Refactored shinobi-tensorflow.js (by moe and thellamafarm)
parent
18b3ae1c45
commit
db13c16260
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@ -13,63 +13,77 @@ var fs = require('fs');
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var config = require('./conf.json')
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var dotenv = require('dotenv').config()
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var s
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try{
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s = require('../pluginBase.js')(__dirname,config)
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}catch(err){
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try {
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s = require('../pluginBase.js')(__dirname, config)
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} catch (err) {
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console.log(err)
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try{
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s = require('./pluginBase.js')(__dirname,config)
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}catch(err){
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try {
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s = require('./pluginBase.js')(__dirname, config)
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} catch (err) {
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console.log(err)
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return console.log(config.plug,'Plugin start has failed. pluginBase.js was not found.')
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return console.log(config.plug, 'Plugin start has failed. pluginBase.js was not found.')
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}
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}
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// Base Init />>
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var spawn = require('child_process').spawn;
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var child = spawn('python3', ['-u', 'detect_image.py']);
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var ready = false;
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var lastStatusLog = new Date();
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child.on('close', function() {
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child = spawn('python3', ['-u', 'detect_image.py']);
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});
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child.stdout.on('data', function (data) {
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var rawString = data.toString('utf8');
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if(new Date() - lastStatusLog > 5000){
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lastStatusLog = new Date();
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console.log(rawString, new Date());
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}
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var messages = rawString.split('\n')
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messages.forEach((message) => {
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if(message === "") return;
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var obj = JSON.parse(message)
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if (obj.type === "error") {
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console.log("Script got error: "+message.data, new Date());
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throw message.data;
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const spawn = require('child_process').spawn;
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var child = null
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function respawn() {
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console.log("respawned python",(new Date()))
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const theChild = spawn('python3', ['-u', 'detect_image.py']);
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var lastStatusLog = new Date();
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theChild.on('exit', () => {
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child = respawn();
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});
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theChild.stdout.on('data', function (data) {
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var rawString = data.toString('utf8');
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if (new Date() - lastStatusLog > 5000) {
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lastStatusLog = new Date();
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console.log(rawString, new Date());
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}
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if (obj.type === "info" && obj.data === "ready") {
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console.log("set ready true")
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ready = true;
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} else {
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if(obj.type !== "data" && obj.type !== "info"){
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throw "Unexpected message: "+rawString;
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var messages = rawString.split('\n')
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messages.forEach((message) => {
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if (message === "") return;
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var obj = JSON.parse(message)
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if (obj.type === "error") {
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console.log("Script got error: " + message.data, new Date());
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throw message.data;
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}
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}
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if (obj.type === "info" && obj.data === "ready") {
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console.log("set ready true")
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ready = true;
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} else {
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if (obj.type !== "data" && obj.type !== "info") {
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throw "Unexpected message: " + rawString;
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}
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}
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})
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})
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})
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const emptyDataObject = {data: [], type: undefined, time: 0};
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return theChild
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}
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// Base Init />>
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child = respawn();
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const emptyDataObject = { data: [], type: undefined, time: 0 };
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async function process(buffer, type) {
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const startTime = new Date();
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if(!ready){
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if (!ready) {
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return emptyDataObject;
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}
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ready = false;
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child.stdin.write(buffer.toString('base64')+'\n');
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child.stdin.write(buffer.toString('base64') + '\n');
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var message = null;
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await new Promise(resolve => {
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child.stdout.once('data', (data) => {
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@ -78,7 +92,7 @@ async function process(buffer, type) {
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message = JSON.parse(rawString)
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}
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catch (e) {
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message = {data: []};
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message = { data: [] };
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}
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resolve();
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});
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@ -91,15 +105,15 @@ async function process(buffer, type) {
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time: new Date() - startTime
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}
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}
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s.detectObject = function(buffer,d,tx,frameLocation,callback){
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process( buffer).then((resp)=>{
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s.detectObject = function (buffer, d, tx, frameLocation, callback) {
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process(buffer).then((resp) => {
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var results = resp.data
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//console.log(resp.time)
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if(Array.isArray(results) && results[0]){
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if (Array.isArray(results) && results[0]) {
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var mats = []
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results.forEach(function(v){
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results.forEach(function (v) {
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mats.push({
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x: v.bbox[0],
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y: v.bbox[1],
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@ -110,19 +124,19 @@ s.detectObject = function(buffer,d,tx,frameLocation,callback){
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})
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})
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var isObjectDetectionSeparate = d.mon.detector_pam === '1' && d.mon.detector_use_detect_object === '1'
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var width = parseFloat(isObjectDetectionSeparate && d.mon.detector_scale_y_object ? d.mon.detector_scale_y_object : d.mon.detector_scale_y)
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var height = parseFloat(isObjectDetectionSeparate && d.mon.detector_scale_x_object ? d.mon.detector_scale_x_object : d.mon.detector_scale_x)
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var width = parseFloat(isObjectDetectionSeparate && d.mon.detector_scale_y_object ? d.mon.detector_scale_y_object : d.mon.detector_scale_y)
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var height = parseFloat(isObjectDetectionSeparate && d.mon.detector_scale_x_object ? d.mon.detector_scale_x_object : d.mon.detector_scale_x)
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tx({
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f:'trigger',
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id:d.id,
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ke:d.ke,
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details:{
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plug:config.plug,
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name:'Tensorflow',
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reason:'object',
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matrices:mats,
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imgHeight:width,
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imgWidth:height,
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f: 'trigger',
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id: d.id,
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ke: d.ke,
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details: {
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plug: config.plug,
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name: 'Tensorflow',
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reason: 'object',
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matrices: mats,
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imgHeight: width,
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imgWidth: height,
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time: resp.time
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}
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})
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