
@ -211,6 +264,11 @@ class WindowCollection:
|
||||||
#~ max_index, max_value = max(enumerate(diffs), key=lambda p: p[1])
|
#~ max_index, max_value = max(enumerate(diffs), key=lambda p: p[1])
|
||||||
|
|
||||||
return sorted(self.windows, key=lambda w: np.linalg.norm(w.getAverageV(params)-vAvg))
|
return sorted(self.windows, key=lambda w: np.linalg.norm(w.getAverageV(params)-vAvg))
|
||||||
|
|
||||||
|
def getDeviationForWindow(self, window, params):
|
||||||
|
vectors = self.getWindowVectors(params)
|
||||||
|
vAvg = np.mean(vectors, axis=0)
|
||||||
|
return np.linalg.norm(w.getAverageV(params)-vAvg)
|
||||||
|
|
||||||
def getUniqueWindows(self, params, nr=5):
|
def getUniqueWindows(self, params, nr=5):
|
||||||
windows = self.getWindowsByDeviation(params)
|
windows = self.getWindowsByDeviation(params)
|
||||||
|
|
@ -260,7 +318,7 @@ def validateJsonTimes():
|
||||||
thisTime = frame.getJson()['t']
|
thisTime = frame.getJson()['t']
|
||||||
#print(frameNr, thisTime)
|
#print(frameNr, thisTime)
|
||||||
if not (lastTime is None) and lastTime > thisTime:
|
if not (lastTime is None) and lastTime > thisTime:
|
||||||
print "ERRROR!! Time error at %s. Restarted scanner there?" % frameNr
|
sys.stderr.write("ERRROR!! Time error at %s. Restarted scanner there?\n" % frameNr)
|
||||||
lastTime = thisTime
|
lastTime = thisTime
|
||||||
|
|
||||||
def sumEmotions():
|
def sumEmotions():
|
||||||
|
|
@ -335,7 +393,17 @@ def monitorStatus(frameDir, params):
|
||||||
# don't check too often
|
# don't check too often
|
||||||
time.sleep(.5)
|
time.sleep(.5)
|
||||||
|
|
||||||
def playWindowStopmotion(window):
|
def printStats(frameDir, params):
|
||||||
|
frames = loadFrames(frameDir)
|
||||||
|
vAvg = np.mean([f.getAverageV(params) for i,f in frames.items()], axis=0)
|
||||||
|
for nr, frame in frames.items():
|
||||||
|
max_index, max_value = max(enumerate(frame.getAverageV(params)), key=lambda a: a[1])
|
||||||
|
distance = np.linalg.norm(vAvg - frame.getAverageV(params))
|
||||||
|
print("{:06d}: {: >4} faces (d: {: 6.2f}, internal s {: 6.2f}, max: {})".format(frame.nr, len(frame.getFaces()),distance, frame.getStdDev(params), params[max_index]))
|
||||||
|
|
||||||
|
print("{} frames".format(len(frames)))
|
||||||
|
|
||||||
|
def playWindowStopmotion(window, params):
|
||||||
"""
|
"""
|
||||||
Play a set of sliding window frames as stop motion video
|
Play a set of sliding window frames as stop motion video
|
||||||
"""
|
"""
|
||||||
|
|
@ -346,7 +414,7 @@ def playWindowStopmotion(window):
|
||||||
|
|
||||||
old_label_image = None
|
old_label_image = None
|
||||||
for frame in window.frames:
|
for frame in window.frames:
|
||||||
image = frame.getImg()
|
image = frame.getImg(markFaces=True)
|
||||||
basewidth = 1000
|
basewidth = 1000
|
||||||
wpercent = (basewidth / float(image.size[0]))
|
wpercent = (basewidth / float(image.size[0]))
|
||||||
hsize = int((float(image.size[1]) * float(wpercent)))
|
hsize = int((float(image.size[1]) * float(wpercent)))
|
||||||
|
|
@ -358,6 +426,112 @@ def playWindowStopmotion(window):
|
||||||
root.update()
|
root.update()
|
||||||
time.sleep(1)
|
time.sleep(1)
|
||||||
|
|
||||||
|
def createWindowVideo(window, params, targetDir):
|
||||||
|
global FPS
|
||||||
|
basewidth = 1920
|
||||||
|
i=0
|
||||||
|
images = []
|
||||||
|
for frame in window.frames:
|
||||||
|
image = frame.getImg(markFaces=True)
|
||||||
|
wpercent = (basewidth / float(image.size[0]))
|
||||||
|
hsize = int((float(image.size[1]) * float(wpercent)))
|
||||||
|
image = image.resize((basewidth, hsize), Image.ANTIALIAS)
|
||||||
|
imgName = os.path.join("/tmp/","renderframe{:06d}.jpg".format(i))
|
||||||
|
print("(VIDEO) Create frame: {}".format(imgName))
|
||||||
|
image.save(imgName)
|
||||||
|
images.append(imgName)
|
||||||
|
i+=1
|
||||||
|
|
||||||
|
clip = mpy.ImageSequenceClip(images, fps=FPS)
|
||||||
|
#~ audio = mpy.AudioFileClip(filename="")
|
||||||
|
#~ audio.set_start(...)
|
||||||
|
#~ audio.set_duration(len(images)/FPS)
|
||||||
|
#~ clip = clip.set_audio(audio)
|
||||||
|
|
||||||
|
targetName = "video_" + "-".join(params) + ".mp4"
|
||||||
|
print("(VIDEO) Write video: {}".format(targetName))
|
||||||
|
clip.write_videofile(os.path.join(targetDir,targetName), fps=FPS)
|
||||||
|
|
||||||
|
def getGraphData(frames, params, window_size, outputNr):
|
||||||
|
"""
|
||||||
|
Get data to generate graph with
|
||||||
|
"""
|
||||||
|
collection = WindowCollection(window_size, frames)
|
||||||
|
windows = collection.windows
|
||||||
|
jsonOutput = {'windows':[], 'outputNr': outputNr}
|
||||||
|
for window in windows:
|
||||||
|
w = {
|
||||||
|
'start': window.getStartTime().strftime('%Y-%m-%d %H:%M:%S'),
|
||||||
|
'end': window.getEndTime().strftime('%Y-%m-%d %H:%M:%S'),
|
||||||
|
'startFrame': window.frames[0].name,
|
||||||
|
'params': {},
|
||||||
|
'param_values': {},
|
||||||
|
}
|
||||||
|
|
||||||
|
pVs = []
|
||||||
|
for param in params:
|
||||||
|
paramV = window.getAverageV([param])
|
||||||
|
value = paramV[0]
|
||||||
|
pVs.append(value)
|
||||||
|
w['params'][param] = value
|
||||||
|
#~ values = []
|
||||||
|
#~ for frame in window.frames:
|
||||||
|
#~ for face in frame.getFaces():
|
||||||
|
#~ values.append(face.data[param])
|
||||||
|
#~ w['param_values'][param] = values
|
||||||
|
|
||||||
|
w['avg'] = np.mean(pVs)
|
||||||
|
w['stddev'] = window.getStdDev(params)
|
||||||
|
jsonOutput['windows'].append(w)
|
||||||
|
|
||||||
|
jsonOutput['range'] = [
|
||||||
|
jsonOutput['windows'][0]['start'],
|
||||||
|
jsonOutput['windows'][-1]['end'],
|
||||||
|
]
|
||||||
|
return jsonOutput
|
||||||
|
|
||||||
|
|
||||||
|
def splitAudio(frames, window_size, srcWav, targetDir):
|
||||||
|
"""
|
||||||
|
Get audio cllips
|
||||||
|
"""
|
||||||
|
global FPS
|
||||||
|
if not os.path.exists(srcWav):
|
||||||
|
raise Exception("Wav does not exist")
|
||||||
|
if not os.path.exists(targetDir):
|
||||||
|
raise Exception("Target dir does not exist")
|
||||||
|
|
||||||
|
collection = WindowCollection(window_size, frames)
|
||||||
|
origAudio = wave.open(srcWav,'r')
|
||||||
|
|
||||||
|
frameRate = origAudio.getframerate()
|
||||||
|
nChannels = origAudio.getnchannels()
|
||||||
|
sampWidth = origAudio.getsampwidth()
|
||||||
|
|
||||||
|
windows = collection.windows
|
||||||
|
for i, window in enumerate(windows):
|
||||||
|
print("Window {}, {}".format(i, window.frames[0].name))
|
||||||
|
start = i * window_size * FPS
|
||||||
|
end = i+1 * window_size * FPS
|
||||||
|
origAudio.setpos(start*frameRate)
|
||||||
|
print(origAudio.tell())
|
||||||
|
chunkData = origAudio.readframes(int((end-start)*frameRate))
|
||||||
|
print(origAudio.tell())
|
||||||
|
targetFile = os.path.join(targetDir, window.frames[0].name + '.wav')
|
||||||
|
print("\t{}".format(targetFile))
|
||||||
|
chunkAudio = wave.open(targetFile,'w')
|
||||||
|
chunkAudio.setnchannels(nChannels)
|
||||||
|
chunkAudio.setsampwidth(sampWidth)
|
||||||
|
chunkAudio.setframerate(frameRate)
|
||||||
|
chunkAudio.writeframes(chunkData)
|
||||||
|
chunkAudio.close()
|
||||||
|
|
||||||
|
#~ def createGraphPage(windows, params, targetFilename):
|
||||||
|
#~ jsonOutput = {'windows':[]}
|
||||||
|
#~ for window in windows:
|
||||||
|
#~ window
|
||||||
|
|
||||||
|
|
||||||
validateJsonTimes()
|
validateJsonTimes()
|
||||||
|
|
||||||
if args.sum:
|
if args.sum:
|
||||||
|
|
@ -378,13 +552,29 @@ if args.unique:
|
||||||
collection = WindowCollection(args.window_size, frames)
|
collection = WindowCollection(args.window_size, frames)
|
||||||
windows = collection.getUniqueWindows(args.params)
|
windows = collection.getUniqueWindows(args.params)
|
||||||
#~ print(windows)
|
#~ print(windows)
|
||||||
playWindowStopmotion(windows[0])
|
if args.targetDir:
|
||||||
|
createWindowVideo(windows[0], args.params, args.targetDir)
|
||||||
|
else:
|
||||||
|
playWindowStopmotion(windows[0], args.params)
|
||||||
|
|
||||||
if args.avg:
|
if args.avg:
|
||||||
collection = WindowCollection(args.window_size, frames)
|
collection = WindowCollection(args.window_size, frames)
|
||||||
windows = collection.getMostAvgWindows(args.params)
|
windows = collection.getMostAvgWindows(args.params)
|
||||||
#~ print(windows)
|
#~ print(windows)
|
||||||
playWindowStopmotion(windows[0])
|
if args.targetDir:
|
||||||
|
createWindowVideo(windows[0], args.params, args.targetDir)
|
||||||
|
else:
|
||||||
|
playWindowStopmotion(windows[0], args.params)
|
||||||
|
|
||||||
if args.status:
|
if args.status:
|
||||||
monitorStatus(args.frameOutput, args.params)
|
monitorStatus(args.frameOutput, args.params)
|
||||||
|
|
||||||
|
if args.stats:
|
||||||
|
printStats(args.frameOutput, args.params)
|
||||||
|
|
||||||
|
if args.json:
|
||||||
|
nr = int(args.frameOutput[-1])
|
||||||
|
print json.dumps(getGraphData(frames, args.params, args.window_size, nr))
|
||||||
|
|
||||||
|
if args.wav:
|
||||||
|
print splitAudio(frames, args.window_size, args.wav, args.targetDir)
|
||||||
|
|
|
||||||
File diff suppressed because one or more lines are too long
|
|
@ -61,9 +61,11 @@ while True:
|
||||||
|
|
||||||
faces = []
|
faces = []
|
||||||
times = []
|
times = []
|
||||||
|
segmentImages = []
|
||||||
|
|
||||||
for i, segment in enumerate(segments):
|
for i, segment in enumerate(segments):
|
||||||
segmentNr = nextOutNr - segmentCount + i + 1 # nextOutNr: 4 => 1,2,3,4
|
segmentNr = nextOutNr - segmentCount + i + 1 # nextOutNr: 4 => 1,2,3,4
|
||||||
|
segmentImages.append(os.path.join(args.segmentDir, "segment%06d.jpg" % segmentNr))
|
||||||
with open( os.path.join(args.segmentDir, "segment%06d.json" % segmentNr) ) as fp:
|
with open( os.path.join(args.segmentDir, "segment%06d.json" % segmentNr) ) as fp:
|
||||||
j = json.load(fp)
|
j = json.load(fp)
|
||||||
|
|
||||||
|
|
@ -84,6 +86,10 @@ while True:
|
||||||
with open(jsonOutFilename, 'w') as fp:
|
with open(jsonOutFilename, 'w') as fp:
|
||||||
json.dump(data, fp)
|
json.dump(data, fp)
|
||||||
print("(MERGE) Wrote: {}".format(jsonOutFilename))
|
print("(MERGE) Wrote: {}".format(jsonOutFilename))
|
||||||
|
print("(MERGE) Cleanup segments for frame {}".format(frameOutNr))
|
||||||
|
for imgName in segmentImages:
|
||||||
|
print("(MERGE) \t Unlink {}".format(imgName))
|
||||||
|
os.unlink(imgName)
|
||||||
|
|
||||||
nextOutNr += segmentCount
|
nextOutNr += segmentCount
|
||||||
nextJson = os.path.join(args.segmentDir, "segment%06d.json" % nextOutNr)
|
nextJson = os.path.join(args.segmentDir, "segment%06d.json" % nextOutNr)
|
||||||
|
|
|
||||||
Loading…
Reference in New Issue