Hello,
I took an interest in ML a couple of years back, when I wanted to automate the process of shooting solar eclipses. At the time it looked like ML with PicoC scripting was going to provide everything I could wish for, but my 5Dc wasn't supported because of a lack of memory, if I remember correctly. So instead I hard-coded an exposure sequence to work along with the intervalometer and compiled it for the 5Dc.
Now that I've decided to with 5D mkIIs it looks like both PicoC and TCC have been abandoned completely(?). Any hope of a resurrection of this feature, or is the module approach the only way forward? Has anyone made a simple example module based on a timer and a preset or calculated exposure sequence?
Or if there are still pre-compiled versions of ML with PicoC support out there, could someone point me in the right direction, please?
Any ideas or pointers appreciated!
And thanks for all the effort that has went into ML!
Totte
(PS! I am able to compile the current Unified code (except for some documentation issues) and I am prepared to hard-code my exposure sequence again if I have to, but although it gets the job done it doesn't exactly seem like the right way to go about it.)
I took an interest in ML a couple of years back, when I wanted to automate the process of shooting solar eclipses. At the time it looked like ML with PicoC scripting was going to provide everything I could wish for, but my 5Dc wasn't supported because of a lack of memory, if I remember correctly. So instead I hard-coded an exposure sequence to work along with the intervalometer and compiled it for the 5Dc.
Now that I've decided to with 5D mkIIs it looks like both PicoC and TCC have been abandoned completely(?). Any hope of a resurrection of this feature, or is the module approach the only way forward? Has anyone made a simple example module based on a timer and a preset or calculated exposure sequence?
Or if there are still pre-compiled versions of ML with PicoC support out there, could someone point me in the right direction, please?
Any ideas or pointers appreciated!
And thanks for all the effort that has went into ML!
Totte
(PS! I am able to compile the current Unified code (except for some documentation issues) and I am prepared to hard-code my exposure sequence again if I have to, but although it gets the job done it doesn't exactly seem like the right way to go about it.)