* Initial implementation; Happy flow
* Maybe revert this
* Functional prototype
* feat(facial-expressions): get stream when changing background effect and use presenter effect with camera
* add(facial-expressions): array that stores the expressions durin the meeting
* refactor(facial-expressions): capture imagebitmap from stream with imagecapture api
* add(speaker-stats): expression label
* fix(facial-expression): expression store
* revert: expression leabel on speaker stats
* add(facial-expressions): broadcast of expression when it changes
* feat: facial expression handling on prosody
* fix(facial-expressions): get the right track when opening and closing camera
* add(speaker-stats): facial expression column
* fix(facial-expressions): allow to start facial recognition only after joining conference
* fix(mod_speakerstats_component): storing last emotion in speaker stats component and sending it
* chore(facial-expressions): change detection from 2000ms to 1000ms
* add(facial-expressions): send expression to server when there is only one participant
* feat(facial-expressions): store expresions as a timeline
* feat(mod_speakerstats_component): store facial expresions as a timeline
* fix(facial-expressions): stop facial recognition only when muting video track
* fix(facial-expressions): presenter mode get right track to detect face
* add: polyfils for image capture for firefox and safari
* refactor(facial-expressions): store expressions by counting them in a map
* chore(facial-expressions): remove manually assigning the backend for tenserflowjs
* feat(facial-expressions): move face-api from main thread to web worker
* fix(facial-expressions): make feature work on firefox and safari
* feat(facial-expressions): camera time tracker
* feat(facial-expressions): camera time tracker in prosody
* add(facial-expressions): expressions time as TimeElapsed object in speaker stats
* fix(facial-expresions): lower the frequency of detection when tf uses cpu backend
* add(facial-expressions): duration to the expression and send it with durantion when it is done
* fix(facial-expressions): prosody speaker stats covert fro string to number and bool values set by xmpp
* refactor(facial-expressions): change expressions labels from text to emoji
* refactor(facial-expressions): remove camera time tracker
* add(facial-expressions): detection time interval
* chore(facial-expressions): add docs and minor refactor of the code
* refactor(facial-expressions): put timeout in worker and remove set interval in main thread
* feat(facial-expressions): disable feature in the config
* add(facial-expressions): tooltips of labels in speaker stats
* refactor(facial-expressions): send facial expressions function and remove some unused functions and console logs
* refactor(facial-expressions): rename action type when a change is done to the track by the virtual backgrounds to be used in facial expressions middleware
* chore(facial-expressions): order imports and format some code
* fix(facial-expressions): rebase issues with newer master
* fix(facial-expressions): package-lock.json
* fix(facial-expression): add commented default value of disableFacialRecognition flag and short description
* fix(facial-expressions): change disableFacialRecognition to enableFacialRecognition flag in config
* fix: resources load-test package-lock.json
* fix(facial-expressions): set and get facial expressions only if facial recognition enabled
* add: facial recognition resources folder in .eslintignore
* chore: package-lock update
* fix: package-lock.json
* fix(facial-expressions): gpu memory leak in the web worker
* fix(facial-expressions): set cpu time interval for detection to 6000ms
* chore(speaker-stats): fix indentation
* chore(facial-expressions): remove empty lines between comments and type declarations
* fix(facial-expressions): remove camera timetracker
* fix(facial-expressions): remove facialRecognitionAllowed flag
* fix(facial-expressions): remove sending interval time to worker
* refactor(facial-expression): middleware
* fix(facial-expression): end tensor scope after setting backend
* fix(facial-expressions): sending info back to worker only on facial expression message
* fix: lint errors
* refactor(facial-expressions): bundle web worker using webpack
* fix: deploy-facial-expressions command in makefile
* chore: fix load test package-lock.json and package.json
* chore: sync package-lock.json
Co-authored-by: Mihai-Andrei Uscat <mihai.uscat@8x8.com>
The majority of the code is in the WASM file and models, this is just a few KB.
It's so little, in fact, that the performance hint for the main bundle didn't
have to be adjusted.
Saúl Ibarra Corretgé
Gabriel Borlea
Tudor D. Pop
tudordan7