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server.js
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server.js
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// Ignore long apidoc comments while keeping the code to 100 chars per line.
/* eslint max-len: ["warn", { "ignoreComments": true , "code": 100, "tabWidth": 2, "ignoreUrls": true }] */
// Allow console output
/* eslint no-console: "off" */
const express = require('express')();
const multer = require('multer');
const serveStatic = require('serve-static');
// Used for CSV export. Do not remove.
const csv = require('csv-express'); /* eslint-disable-line */
const bodyParser = require('body-parser');
const http = require('http');
const next = require('next');
const sse = require('server-sent-events');
const ip = require('ip');
const flatten = require('lodash.flatten');
const intercept = require('intercept-stdout');
const { Tracker } = require('node-moving-things-tracker');
const cloneDeep = require('lodash.clonedeep');
const Opendatacam = require('./server/Opendatacam');
const { getURLData } = require('./server/utils/urlHelper');
const FileSystemManager = require('./server/fs/FileSystemManager');
const { MjpegProxy } = require('./server/utils/mjpegproxy');
const config = require('./config.json');
const configHelper = require('./server/utils/configHelper');
const GpsTracker = require('./server/tracker/GpsTracker');
const packageJson = require('./package.json');
const { YoloDarknet } = require('./server/processes/YoloDarknet');
const { MongoDbManager } = require('./server/db/MongoDbManager');
if (packageJson.version !== config.OPENDATACAM_VERSION) {
console.log('-----------------------------------');
console.log('- ERROR Config.json version doesn\'t match Opendatacam package.json version -');
console.log(`- Use a config.json file version matching: ${process.env.npm_package_version}`);
console.log('-----------------------------------');
process.exit(1);
}
const port = parseInt(process.env.PORT, 10) || configHelper.getAppPort();
const dev = process.env.NODE_ENV !== 'production';
const app = next({ dev });
const handle = app.getRequestHandler();
// Log config loaded
console.log('-----------------------------------');
console.log('- Opendatacam initialized -');
console.log('- Config loaded: -');
console.log(JSON.stringify(config, null, 2));
console.log('-----------------------------------');
Opendatacam.setConfig(config);
// Initial YOLO config
const yoloConfig = {
yoloParams: config.NEURAL_NETWORK_PARAMS[config.NEURAL_NETWORK],
videoType: config.VIDEO_INPUT,
videoParams: config.VIDEO_INPUTS_PARAMS[config.VIDEO_INPUT],
jsonStreamPort: configHelper.getJsonStreamPort(),
mjpegStreamPort: configHelper.getMjpegStreamPort(),
darknetPath: config.PATH_TO_YOLO_DARKNET,
darknetCmd: config.CMD_TO_YOLO_DARKNET,
};
if (config.VIDEO_INPUT === 'simulation') {
yoloConfig.darknetPath = '.';
yoloConfig.darknetCmd = 'node scripts/YoloSimulation.js';
if (yoloConfig.yoloParams === undefined) {
yoloConfig.yoloParams = {
data: 'data',
cfg: 'cfg',
weights: 'weights',
};
}
}
let YOLO = new YoloDarknet(yoloConfig);
// Select tracker, based on GPS settings in config
let tracker = Tracker;
const isGpsEnabled = config.GPS && config.GPS.enabled === true;
if (isGpsEnabled) {
tracker = new GpsTracker(Tracker, config.GPS);
}
// Set tracker params
if (config.TRACKER_SETTINGS) {
const trackerParams = {};
const paramKeys = ['iouLimit',
'unMatchedFrameTolerance',
'fastDelete',
'distanceFunc',
'distanceLimit',
'matchingAlgorithm'];
paramKeys.forEach((key) => {
if (key in config.TRACKER_SETTINGS) {
trackerParams[key] = config.TRACKER_SETTINGS[key];
}
});
tracker.setParams(trackerParams);
}
Opendatacam.setTracker(tracker);
// Init connection to db
let dbManager = null;
if (config.DATABASE === 'mongo') {
dbManager = new MongoDbManager(config.DATABASE_PARAMS.mongo);
}
if (dbManager !== null) {
dbManager.connect().then(
() => {
console.log('Success init db');
},
(err) => {
console.error(err);
},
);
Opendatacam.setDatabase(dbManager);
} else {
console.warn('No or unknown database configured.');
}
let stdoutBuffer = '';
let stdoutInterval = '';
const bufferLimit = 30000;
intercept((text) => {
const stdoutText = text.toString();
stdoutBuffer += stdoutText;
stdoutInterval += stdoutText;
// Keep buffer maximum to 10000 characters
if (stdoutBuffer.length > bufferLimit) {
stdoutBuffer = stdoutBuffer.substring(stdoutBuffer.length - bufferLimit, stdoutBuffer.length);
}
});
app.prepare()
.then(() => {
// Start HTTP server
const server = http.createServer(express);
express.use(bodyParser.json());
// TODO add compression: https://github.com/expressjs/compression
// This render pages/index.js for a request to /
express.get('/', (req, res) => {
YOLO.start(); // Inside yolo process will check is started
const urlData = {
hostname: 'localhost',
port: configHelper.getJsonStreamPort(),
path: '/',
method: 'GET',
};
Opendatacam.listenToYOLO(YOLO, urlData);
return app.render(req, res, '/');
});
/**
* @api {get} /start Start Opendatacam
* @apiName Start
* @apiGroup Opendatacam
*
* @apiDescription Start opendatacam without loading the UI
*
* This will start the YOLO process on the video input stream
*
* @apiSuccessExample Success-Response:
* HTTP/1.1 200 OK
*
*/
express.get('/start', (req, res) => {
YOLO.start(); // Inside yolo process will check is started
const urlData = getURLData(req);
Opendatacam.listenToYOLO(YOLO, urlData);
res.sendStatus(200);
});
let mjpgProxy = null;
/**
* @api {get} /webcam/stream Stream (MJPEG)
* @apiName Stream
* @apiGroup Webcam
*
* @apiDescription Limitation: Only available after YOLO has started
*
* This endpoint streams the webcam as a MJPEG stream. (streams the sequence of JPEG frames
* over HTTP). The TCP connection is not closed as long as the client wants to receive new
* frames and the server wants to provide new frames
*
* More on MJPEG over HTTP: https://en.wikipedia.org/wiki/Motion_JPEG#M-JPEG_over_HTTP
*/
express.get('/webcam/stream', (req, res) => {
// Proxy MJPEG stream from darknet to avoid freezing issues
if (mjpgProxy == null) {
mjpgProxy = new MjpegProxy(`http://localhost:${config.PORTS.darknet_mjpeg_stream}`);
}
return mjpgProxy.proxyRequest(req, res);
});
/**
* @api {get} /webcam/resolution Resolution
* @apiName Resolution
* @apiGroup Webcam
*
* @apiDescription Limitation: Only available after YOLO has started
*
* @apiSuccessExample {json} Success Response:
* {
* "w": 1280,
* "h": 720
* }
*/
express.get('/webcam/resolution', (req, res) => {
res.json(YOLO.videoResolution);
});
let consoleRes = null;
let consoleInterval = null;
/**
* @api {get} /console Console
* @apiName Console
* @apiGroup Helper
*
* @apiDescription Send the last 3000 characters of the server **stoud**
*
* @apiSuccessExample Response
* Ready on http://localhost:8080 > Ready on http://192.168.0.195:8080
*/
express.get('/console', (req, res) => {
if (consoleRes) {
console.log('New client, close previous stream');
consoleRes.end();
if (consoleInterval) {
clearInterval(consoleInterval);
}
} else {
console.log('First request on console stream');
}
consoleRes = res;
consoleRes.write(stdoutBuffer);
consoleInterval = setInterval(() => {
consoleRes.write(stdoutInterval);
stdoutInterval = '';
}, 2000);
});
/**
* @api {post} /counter/areas Register areas
* @apiName Register areas
* @apiGroup Counter
*
* @apiDescription Send counter areas definition to server
*
* It will replace all current counter areas (doesn't update a specific one)
*
* If you want to remove all counter areas, send an empty object
*
* @apiParam {Object} points Array of coordinates reprensenting the counting area (if two points it is a line, if more than two, it is a polygon)
* @apiParam {Object} refResolution Resolution of client side canvas where the line is drawn
* @apiParam {string="bidirectional","leftright_topbottom", "rightleft_bottomtop","polygon"} type Type of counting area ["bidirectional","leftright_topbottom", "rightleft_bottomtop"] applies for a line, "polygon" applies for polygon
*
* @apiParamExample {json} Request Example:
* {
"countingAreas": {
"cc8354b6-d8ec-41d3-ab12-38ced6811f7c": {
"color": "yellow",
"type": "polygon",
"computed": {
"lineBearings": [
82.77568288711024,
262.77568288711024
]
},
"location": {
"points": [
{
"x": 176.8421173095703,
"y": 514.7368774414062
},
{
"x": 475.78948974609375,
"y": 476.8421325683594
},
{
"x": 586.3157958984375,
"y": 582.1052856445312
},
{
"x": 174.73684692382812,
"y": 609.4736938476562
},
{
"x": 176.8421173095703,
"y": 514.7368774414062
}
],
"refResolution": {
"w": 862,
"h": 746
}
},
"name": "test"
},
"a26acb82-4585-48d8-80ec-ef22247f0d7f": {
"color": "turquoise",
"type": "bidirectional",
"computed": {
"lineBearings": [
80.97686627298364,
260.97686627298367
]
},
"location": {
"points": [
{
"x": 178.94737243652344,
"y": 448.42108154296875
},
{
"x": 424.2105407714844,
"y": 409.47369384765625
}
],
"refResolution": {
"w": 862,
"h": 746
}
},
"name": "test"
}
}
}
* @apiSuccessExample Success-Response:
* HTTP/1.1 200 OK
*/
express.post('/counter/areas', (req, res) => {
Opendatacam.registerCountingAreas(req.body.countingAreas);
res.sendStatus(200);
});
/**
* @api {get} /counter/areas Get areas
* @apiName Get counter areas
* @apiGroup Counter
*
* @apiDescription Get counter areas defined
*
* @apiSuccess {Object} location Two points defining the counting line, along with reference frame resolution
* @apiSuccess {String} color Color of the area (defined in config.json)
* @apiSuccess {String} name Name of the area
* @apiSuccess {string="bidirectional","leftright_topbottom", "rightleft_bottomtop","polygon"} type Type of counting area ["bidirectional","leftright_topbottom", "rightleft_bottomtop"] applies for a line, "polygon" applies for polygon
* @apiSuccess {Object} computed Computed linear function representing the counting line (used by the counting algorithm)
* @apiSuccessExample {json} Response
* {
"cc8354b6-d8ec-41d3-ab12-38ced6811f7c": {
"color": "yellow",
"type": "polygon",
"location": {
"points": [
{
"x": 176.8421173095703,
"y": 514.7368774414062
},
{
"x": 475.78948974609375,
"y": 476.8421325683594
},
{
"x": 586.3157958984375,
"y": 582.1052856445312
},
{
"x": 174.73684692382812,
"y": 609.4736938476562
},
{
"x": 176.8421173095703,
"y": 514.7368774414062
}
],
"refResolution": {
"w": 862,
"h": 746
}
},
"name": "test"
},
"a26acb82-4585-48d8-80ec-ef22247f0d7f": {
"color": "turquoise",
"type": "bidirectional",
"computed": {
"lineBearings": [
84.10716225471819,
264.1071622547182
],
"point1": {
"x": 265.7223163790603,
"y": -432.79246475996985
},
"point2": {
"x": 629.9182043938515,
"y": -395.2024927215985
},
"points": [
{
"x": 265.7223163790603,
"y": -432.79246475996985
},
{
"x": 629.9182043938515,
"y": -395.2024927215985
}
]
},
"location": {
"points": [
{
"x": 178.94737243652344,
"y": 448.42108154296875
},
{
"x": 424.2105407714844,
"y": 409.47369384765625
}
],
"refResolution": {
"w": 862,
"h": 746
}
},
"name": "test"
}
}
*
*/
express.get('/counter/areas', (req, res) => {
res.json(Opendatacam.getCountingAreas());
});
// Maybe Remove the need for dependency with direct express implem:
// https://github.com/expressjs/compression#server-sent-events
/**
* @api {get} /tracker/sse Tracker data
* @apiName Data
* @apiGroup Tracker
*
* @apiDescription From the browser, you can open a SSE (Server side event) connection to get
* data from Opendatacan on each frame.
*
* **How to open an SSE connexion**
*
* ```let eventSource = new EventSource("/tracker/sse")```
*
* **How to get data on each frame**
*
* ```eventSource.onmessage = (msg) => { let message = JSON.parse(msg.data); }```
*
* Then it works like websocket but only the server can push data.
*
* *Limitation: Only support one client at a time, if another one connect, the first SSE
* connection is closed*
*
* More doc on server side event, read
* [What are Server Side Events](https://medium.com/axiomzenteam/websockets-http-2-and-sse-5c24ae4d9d96)
*
* @apiSuccessExample {json} Frame example (once parsed to JSON):
* {
"trackerDataForLastFrame": {
"frameIndex": 4646,
"data": [
{
"id": 5,
"x": 340,
"y": 237,
"w": 60,
"h": 45,
"bearing": 103,
"name": "car",
"countingDeltas": {
"94afa4f8-1d24-4011-a481-ad3036e959b4": 349.8589833356673
}
},
{
"id": 6,
"x": 449,
"y": 306,
"w": 95,
"h": 72,
"bearing": 219,
"name": "car",
"countingDeltas": {
"94afa4f8-1d24-4011-a481-ad3036e959b4": 273.532278392382
}
}
]
},
"counterSummary": {
"94afa4f8-1d24-4011-a481-ad3036e959b4": {
"car": 43,
"_total": 43
}
},
"trackerSummary": {
"totalItemsTracked": 222
},
"videoResolution": {
"w": 1280,
"h": 720
},
"appState": {
"yoloStatus": {
"isStarting": true,
"isStarted": false
},
"isListeningToYOLO": true,
"recordingStatus": {
"isRecording": true,
"currentFPS": 13,
"recordingId": "5cc3400252340f451cd7397a",
"dateStarted": "2019-04-26T17:29:38.190Z"
}
}
}
*
*/
express.get('/tracker/sse', sse, (req, res) => {
Opendatacam.addStreamClient(res);
});
/**
* @api {get} /recording/start Start recording
* @apiName Start
* @apiGroup Recording
*
* @apiDescription Start recording (persisting tracker data and counting data to db)
*
* @apiSuccessExample Success-Response:
* HTTP/1.1 200 OK
*/
express.get('/recording/start', (req, res) => {
if (YOLO.isLive()) {
Opendatacam.startRecording();
} else {
Opendatacam.requestFileRecording(YOLO);
}
res.sendStatus(200);
});
/**
* @api {get} /recording/stop Stop recording
* @apiName Stop
* @apiGroup Recording
*
* @apiDescription Stop recording
*
* @apiSuccessExample Success-Response:
* HTTP/1.1 200 OK
*/
express.get('/recording/stop', (req, res) => {
Opendatacam.stopRecording();
res.sendStatus(200);
});
/**
* @api {get} /recordings?offset=:offset&limit=:limit List
* @apiName List recordings
* @apiGroup Recordings
*
* @apiParam {Number} [limit=20] Limit of recordings in the response
* @apiParam {Number} [offset=0] Skipped recordings
*
* @apiDescription Get list of all recording ordered by latest date
*
*
* @apiSuccess {String} id recordingId you will use to fetch more data on a specific recording
* @apiSuccess {String} dateStart recording start date
* @apiSuccess {String} dateEnd recording end date
* @apiSuccess {Object} areas Areas defined in this recording (see Counter -> Get areas for documentation)
* @apiSuccess {Object} counterSummary For each area, nb items counted
* @apiSuccess {Object} trackerSummary Total tracked items for all the recording
* @apiSuccessExample {json} Success Response:
* {
"offset": 0,
"limit": 1,
"total": 51,
"recordings": [
{
"_id": "5cc3400252340f451cd7397a",
"dateStart": "2019-04-26T17:29:38.190Z",
"dateEnd": "2019-04-26T17:32:14.563Z",
"areas": {
"94afa4f8-1d24-4011-a481-ad3036e959b4": {
"color": "yellow",
"location": {
"point1": {
"x": 241,
"y": 549
},
"point2": {
"x": 820,
"y": 513
},
"refResolution": {
"w": 1280,
"h": 666
}
},
"name": "test",
"computed": {
"a": 0.06721747654390149,
"b": -609.7129253605938
}
}
},
"counterSummary": {
"94afa4f8-1d24-4011-a481-ad3036e959b4": {
"car": 111,
"_total": 111
}
},
"trackerSummary": {
"totalItemsTracked": 566
}
}
]
* }
*
*/
express.get('/recordings', (req, res) => {
const limit = parseInt(req.query.limit, 10) || 20;
const offset = parseInt(req.query.offset, 10) || 0;
const recordingPromise = dbManager.getRecordings(limit, offset);
const countPromise = dbManager.getRecordingsCount();
Promise.all([recordingPromise, countPromise]).then((values) => {
res.json({
offset,
limit,
total: values[1],
recordings: values[0],
});
});
});
/**
* @api {get} /recording/:id/tracker Tracker data
* @apiName Tracker data
* @apiGroup Recording
*
* @apiDescription Get tracker data for a specific recording **(can be very large as it returns
* all the data for each frame)**
*
* @apiParam {String} id Recording id (id field of GET /recordings endpoint)
*
* @apiSuccess {String} recordingId Corresponding recordingId of this tracker recorded frame
* @apiSuccess {String} timestamp Frame date
* @apiSuccess {Object[]} objects All objects tracked on this frame
* @apiSuccess {Number} id Unique id of the object
* @apiSuccess {Number} x Position center bbox (coordinate system 0,0 is top left of frame)
* @apiSuccess {Number} y Position center bbox (coordinate system 0,0 is top left of frame)
* @apiSuccess {Number} w Width of the object
* @apiSuccess {Number} h Height of the object
* @apiSuccess {Number} bearing [0-360] Direction where the object is heading (in degree, ex: 0 degree means heading toward top of the frame, 180 towards bottom)
* @apiSuccess {String} name Class of the object
*
* @apiSuccessExample {json} Success Response:
* [
* {
"_id": "5cc3400252340f451cd7397c",
"recordingId": "5cc3400252340f451cd7397a",
"timestamp": "2019-04-26T17:29:38.301Z",
"objects": [
{
"id": 5,
"x": 351,
"y": 244,
"w": 68,
"h": 51,
"bearing": 350,
"name": "car"
},
{
"id": 6,
"x": 450,
"y": 292,
"w": 78,
"h": 67,
"bearing": 28,
"name": "car"
}
]
}
]
*/
express.get('/recording/:id/tracker', (req, res) => {
dbManager.getTrackerHistoryOfRecording(req.params.id).then((trackerData) => {
res.setHeader('Content-Type', 'application/json');
res.setHeader('Content-disposition',
`attachment; filename=trackerData-${req.params.id}.json`);
res.json(trackerData);
});
});
/**
* @api {get} /recording/:id Get recording
* @apiName Get recording
* @apiGroup Recording
*
* @apiDescription Get recording details
*
* @apiParam {String} id Recording id (id field of /recordings)
*
* @apiSuccess {videoResolution} Frame resolution
* @apiSuccessExample {json} Success Response:
*
{
"counterSummary": {
"c1cb4701-0a6e-4350-bb05-f35b56b550a6": {
"_total": 1,
"car": 1
}
},
"trackerSummary": {
"totalItemsTracked": 36
},
"_id": "5d1cb11e445cae3654e2274a",
"dateStart": "2019-07-03T13:43:58.602Z",
"dateEnd": "2019-07-03T13:44:01.463Z",
"videoResolution": {
"w": 1280,
"h": 720
}
}
*/
express.get('/recording/:id', (req, res) => {
dbManager.getRecording(req.params.id).then((recordingData) => {
res.json(recordingData);
});
});
/**
* @api {delete} /recording/:id Delete recording
* @apiName Delete recording
* @apiGroup Recording
*
* @apiDescription Delete recording
*
* @apiParam {String} id Recording id (id field of /recordings)
*
* @apiSuccessExample Success-Response:
* HTTP/1.1 200 OK
*/
express.delete('/recording/:id', (req, res) => {
dbManager.deleteRecording(req.params.id).then(() => {
res.sendStatus(200);
});
});
/**
* @api {get} /recording/:id/counter Counter data
* @apiName Counter data
* @apiGroup Recording
*
* @apiDescription Get counter data for a specific recording
*
* @apiParam {String} id Recording id (id field of GET /recordings)
*
* @apiSuccess {String} id recordingId you will use to fetch more data on a specific recording
* @apiSuccess {String} dateStart recording start date
* @apiSuccess {String} dateEnd recording end date
* @apiSuccess {Object} areas Areas defined in this recording (see Counter -> Get areas for documentation)
* @apiSuccess {Object} counterSummary For each area, nb items counted
* @apiSuccess {Object} trackerSummary Total tracked items for all the recording
* @apiSuccess {Object} counterHistory Details of all items that have been counted
*
* @apiSuccessExample {json} Success Response:
* [
{
"_id": "5cc3400252340f451cd7397a",
"dateStart": "2019-04-26T17:29:38.190Z",
"dateEnd": "2019-04-26T17:32:14.563Z",
"areas": {
"94afa4f8-1d24-4011-a481-ad3036e959b4": {
"color": "yellow",
"location": {
"point1": {
"x": 241,
"y": 549
},
"point2": {
"x": 820,
"y": 513
},
"refResolution": {
"w": 1280,
"h": 666
}
},
"name": "test",
"computed": {
"a": 0.06721747654390149,
"b": -609.7129253605938,
"lineBearings": [
151.14243038407085,
331.14243038407085
]
}
}
},
"counterSummary": {
"94afa4f8-1d24-4011-a481-ad3036e959b4": {
"car": 111,
"_total": 111
}
},
"trackerSummary": {
"totalItemsTracked": 566
},
"counterHistory": [
[
{
"timestamp": "2019-04-26T17:29:38.811Z",
"area": "94afa4f8-1d24-4011-a481-ad3036e959b4",
"name": "car",
"id": 1021
"bearing": 155,
"countingDirection": "rightleft_bottomtop"
}
],
[
{
"timestamp": "2019-04-26T17:29:40.338Z",
"area": "94afa4f8-1d24-4011-a481-ad3036e959b4",
"name": "car",
"id": 1030,
"bearing": 155,
"countingDirection": "rightleft_bottomtop"
}
]
}
]
*/
express.get('/recording/:id/counter', (req, res) => {
dbManager.getCounterHistoryOfRecording(req.params.id).then((counterData) => {
if (Object.keys(counterData).length === 0) {
res.sendStatus(404);
return;
}
res.setHeader('Content-Type', 'application/json');
const startDate = counterData.dateStart.toISOString().split('T')[0];
const fileName = `counterData-${startDate}-${req.params.id}.json`;
res.setHeader('Content-disposition', `attachment; filename=${fileName}`);
res.json(counterData);
}).catch((reason) => {
console.log('Getting counter records failed');
console.log(reason);
res.sendStatus(500);
});
});
/**
* @api {get} /recording/:id/counter/csv Counter history (CSV)
* @apiName Counter history (CSV)
* @apiGroup Recording
*
* @apiDescription Get counter history data as CSV file
*
* @apiParam {String} id Recording id (id field of /recordings)
*
* @apiSuccessExample {csv} Success Response:
* "Timestamp","Counter area","ObjectClass","UniqueID","CountingDirection"
* "2019-05-02T19:10:22.150Z","blabla","car",4096,"rightleft_bottomtop"
"2019-05-02T19:10:23.658Z","truc","car",4109,"rightleft_bottomtop"
"2019-05-02T19:10:26.728Z","truc","car",4126,"rightleft_bottomtop"
"2019-05-02T19:10:26.939Z","blabla","car",4099,"leftright_topbottom"
"2019-05-02T19:10:28.997Z","test","car",4038,"leftright_topbottom"
"2019-05-02T19:10:29.495Z","blabla","car",4135,"rightleft_bottomtop"
"2019-05-02T19:10:29.852Z","truc","car",4122,"rightleft_bottomtop"
"2019-05-02T19:10:32.070Z","blabla","car",4134,"rightleft_bottomtop"
"2019-05-02T19:10:34.144Z","truc","car",4151,"rightleft_bottomtop"
"2019-05-02T19:10:36.925Z","truc","car",4156,"rightleft_bottomtop"
*/
express.get('/recording/:id/counter/csv', (req, res) => {
dbManager.getCounterHistoryOfRecording(req.params.id).then((counterData) => {
let data = counterData.counterHistory;
if (data) {
// Flatten
data = flatten(data);
// Map counting area name
data = data.map((countedItem) => {
const ret = {
...countedItem,
timestamp: countedItem.timestamp.toISOString(),
area: counterData.areas[countedItem.area].name,
};
// Adds GPS export fields to CSV
if (isGpsEnabled) {
// Links
const isExportOsmLink = config.GPS && config.GPS.csvExportOpenStreetMapsUrl === true;
if (isExportOsmLink) {
const isLatLonPresent = countedItem.lat !== null && countedItem.lon !== null;
if (isLatLonPresent) {
ret.link = `https://www.openstreetmap.org/?mlat=${countedItem.lat}&mlon=${countedItem.lon}#map=19/${countedItem.lat}/${countedItem.lon}`;
} else {
ret.link = null;
}
}
// Timestamp
const isGpsTimestampPresent = countedItem.gpsTimestamp !== null;
if (isGpsTimestampPresent) {
ret.gpsTimestamp = countedItem.gpsTimestamp.toISOString();
}
}
return ret;
});
} else {
data = [];
}
console.log(`Exporting ${req.params.id} counter history to CSV`);
const startDate = counterData.dateStart.toISOString().split('T')[0];
const fileName = `counterData-${startDate}-${req.params.id}.csv`;
res.csv(data, true, { 'Content-disposition': `attachment; filename=${fileName}` });
});
});
/**
* @api {get} /status Status
* @apiName Status
* @apiGroup Helper
*
* @apiDescription Return opendatacam status (isRecording, recordingId etc etc)
*
* @apiSuccessExample {json} Success Response:
*
* {
"counterSummary": {
"22d35d27-7d73-4f54-a99c-a3391f5c1c46": {
"_total": 4,
"car": 4
}
},
"trackerSummary": {
"totalItemsTracked": 201
},
"videoResolution": {
"w": 1280,
"h": 720
},
"appState": {
"yoloStatus": {
"isStarting": true,
"isStarted": false
},
"isListeningToYOLO": true,
"recordingStatus": {
"isRecording": true,
"currentFPS": 29,
"recordingId": "5cf6bf29d19529238c17affb",
"dateStarted": "2019-06-04T18:57:45.169Z"
}
}
}
*/
express.get('/status', (req, res) => {
res.json(Opendatacam.getStatus());
});
/**
* @api {get} /config Config
* @apiName Config
* @apiGroup Helper
*
* @apiDescription Get config.json content loaded by Opendatacam
*
* @apiSuccessExample {json} Success Response:
* {
"OPENDATACAM_VERSION": "3.0.2",
"PATH_TO_YOLO_DARKNET": "/darknet",
"VIDEO_INPUT": "TO_REPLACE_VIDEO_INPUT",
"NEURAL_NETWORK": "TO_REPLACE_NEURAL_NETWORK",
"VIDEO_INPUTS_PARAMS": {
"file": "opendatacam_videos/demo.mp4",
"usbcam": "v4l2src device=/dev/video0 ! video/x-raw, framerate=30/1, width=640, height=360 ! videoconvert ! appsink",
"experimental_raspberrycam_docker": "v4l2src device=/dev/video2 ! video/x-raw, framerate=30/1, width=640, height=360 ! videoconvert ! appsink",
"raspberrycam_no_docker": "nvarguscamerasrc ! video/x-raw(memory:NVMM),width=1280, height=720, framerate=30/1, format=NV12 ! nvvidconv ! video/x-raw, format=BGRx, width=640, height=360 ! videoconvert ! video/x-raw, format=BGR ! appsink",
"remote_cam": "YOUR IP CAM STREAM (can be .m3u8, MJPEG ...), anything supported by opencv"
},
"VALID_CLASSES": [
"*"
],
"DISPLAY_CLASSES": [
{
"class": "bicycle",