Inline the model weights instead of fetching them from a Google
remote location at runtime. The weights do not update frequently, so
inlining removes an external dependency.
Following the ProConnect documentation leads to inlining almost 40ko of
SVG assets in the JS bundle. Moreover, each SVG asset (around 20ko) is
not optimized in size.
As the ProConnect button is loaded in the main index.js chunk at app
launch, these few Ko are critical.
Optimize index.js by 40ko and preload the hovered variant to avoid any
blink on hover.
Could be further optimized by handling the button background with CSS,
but leaving that as an improvement for later.
When the PiP window is active, replace the corresponding content
in the main window with a lightweight placeholder. This avoids
rendering the camera feed (and other expensive media) twice when
the user is only watching the PiP window.
Co-authored-by: Cyril <c.gromoff@gmail.com>
Add extensive list of favicon formats and sizes to resolve display
issues specifically affecting Safari browser, ensuring proper icon rendering
across all devices and platforms.
Introduce guided permissions dialog to help users understand and
resolve camera/microphone access issues step-by-step.
Addresses common user support requests where users cannot enable their
hardware and don't understand the permission requirements. Provides
clear instructions to reduce confusion and support burden.
Image was quickly prototyped. It will be updated later on.
Create DINUM-specific frontend build from generic white-label base to
validate recent white-labeling work. Sources will eventually be extracted
to separate repo and pulled as submodule.
This shouldn't have been in the repo really. Instead of this, add some
css classes, that kinda act as hooks for people using a custom css file
(for example, DINUM) in case they need to
Replace UTF character-based emoji with custom image assets designed by our
UX/UI team. Enhances cross-platform compatibility of reactions that were
previously inconsistent between operating systems. Specifically addresses
issue where emoji sent from Mac weren't properly displayed on all client
systems.
Enhanced the FaceLandmarksProcessor to include
a new 'french' effect, allowing users to add
a beret image to detected faces. Updated the
EffectsConfiguration component to toggle this
effect and modified localization files to
reflect the change from 'mustache' to 'french'.
Added functionality to display mustache effects
on detected faces. Enhanced the EffectsConfiguration
component to toggle these effects and updated
localization files for this effects.
Added functionality to draw glasses on detected
faces by calculating eye positions and scaling
the glasses image accordingly. Initialized glasses
image in the constructor for improved visual
effects during face tracking.
Based on Florian and Stéphanie feedbacks, add the 'Marianne' logo,
and a beta tag on our visio's logo.
I've slightly updated the header. Its responsive is broken in certain
situations.
lebaudantoine