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Shinobi CE officially lands on Gitlab

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Moe 2018-06-07 23:21:38 -07:00
commit f1406d4eec
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plugins/motion/.gitignore vendored Normal file
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conf.json

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apt-get install libcairo2-dev libjpeg-dev libpango1.0-dev libgif-dev build-essential g++
npm install canvas
cd plugins/motion
cp conf.sample.json conf.json
pm2 start shinobi-motion.js

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# Shinobi Motion Detector
Install required libraries.
**Ubuntu and Debian only**
```
sudo apt-get install libcairo2-dev libjpeg-dev libpango1.0-dev libgif-dev build-essential g++
```
**CentOS only**
```
su -c 'yum install cairo cairo-devel cairomm-devel libjpeg-turbo-devel pango pango-devel pangomm pangomm-devel giflib-devel'
yum search arial
yum install liberation-sans-fonts.noarch
```
**Install the Node.js Canvas engine**
```
sudo npm install canvas
```
Go to the Shinobi directory. **Below is an example.**
```
cd /home/Shinobi
```
Copy the config file.
```
cp plugins/motion/conf.sample.json plugins/motion/conf.json
```
Edit it the new file. Host should be `localhost` and port should match the `listening port for camera.js`.
```
nano plugins/motion/conf.json
```
Start the plugin.
```
node plugins/motion/shinobi-motion.js
```
Or to daemonize with PM2.
```
pm2 start plugins/motion/shinobi-motion.js
```
Doing this will reveal options in the monitor configuration. Shinobi does not need to be restarted when a plugin is initiated or stopped.

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{
"plug":"Motion",
"host":"localhost",
"port":8080,
"key":"change_this_to_something_very_random____make_sure_to_match__/plugins/motion/conf.json",
"notice":"Looks like you have the Motion plugin running. Don't forget to enable <b>Send Frames</b> to start pushing frames to be read."
}

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'use strict'
module.exports = {
data: getterSetter([], function(arrayOfArrays) {
var n = arrayOfArrays[0].length;
return (arrayOfArrays.map(function(array) {
return array.length == n;
}).reduce(function(boolA, boolB) { return (boolA & boolB) }, true));
}),
clusters: function() {
var pointsAndCentroids = kmeans(this.data(), {k: this.k(), iterations: this.iterations() });
var points = pointsAndCentroids.points;
var centroids = pointsAndCentroids.centroids;
return centroids.map(function(centroid) {
return {
centroid: centroid.location(),
points: points.filter(function(point) { return point.label() == centroid.label() }).map(function(point) { return point.location() }),
};
});
},
k: getterSetter(undefined, function(value) { return ((value % 1 == 0) & (value > 0)) }),
iterations: getterSetter(Math.pow(10, 3), function(value) { return ((value % 1 == 0) & (value > 0)) }),
};
function kmeans(data, config) {
// default k
var k = config.k || Math.round(Math.sqrt(data.length / 2));
var iterations = config.iterations;
// initialize point objects with data
var points = data.map(function(vector) { return new Point(vector) });
// intialize centroids randomly
var centroids = [];
for (var i = 0; i < k; i++) {
centroids.push(new Centroid(points[i % points.length].location(), i));
};
// update labels and centroid locations until convergence
for (var iter = 0; iter < iterations; iter++) {
points.forEach(function(point) { point.updateLabel(centroids) });
centroids.forEach(function(centroid) { centroid.updateLocation(points) });
};
// return points and centroids
return {
points: points,
centroids: centroids
};
};
// objects
function Point(location) {
var self = this;
this.location = getterSetter(location);
this.label = getterSetter();
this.updateLabel = function(centroids) {
var distancesSquared = centroids.map(function(centroid) {
return sumOfSquareDiffs(self.location(), centroid.location());
});
self.label(mindex(distancesSquared));
};
};
function Centroid(initialLocation, label) {
var self = this;
this.location = getterSetter(initialLocation);
this.label = getterSetter(label);
this.updateLocation = function(points) {
var pointsWithThisCentroid = points.filter(function(point) { return point.label() == self.label() });
if (pointsWithThisCentroid.length > 0) self.location(averageLocation(pointsWithThisCentroid));
};
};
// convenience functions
function getterSetter(initialValue, validator) {
var thingToGetSet = initialValue;
var isValid = validator || function(val) { return true };
return function(newValue) {
if (typeof newValue === 'undefined') return thingToGetSet;
if (isValid(newValue)) thingToGetSet = newValue;
};
};
function sumOfSquareDiffs(oneVector, anotherVector) {
var squareDiffs = oneVector.map(function(component, i) {
return Math.pow(component - anotherVector[i], 2);
});
return squareDiffs.reduce(function(a, b) { return a + b }, 0);
};
function mindex(array) {
var min = array.reduce(function(a, b) {
return Math.min(a, b);
});
return array.indexOf(min);
};
function sumVectors(a, b) {
return a.map(function(val, i) { return val + b[i] });
};
function averageLocation(points) {
var zeroVector = points[0].location().map(function() { return 0 });
var locations = points.map(function(point) { return point.location() });
var vectorSum = locations.reduce(function(a, b) { return sumVectors(a, b) }, zeroVector);
return vectorSum.map(function(val) { return val / points.length });
};

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//
// Shinobi - Motion Plugin
// Copyright (C) 2016-2025 Moe Alam, moeiscool
//
// # Donate
//
// If you like what I am doing here and want me to continue please consider donating :)
// PayPal : paypal@m03.ca
//
process.on('uncaughtException', function (err) {
console.error('uncaughtException',err);
});
var fs = require('fs');
var moment = require('moment');
var Canvas = require('canvas');
var Cluster = require('./libs/clusterPoints.js');
var config=require('./conf.json');
if(process.argv[2]&&process.argv[3]){
config.host=process.argv[2]
config.port=process.argv[3]
config.key=process.argv[4]
}
if(config.systemLog===undefined){config.systemLog=true}
s={
group:{},
}
s.systemLog=function(q,w,e){
if(!w){w=''}
if(!e){e=''}
if(config.systemLog===true){
return console.log(moment().format(),q,w,e)
}
}
s.checkRegion=function(d,cord){
d.width = d.image.width;
d.height = d.image.height;
if(!s.group[d.ke][d.id].canvas[cord.name]){
if(!cord.sensitivity||isNaN(cord.sensitivity)){
cord.sensitivity=d.mon.detector_sensitivity;
}
s.group[d.ke][d.id].canvas[cord.name] = new Canvas(d.width,d.height);
s.group[d.ke][d.id].canvasContext[cord.name] = s.group[d.ke][d.id].canvas[cord.name].getContext('2d');
s.group[d.ke][d.id].canvasContext[cord.name].fillStyle = '#005337';
s.group[d.ke][d.id].canvasContext[cord.name].fillRect( 0, 0,d.width,d.height);
if(cord.points&&cord.points.length>0){
s.group[d.ke][d.id].canvasContext[cord.name].beginPath();
for (var b = 0; b < cord.points.length; b++){
cord.points[b][0]=parseFloat(cord.points[b][0]);
cord.points[b][1]=parseFloat(cord.points[b][1]);
if(b===0){
s.group[d.ke][d.id].canvasContext[cord.name].moveTo(cord.points[b][0],cord.points[b][1]);
}else{
s.group[d.ke][d.id].canvasContext[cord.name].lineTo(cord.points[b][0],cord.points[b][1]);
}
}
s.group[d.ke][d.id].canvasContext[cord.name].clip();
}
}
s.group[d.ke][d.id].canvasContext[cord.name].drawImage(d.image, 0, 0, d.width, d.height);
var blenderCanvas = s.group[d.ke][d.id].canvas[cord.name];
var blenderCanvasContext = s.group[d.ke][d.id].canvasContext[cord.name];
s.group[d.ke][d.id].frameSelected[s.group[d.ke][d.id].frameNumber] = blenderCanvasContext.getImageData(0, 0, blenderCanvas.width, blenderCanvas.height);
s.group[d.ke][d.id].frameNumber = 0 == s.group[d.ke][d.id].frameNumber ? 1 : 0;
s.group[d.ke][d.id].lastRegionImageData = blenderCanvasContext.getImageData(0, 0, blenderCanvas.width, blenderCanvas.height);
if(!s.group[d.ke][d.id].lastRegionImageData){return}
var foundPixels = [];
var average = 0;
var currentImageLength = s.group[d.ke][d.id].lastRegionImageData.data.length * 0.25;
for (b = 0; b < currentImageLength;){
var pos = b * 4
s.group[d.ke][d.id].lastRegionImageData.data[pos] = .5 * (255 - s.group[d.ke][d.id].lastRegionImageData.data[pos]) + .5 * s.group[d.ke][d.id].frameSelected[s.group[d.ke][d.id].frameNumber].data[pos];
s.group[d.ke][d.id].lastRegionImageData.data[pos + 1] = .5 * (255 - s.group[d.ke][d.id].lastRegionImageData.data[pos + 1]) + .5 * s.group[d.ke][d.id].frameSelected[s.group[d.ke][d.id].frameNumber].data[pos + 1];
s.group[d.ke][d.id].lastRegionImageData.data[pos + 2] = .5 * (255 - s.group[d.ke][d.id].lastRegionImageData.data[pos + 2]) + .5 * s.group[d.ke][d.id].frameSelected[s.group[d.ke][d.id].frameNumber].data[pos + 2];
s.group[d.ke][d.id].lastRegionImageData.data[pos + 3] = 255;
var score = (s.group[d.ke][d.id].lastRegionImageData.data[pos] + s.group[d.ke][d.id].lastRegionImageData.data[pos + 1] + s.group[d.ke][d.id].lastRegionImageData.data[pos + 2]) / 3;
if(score>170){
var x = (pos / 4) % d.width;
var y = Math.floor((pos / 4) / d.width);
foundPixels.push([x,y])
}
average += (s.group[d.ke][d.id].lastRegionImageData.data[b * 4] + s.group[d.ke][d.id].lastRegionImageData.data[b * 4 + 1] + s.group[d.ke][d.id].lastRegionImageData.data[b * 4 + 2]);
b += 4;
}
// console.log(foundPixels)
var matrices
if(d.mon.detector_region_of_interest==='1'&&foundPixels.length>0){
var groupedPoints = Object.assign({},Cluster);
groupedPoints.iterations(25);
groupedPoints.data(foundPixels);
var groupedPoints = groupedPoints.clusters()
var matrices=[]
var mostHeight = 0;
var mostWidth = 0;
var mostWithMotion = null;
groupedPoints.forEach(function(v,n){
var matrix = {
topLeft:[d.width,d.height],
topRight:[0,d.height],
bottomRight:[0,0],
bottomLeft:[d.width,0],
}
v.points.forEach(function(b){
var x = b[0]
var y = b[1]
if(x<matrix.topLeft[0])matrix.topLeft[0]=x;
if(y<matrix.topLeft[1])matrix.topLeft[1]=y;
//Top Right point
if(x>matrix.topRight[0])matrix.topRight[0]=x;
if(y<matrix.topRight[1])matrix.topRight[1]=y;
//Bottom Right point
if(x>matrix.bottomRight[0])matrix.bottomRight[0]=x;
if(y>matrix.bottomRight[1])matrix.bottomRight[1]=y;
//Bottom Left point
if(x<matrix.bottomLeft[0])matrix.bottomLeft[0]=x;
if(y>matrix.bottomLeft[1])matrix.bottomLeft[1]=y;
})
matrix.x = matrix.topLeft[0];
matrix.y = matrix.topLeft[1];
matrix.width = matrix.topRight[0] - matrix.topLeft[0]
matrix.height = matrix.bottomLeft[1] - matrix.topLeft[1]
if(matrix.width>mostWidth&&matrix.height>mostHeight){
mostWidth = matrix.width;
mostHeight = matrix.height;
mostWithMotion = matrix;
}
matrices.push(matrix)
})
}
average = (average / (currentImageLength));
if (average > parseFloat(cord.sensitivity)){
s.cx({f:'trigger',id:d.id,ke:d.ke,details:{plug:config.plug,name:cord.name,reason:'motion',confidence:average,matrices:matrices}})
}
s.group[d.ke][d.id].canvasContext[cord.name].clearRect(0, 0, d.width, d.height);
}
s.checkAreas=function(d){
if(!s.group[d.ke][d.id].cords){
if(!d.mon.cords){d.mon.cords={}}
s.group[d.ke][d.id].cords=Object.values(d.mon.cords);
}
if(d.mon.detector_frame==='1'){
d.mon.cords.frame={name:'frame',s:d.mon.detector_sensitivity,points:[[0,0],[0,d.image.height],[d.image.width,d.image.height],[d.image.width,0]]};
s.group[d.ke][d.id].cords.push(d.mon.cords.frame);
}
for (var b = 0; b < s.group[d.ke][d.id].cords.length; b++){
if(!s.group[d.ke][d.id].cords[b]){return}
s.checkRegion(d,s.group[d.ke][d.id].cords[b])
}
delete(d.image)
}
io = require('socket.io-client')('ws://'+config.host+':'+config.port);//connect to master
s.cx=function(x){x.pluginKey=config.key;x.plug=config.plug;return io.emit('ocv',x)}
io.on('connect',function(d){
s.cx({f:'init',plug:config.plug,notice:config.notice});
})
io.on('disconnect',function(d){
io.connect();
})
io.on('f',function(d){
switch(d.f){
case'init_monitor':
if(s.group[d.ke]&&s.group[d.ke][d.id]){
s.group[d.ke][d.id].canvas={}
s.group[d.ke][d.id].canvasContext={}
s.group[d.ke][d.id].lastRegionImageData=undefined
s.group[d.ke][d.id].frameNumber=0
s.group[d.ke][d.id].frameSelected=[]
delete(s.group[d.ke][d.id].cords)
delete(s.group[d.ke][d.id].buffer)
}
break;
case'frame':
try{
if(!s.group[d.ke]){
s.group[d.ke]={}
}
if(!s.group[d.ke][d.id]){
s.group[d.ke][d.id]={
canvas:{},
canvasContext:{},
lastRegionImageData:undefined,
frameNumber:0,
frameSelected:[],
}
}
if(!s.group[d.ke][d.id].buffer){
s.group[d.ke][d.id].buffer=[d.frame];
}else{
s.group[d.ke][d.id].buffer.push(d.frame)
}
if(d.frame[d.frame.length-2] === 0xFF && d.frame[d.frame.length-1] === 0xD9){
if(s.group[d.ke][d.id].motion_lock){
return
}else{
if(!d.mon.detector_lock_timeout||d.mon.detector_lock_timeout===''||d.mon.detector_lock_timeout==0){
d.mon.detector_lock_timeout=2000
}else{
d.mon.detector_lock_timeout=parseFloat(d.mon.detector_lock_timeout)
}
s.group[d.ke][d.id].motion_lock=setTimeout(function(){
clearTimeout(s.group[d.ke][d.id].motion_lock);
delete(s.group[d.ke][d.id].motion_lock);
},d.mon.detector_lock_timeout)
}
s.group[d.ke][d.id].buffer=Buffer.concat(s.group[d.ke][d.id].buffer);
if((typeof d.mon.cords ==='string')&&d.mon.cords.trim()===''){
d.mon.cords=[]
}else{
try{
d.mon.cords=JSON.parse(d.mon.cords)
}catch(err){
}
}
if(d.mon.detector_frame_save==="1"){
d.base64=s.group[d.ke][d.id].buffer.toString('base64')
}
s.group[d.ke][d.id].cords=Object.values(d.mon.cords);
d.mon.cords=d.mon.cords;
d.image = new Canvas.Image;
if(d.mon.detector_scale_x===''||d.mon.detector_scale_y===''){
s.systemLog('Must set detector image size')
return
}else{
d.image.width=d.mon.detector_scale_x;
d.image.height=d.mon.detector_scale_y;
}
d.image.onload = function() {
s.checkAreas(d);
}
d.image.src = s.group[d.ke][d.id].buffer;
s.group[d.ke][d.id].buffer=null;
}
}catch(err){
if(err){
s.systemLog(err)
delete(s.group[d.ke][d.id].buffer)
}
}
break;
}
})

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//
// Shinobi - Motion Plugin
// Copyright (C) 2016-2025 Moe Alam, moeiscool
//
// # Donate
//
// If you like what I am doing here and want me to continue please consider donating :)
// PayPal : paypal@m03.ca
//
process.on('uncaughtException', function (err) {
console.error('uncaughtException',err);
});
var fs = require('fs');
var moment = require('moment');
var Canvas = require('canvas');
var config=require('./conf.json');
if(process.argv[2]&&process.argv[3]){
config.host=process.argv[2]
config.port=process.argv[3]
config.key=process.argv[4]
}
if(config.systemLog===undefined){config.systemLog=true}
s={
group:{},
}
s.systemLog=function(q,w,e){
if(!w){w=''}
if(!e){e=''}
if(config.systemLog===true){
return console.log(moment().format(),q,w,e)
}
}
s.blenderRegion=function(d,cord){
d.width = d.image.width;
d.height = d.image.height;
if(!s.group[d.ke][d.id].canvas[cord.name]){
if(!cord.sensitivity||isNaN(cord.sensitivity)){
cord.sensitivity=d.mon.detector_sensitivity;
}
s.group[d.ke][d.id].canvas[cord.name] = new Canvas(d.width,d.height);
s.group[d.ke][d.id].canvasContext[cord.name] = s.group[d.ke][d.id].canvas[cord.name].getContext('2d');
s.group[d.ke][d.id].canvasContext[cord.name].fillStyle = '#005337';
s.group[d.ke][d.id].canvasContext[cord.name].fillRect( 0, 0,d.width,d.height);
if(cord.points&&cord.points.length>0){
s.group[d.ke][d.id].canvasContext[cord.name].beginPath();
for (var b = 0; b < cord.points.length; b++){
cord.points[b][0]=parseFloat(cord.points[b][0]);
cord.points[b][1]=parseFloat(cord.points[b][1]);
if(b===0){
s.group[d.ke][d.id].canvasContext[cord.name].moveTo(cord.points[b][0],cord.points[b][1]);
}else{
s.group[d.ke][d.id].canvasContext[cord.name].lineTo(cord.points[b][0],cord.points[b][1]);
}
}
s.group[d.ke][d.id].canvasContext[cord.name].clip();
}
}
if(!s.group[d.ke][d.id].canvasContext[cord.name]){
return
}
s.group[d.ke][d.id].canvasContext[cord.name].drawImage(d.image, 0, 0, d.width, d.height);
if(!s.group[d.ke][d.id].blendRegion[cord.name]){
s.group[d.ke][d.id].blendRegion[cord.name] = new Canvas(d.width, d.height);
s.group[d.ke][d.id].blendRegionContext[cord.name] = s.group[d.ke][d.id].blendRegion[cord.name].getContext('2d');
}
var sourceData = s.group[d.ke][d.id].canvasContext[cord.name].getImageData(0, 0, d.width, d.height);
// create an image if the previous image doesn<73>t exist
if (!s.group[d.ke][d.id].lastRegionImageData[cord.name]) s.group[d.ke][d.id].lastRegionImageData[cord.name] = s.group[d.ke][d.id].canvasContext[cord.name].getImageData(0, 0, d.width, d.height);
// create a ImageData instance to receive the blended result
var blendedData = s.group[d.ke][d.id].canvasContext[cord.name].createImageData(d.width, d.height);
// blend the 2 images
s.differenceAccuracy(blendedData.data,sourceData.data,s.group[d.ke][d.id].lastRegionImageData[cord.name].data);
// draw the result in a canvas
s.group[d.ke][d.id].blendRegionContext[cord.name].putImageData(blendedData, 0, 0);
// store the current webcam image
s.group[d.ke][d.id].lastRegionImageData[cord.name] = sourceData;
blendedData = s.group[d.ke][d.id].blendRegionContext[cord.name].getImageData(0, 0, d.width, d.height);
var i = 0;
var average = 0;
while (i < (blendedData.data.length * 0.25)) {
average += (blendedData.data[i * 4] + blendedData.data[i * 4 + 1] + blendedData.data[i * 4 + 2]);
++i;
}
average = (average / (blendedData.data.length * 0.25))*10;
if (average > parseFloat(cord.sensitivity)){
s.cx({f:'trigger',id:d.id,ke:d.ke,details:{plug:config.plug,name:cord.name,reason:'motion',confidence:average}})
}
s.group[d.ke][d.id].canvasContext[cord.name].clearRect(0, 0, d.width, d.height);
s.group[d.ke][d.id].blendRegionContext[cord.name].clearRect(0, 0, d.width, d.height);
}
function fastAbs(value) {
return (value ^ (value >> 31)) - (value >> 31);
}
function threshold(value) {
return (value > 0x15) ? 0xFF : 0;
}
function difference(target, data1, data2) {
// blend mode difference
if (data1.length != data2.length) return null;
var i = 0;
while (i < (data1.length * 0.25)) {
target[4 * i] = data1[4 * i] == 0 ? 0 : fastAbs(data1[4 * i] - data2[4 * i]);
target[4 * i + 1] = data1[4 * i + 1] == 0 ? 0 : fastAbs(data1[4 * i + 1] - data2[4 * i + 1]);
target[4 * i + 2] = data1[4 * i + 2] == 0 ? 0 : fastAbs(data1[4 * i + 2] - data2[4 * i + 2]);
target[4 * i + 3] = 0xFF;
++i;
}
}
s.differenceAccuracy=function(target, data1, data2) {
if (data1.length != data2.length) return null;
var i = 0;
while (i < (data1.length * 0.25)) {
var average1 = (data1[4 * i] + data1[4 * i + 1] + data1[4 * i + 2]) / 3;
var average2 = (data2[4 * i] + data2[4 * i + 1] + data2[4 * i + 2]) / 3;
var diff = threshold(fastAbs(average1 - average2));
target[4 * i] = diff;
target[4 * i + 1] = diff;
target[4 * i + 2] = diff;
target[4 * i + 3] = 0xFF;
++i;
}
}
s.checkAreas=function(d){
if(!s.group[d.ke][d.id].cords){
if(!d.mon.cords){d.mon.cords={}}
s.group[d.ke][d.id].cords=Object.values(d.mon.cords);
}
if(d.mon.detector_frame==='1'){
d.mon.cords.frame={name:'frame',s:d.mon.detector_sensitivity,points:[[0,0],[0,d.image.height],[d.image.width,d.image.height],[d.image.width,0]]};
s.group[d.ke][d.id].cords.push(d.mon.cords.frame);
}
for (var b = 0; b < s.group[d.ke][d.id].cords.length; b++){
if(!s.group[d.ke][d.id].cords[b]){return}
s.blenderRegion(d,s.group[d.ke][d.id].cords[b])
}
delete(d.image)
}
io = require('socket.io-client')('ws://'+config.host+':'+config.port);//connect to master
s.cx=function(x){x.pluginKey=config.key;x.plug=config.plug;return io.emit('ocv',x)}
io.on('connect',function(d){
s.cx({f:'init',plug:config.plug,notice:config.notice});
})
io.on('disconnect',function(d){
io.connect();
})
io.on('f',function(d){
switch(d.f){
case'init_monitor':
if(s.group[d.ke]&&s.group[d.ke][d.id]){
s.group[d.ke][d.id].canvas={}
s.group[d.ke][d.id].canvasContext={}
s.group[d.ke][d.id].blendRegion={}
s.group[d.ke][d.id].blendRegionContext={}
s.group[d.ke][d.id].lastRegionImageData={}
delete(s.group[d.ke][d.id].cords)
delete(s.group[d.ke][d.id].buffer)
}
break;
case'frame':
try{
if(!s.group[d.ke]){
s.group[d.ke]={}
}
if(!s.group[d.ke][d.id]){
s.group[d.ke][d.id]={
canvas:{},
canvasContext:{},
lastRegionImageData:{},
blendRegion:{},
blendRegionContext:{},
}
}
if(!s.group[d.ke][d.id].buffer){
s.group[d.ke][d.id].buffer=[d.frame];
}else{
s.group[d.ke][d.id].buffer.push(d.frame)
}
if(d.frame[d.frame.length-2] === 0xFF && d.frame[d.frame.length-1] === 0xD9){
if(s.group[d.ke][d.id].motion_lock){
return
}else{
if(!d.mon.detector_lock_timeout||d.mon.detector_lock_timeout===''||d.mon.detector_lock_timeout==0){
d.mon.detector_lock_timeout=2000
}else{
d.mon.detector_lock_timeout=parseFloat(d.mon.detector_lock_timeout)
}
s.group[d.ke][d.id].motion_lock=setTimeout(function(){
clearTimeout(s.group[d.ke][d.id].motion_lock);
delete(s.group[d.ke][d.id].motion_lock);
},d.mon.detector_lock_timeout)
}
s.group[d.ke][d.id].buffer=Buffer.concat(s.group[d.ke][d.id].buffer);
if((typeof d.mon.cords ==='string')&&d.mon.cords.trim()===''){
d.mon.cords=[]
}else{
try{
d.mon.cords=JSON.parse(d.mon.cords)
}catch(err){
}
}
if(d.mon.detector_frame_save==="1"){
d.base64=s.group[d.ke][d.id].buffer.toString('base64')
}
s.group[d.ke][d.id].cords=Object.values(d.mon.cords);
d.mon.cords=d.mon.cords;
d.image = new Canvas.Image;
if(d.mon.detector_scale_x===''||d.mon.detector_scale_y===''){
s.systemLog('Must set detector image size')
return
}else{
d.image.width=d.mon.detector_scale_x;
d.image.height=d.mon.detector_scale_y;
}
d.image.onload = function() {
s.checkAreas(d);
}
d.image.src = s.group[d.ke][d.id].buffer;
s.group[d.ke][d.id].buffer=null;
}
}catch(err){
if(err){
s.systemLog(err)
delete(s.group[d.ke][d.id].buffer)
}
}
break;
}
})