fplyr VS motion

I created adult entertainment apps to organize and have fun with images and videos:

- RuGiVi: https://github.com/pronopython/rugivi - Browse your collection of images on an endless screen. Tested with more than 700.000 images at once!

- Fapel System: https://github.com/pronopython/fapel-system - Organize your adult images and videos by just using hardlinks and directories.

- TopZemen: https://github.com/pronopython/topzemen - Let the images float on your screen or rain down next to your browser window.

- Fplyr: https://github.com/pronopython/fplyr - An audio player to play moaning sounds in the background.

Everything for Ubuntu Linux and in parts also for Windows!

Image and Media organizers running on databases were not applicable for me. The were not portable enough and their categorization always relied on their database so no chance the file manager or another program worked with it. Also I always had the problem with backups, renaming files outside the database-system etc etc. Regarding the sensitivity of the (adult) content, I also did not want to be dependable on big companies and their software.

https://github.com/pronopython/fplyr

Fplyr is a background audio sample and music player specialized in playing moaning sounds and relaxing music for adult entertainment purpose.

https://github.com/trypromptly/LLMStack - started working on this as a wrapper over OpenAI's endpoints for another product and it gradually became this.

Another project I worked on for my own use was a network isolated, lightweight video monitoring system. Around 5 years ago, I was looking to install a camera in our living room. I couldn't find anything I trusted that worked completely offline without some companion app pinging their servers. So I bought a basic IP camera on Amazon that supports rtsp and a raspberry pi. Created a fenced wifi network and added the camera to it.

Had an FFmpeg process read camera stream on demand and write to local buffers. Wrote a simple python server to listen for incoming connections on a different interface and stream the video on API requests. Then built an android app that talks to the python server to stream video on demand.

Also installed motion (https://github.com/Motion-Project/motion) on raspberry pi to detect motion in the video and store those snippets to local storage. With motion running, the adapter I was using wasn't delivering enough power resulting in storage occasionally unmounting and raspberry pi restarting taking the camera system offline. With motion detection disabled, the entire setup ran reliably for many years.

We used https://github.com/Motion-Project/motion for crude version of that in our office closet datacenter.

It just detected movement, sent an email with video file attached and a link to stream.

No face detect AI but this is ancient software, and minimum effort to set up

MotionEyeOS

I had a similar setup to see what my pet hedgehog was getting up to at night and I used motion to do motion detection on the stream and save videos when it happened. I think you can also set a script to run whenever motion is detected. Might be worth looking into.

I use Motion for my security camera... it only records motion if you want it to: https://github.com/Motion-Project/motion...

apt-get install ffmpeg libmariadb3 libpq5 libmicrohttpd12 wget https://github.com/Motion-Project/motion/releases/download/release-4.3.2/buster_motion_4.3.2-1_arm64.deb dpkg -i buster_motion_4.3.2-1_arm64.deb

You might consider Motion. It's reliable and uses little resources. It comes with a browser UI.