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Added a prospective (future) memory trainer for MILD. Every morning, you receive a list of specific targets to look out for during your day. You then memorize the day’s targets, hide the list, and aim to remember to carry out the future intention of capturing the targets. Once you encounter one of the targets, you snap a picture and perform a state test (like asking yourself, “Am I dreaming?”) to earn XP.

Limited the REM detection to the face region when a classifier is selected.
Added options to rotate and flip the video feed.
Made the process DPI aware to handle screens that are scaled above 100%.
Added volume control for audio on RTSP feeds from security cameras.
Muted the audio on RTSP feeds from security cameras.
Added live feedback for face-detection and a smart mirror. When face-detection is enabled, the algorithm only looks for variances inside the face region to rule out false positives.

Increased the feedback range.


