mnemosyne VS lossless-cut

I wonder if there is plan for this to land in Mnemosyne[1]. I prefer Mnemosyne over Anki because I can self-host the web-sync server.

1: https://mnemosyne-proj.org/

I have tried using spaced repetition with Mnemosyne for math, specifically for learning Category Theory. It did help. Spaced repetition seems to work better for me if the answers to the questions are short (like learning Spanish vocabulary). When doing math, you often want to remember an entire definition, which might be too long to use spaced repetition flash cards effectively.

I've had good luck with spaced repetition using mnemosyne for lots of other stuff but haven't tried it for knots yet

Also, take the time to learn everyone's name and face. I use a flash card program like Mnemosyne to copy people's photos from the corporate directory. Learn them all the first week or even in the first couple of days.

https://mnemosyne-proj.org/ use this, make every relevant term a flash card and event a flash card. It takes forever to populate, but you learn on entry in addition to “study”.

[15] https://mnemosyne-proj.org/ - OS alternative to Anki

Anki is a spaced-repetition system based on Mnemosyne for studying flashcards in such a way that optimally loads facts into and maintains them in long-term memory. During daily study sessions, Anki shows flash cards, and you self-rate your ability to recall each correct answer. You review easier cards on a maintenance schedule, and Anki schedules the ones you have trouble with more frequently.

Some time ago I saw several posts about a machine learning based scheduler for Anki. There is another project known as mnemosyne that conducts research into long term learning. Do you want similar changes to Anki's scheduler?

For lossless cut, there's the LosslessCut [1] app, which even has an experimental but mostly working version of a "smart cut" feature [2] (aka. only re-encode the minimal mandatory amount of frames if you trim at a point between 2 key frames)

[1]: https://github.com/mifi/lossless-cut

[2]: https://github.com/mifi/lossless-cut/issues/126

> thought I cropped/edited a video, it is still there in full length and resolution

It's been possible to create a clip from a video file that merely changes what parts of the video are displayed without effecting the data in the original since the Classic Mac OS days.

If you want to completely remove unwanted portions of a video to reduce the size without a loss of quality, there are many options. LosslessCut is one option that is both free and open source.

https://github.com/mifi/lossless-cut

LosslessCut

Lossless Cut is probably the simplest way to cut out parts of a video without having to re-encode it or use an online service. It is open source, free and available for all platforms. It is in essence a frontend for FFMPEG and cuts without re-encoding, so the results are instantaneous.

Additionally I would like if possible to shorten (both to reduce dimension and to make them less boring) my videos by trimming the beginning and/or ends where often there is nothing interesting happening and possibly change the thumbnails for easier identification. Do you know of any tool that does the job with the minimum quality degradation possible? Many years ago I've tried with some videos and a tool I don't remember anymore, ending up with a bunch of corrupted files :( I've found https://github.com/mifi/lossless-cut for the point above.. need to try it. please let me know what experience you have with it.

Lossless Cut would probably be a better choice for this. Will let you cut out the commercials without having to re-encode the video.

>Of course, you could only re-encode only the GoPs that get broken while keeping the rest intact, and I guess this would be better and a lot faster than re-encoding everything. I don't know if any application tries to do this.

LosslessCut does have experimental support for this partial re-encode called "smart cut" [1]. Since it's using ffmpeg internally, the challenge become how to instruct ffmpeg to do this[2]?

[1]: https://github.com/mifi/lossless-cut/issues/126