-pixel sizes for video and thumbnails are now configurable
-the amount of recording and snapshot threads are now
configurable
-changed the default buffer and recording directories to
drop the application name and also drop a level
-service files are now stored in a dedicated dir
-fixed logging so it will capture errors better
-moved folder structure building to rdConfig() and added more
error capturing
-recording fps is now configurable
-removed the web interface. this project will instead continue to
focus on backend operations. external applications can interface
with the buf/rec directories to provide frontend operations.
-removed the magick binary file from the project. magick will
instead be built from source on the target machine for maximum
support for the target architecture.
-stream codec and format are now user configurable.
-recording thumbnail and video formats are now user configurable.
-added a dely to DetectLoop after a positive motion detection to
prevent motion event overlap.
-moved the 2 image diff pair compair to proper "end of array" in
DetectLoop.
-increased the size of the image stream so queded up events will
be able generate thumbnails properly.
-cleaned off a bunch of unused parameters in the code.
-adjusted the default motion sensitivity after real world
testing.
-added libfuse-dev to setup.sh since imagemagic needs that to
operate.
The Qt approach to grabbing frames from the live stream was also
a failure.
- decided to switch to a combination ffmpeg and imagemagic was
external commands to do motion detection. this approach
elimates the need for opencv altogeather so it was removed
from the project. system resource usage appears to be decent
and perhaps better than opencv.
I'm going to test a move away from opencv's videoio module.
Videoio simply refuses to open any video file even with
FFMPEG builtin. I tested old v2.2 code and even that failed
on a fresh install of ubuntu sever so this tells me an
update on opencv's side broke something.
This issue is not new and frankly I'm tired of chasing it.
I'm giving QT's QMediaPlayer a try to see how it works out.
Will still need opencv for the absdiff and threshold
functions, otherwise I would have dropped the API
altogeather.
Now that the app has QT::Multimedia, QT6 is now the minimum
version it will support. CMakeList.txt and the setup script
updated accordingly.
Completely re-written the project to use the QT API. By using Qt,
I've open up use of useful tools like QCryptographicHash, QString,
QByteArray, QFile, etc.. In the future I could even make use of
slots/signals. The code is also in general much more readable and
thread management is by far much easier.
General operation of the app should be the same, this commit just
serves as a base for the migration over to QT.
Completely reformed the internal workings of the application code. I
brought back multi-threaded functions so there is now 5 separate threads
for different tasks.
recLoop() - this function calls ffmpeg to begin recording footage from
the defined camera and stores the footage in hls format. It is designed
to keep running for as long as the application is running and if it does
stop for whatever reason, it will attempt to auto re-start.
upkeep() - this function does regular cleanup and enforcement of maxDays
maxLogSize and maxEvents without the need to stop recording or detecting
motion.
detectMo() - this function reads directly from recLoop's hls output and
list all footage that has motion in it. motion detection no longer has
to wait for the clip to finish recording thanks to the use of .ts
containers for the video clips. this makes the motion detection for less
cpu intensive now that it will now operate at the camera's fps (slower).
eventLoop() - this function reads the motion list from detectMo and
copies the footage pointed out by the list to an events folder, also in
hls format.
schLoop() - this function runs an optional user defined external command
every amount of seconds defined in sch_sec. this command temporary stops
motion detection without actually terminating the thread. It will also
not run the command at the scheduled time if motion was detected.
Benefits to this reform:
- far less cpu intensive operation
- multi-threaded architecture for better asynchronous operation
- it has support for live streaming now that hls is being used
- a buff_dir is no longer necessary
Added the ability change the video codec via the config file.
Changed the install script to now install the application in the /opt
directory and then symm link to /usr/bin. Doing this allowed me to
create a run script to start the application and enable the
OPENCV_VIDEOIO_DEBUG parameter for opencv. This should make it easier to
diagnose video-io issues with opencv.
Updated the README documentation with all of the changes done to the
application since v1.5.
Turned off caching for all web interface pages. Opencv will no longer be
compiled from source as part the setup.sh script, instead the
libopencv-dev package will be installed.
Moved logging out of it's own loop, hopefully this fixes the issue with
it not outputting all log lines. recLoop() and detectLoop() will now
update logs synchronously.
The setup.sh script will now include gstreamer and pkg-config. This
should help fix opencv video-io format support.
Decided to switch using opencv's builtin pixel diff motion detection via
absdiff and thresh. Doing this should increase efficiency instead of
using the home brewed pixel loops and threads.
Added a web interface of sorts by having html files output along with
the video clips. These files are designed to link together with the
assumption that the output directory is a web root like /var/www/html
that apache2 uses. The interface is crude at best but at least allow
playback of recorded footage.
Added max_clips config variable that can limit the amount of motion
events that can recorded to storage on a single day.
added object detection code base on yolov5 machine vision model. also
added a stat file so motion and object detection values can be monitored
in real time if used with the 'watch' command.
created setup, build and install scripts to make it easier and
convenient to compile and install the application from source. no plans
distribute pre-compiled binaries because it's just so much easier to
guarantee the application will actually work in the target machine when
compiled by the target machine.