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Bemovi, software for extracting BEhaviour and MOrphology from VIdeos
This project forked from pennekampster/bemovi
Bemovi, software for extracting BEhaviour and MOrphology from VIdeos
The running of the package requires a lot of reading and filtering of large tables. Therefore, y=the package data.table
is used.
But the filtering (and the formats of the results) would be faster and easier to port to different computers when a single database would be used. All the tables would be in the database, and the video files in the directory.
An sqlite database would be the easiest and also provide speed gain.
It seems that data.table is not thread safe, I,e, can not used in the context of parallel::mlclapply()
. This is another reason, to switch to an sqlite database as mentioned in #2
Using Rprof()
, I identified that the function text()
takes nearly 40% of the running time. Steps to do:
ffmpeg
with the filter draw text
https://ffmpeg.org/ffmpeg-filters.html#drawtext-1A declarative, efficient, and flexible JavaScript library for building user interfaces.
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