Hi,
i did some updates to the Docker images, please find the list below:
- Implement
precise-liteplugin from OpenVoiceOS, fooprint ofmycroft_voicecontainer reduced by 50% for CPU [1], memory [2] and fastest wakeword detection - Usage of
tmpfsfor/tmp/mycroftto reduce IO activity on the disk (mostly useful for Raspberry PI and it’s SD card), overall IOPS on the Raspberry Pi have been reduced by 50% [3] - Reduce the Docker volume usage to
mycroft_skill*only - Use of environment files (
.env*) withdocker-composeto simplify the usage and the configuration of it numpyPython library has been integrated to themycroft_baseimage because it is now used bymycroft_voiceandmycroft_skillscontainers. This speedup a lot the starting process after the pairing by not having to compile the library (especially on a Raspberry Pi…
)- Documentation updates

[1] CPU usage for mycroft_voice container (6 hours sample):
[2] Memory usage for mycroft_voice container (6 hours sample):
[3] Disk IOPS usage for on the whole Raspberry Pi (24 hours sample):

Let me know if you got any issues. ![]()

