This is mainly to give visual feedback to those affected by NVENC not
working with older driver versions. Currenlty obs fails silently which
could go unnoticed for users who are using hotkeys as well as confuse
users who are not trained to read their logs when issues occur.
Closesjp9000/obs-studio#788
When the OBS signal is triggered for these widgets, the invokeMethod
could cause the thread to stall, which could make it wait much longer
than necessary to output audio data. When that happens, it causes audio
monitoring to get backed up and get unnecessarily delayed, as well as
cause general audio buffering in libobs to increase unnecessarily.
A simple fix both in terms of preventing that stall and improving UI
performance is to not call invokeMethod to update the widget each time,
and then instead have those widgets update themselves via a timer at a
specific interval.
On linux, the main window isn't immediately set to a native widget, so
the call:
connect(windowHandle(), &QWindow::screenChanged, displayResize);
on line 189 will fail, causing the preview widget to not properly resize
when the main window is resized.
Closesjp9000/obs-studio#776
Fixes bug 617 on mantis. Scaling the source manually in the viewport
wouldn't work properly when the source is flipped horizontally or
vertically.
Closesjp9000/obs-studio#751
Prevents the program from unintentionally quitting if the program is
minimized to the task tray and the user closes all projectors
Closesjp9000/obs-studio#737
Fixes an issue where non-english debug text wouldn't display correctly
in the debugger output on windows. Also, only output debug text when
actually debugging.
Closesjp9000/obs-studio#734
streamEncoder.json and recordEncoder.json are missing. Thess files are
generated when the output mode is advanced, and the user modifies
encoder settings.
Closesjp9000/obs-studio#741
Allows generating captions via the windows speech recognition API
(SAPI).
This is currently marked as experimental due to speech recognition
technology still being less than ideal. Speech recognition technology
in general is probably never going to be anywhere near perfect.
Microsoft's speech recognition in particular requires a bit of training
via the windows speech recognition tool to ensure it can dictate better.
Clear speech with a good mic is recognized fairly well, but casual
speech and/or speaking with a poor microphone will have some significant
issues. Captions can often be way off when speaking casually rather
than with clear diction.
