removed all threads from the application as there is no used for them at
at this time. instead, the application will now operate on a single
event loop and now directly utilize use ffmpeg to record video footage
instead of opencv's implementation.
old code pulled tons of frames the detection stream at full speed,
wasting a lot of cpu cycles. instead it will now pull frames in a steady
speed at the new detect_fps value. doing this significantly reduced cpu
usage and can potentially further reduce cpu usage for end users by
pulling the fps value lower then the default.
The app will now count the amount of secs to record post motion
detection instead of the amount of frames. Split the main loop timer
with the motion timer in separate threads to make that happen. The
parameter was added to the config file.
Recording fps is now adjustable.
decided to change frame comparison functions again from optical flow to
a home brewed function that compares gray levels in the pixels of each
frame. significant differences in gray levels between the frames can
potentially trigger a motion event.
also moved away command line arguments to an external config file to set
app parameters.
created a README file to get this project ready for general open source
release.
