Is it possible to change the 60s wait for uninstalling ML from a 5D3 1.2.3?
I regularly use an EyeFi card for certain jobs and to get it to work I need to uninstall ML to remove the bootflag. I've read up on why the EyeFi cards dont work with ML and removing ML when I want to use it isn't a huge issue for me, but the 60s wait to uninstall is far longer than I really need. It'd make things a HUGE amount more convenient if I could change that value to say 10-15s. Can it be done?
Thanks in advance!
Older installer (2015Apr28 and before) has a 30-second timeout (you can just swap the FIR).
BTW, we now might be able to find out why ML is not starting with certain Eye-Fi cards. If you have such card, with any ML-enabled camera with SD card slot (not SD to CF adapter), please follow this procedure (https://bitbucket.org/hudson/magic-lantern/src/qemu/contrib/qemu/README.rst?fileviewer=file-view-default#rst-header-running-from-the-physical-sd-cf-card) and report back.
When reading the warnings from the guide, in this particular case you may assume "absolutely needed" is true (as the issue is probably hard to reproduce from a SD image).
Eye-Fi mobi 8GB working without problems in 650D.
Quote from: a1ex on March 02, 2018, 02:36:20 PM
Older installer (2015Apr28 and before) has a 30-second timeout (you can just swap the FIR).
That's awesome - works perfectly. Thanks!
Quote from: a1ex on March 02, 2018, 02:36:20 PM
BTW, we now might be able to find out why ML is not starting with certain Eye-Fi cards. If you have such card, with any ML-enabled camera with SD card slot (not SD to CF adapter), please follow this procedure (https://bitbucket.org/hudson/magic-lantern/src/qemu/contrib/qemu/README.rst?fileviewer=file-view-default#rst-header-running-from-the-physical-sd-cf-card) and report back.
I've not played with QEMU before - but when I get time to work it out I'll give it a go.
Quote from: Walter Schulz on March 02, 2018, 02:50:39 PM
Eye-Fi mobi 8GB working without problems in 650D.
Some EyeFi's are fine - but the X2 models don't work with ML and that's exactly what I have!