Dear Magic Lantern developers,
I'm a researcher currently doing work to increase autofocus speed and accuracy. I'm looking at using ML to test the algorithm and I'd like to know which of the following are possible, if any, by writing a script or modifying the ML code and recompiling :
1) Make the lens take a small, medium or large step forward (to far focus) or backwards (to near focus).
2) Determine the exact number of lens positions on a lens for focusing.
3) Determine the exact position of the lens in terms of focus, in number of lens steps.
4) If possible to move the lens, determine whether we've reached the last lens position.
5) Obtain an image from the liveview and computing something such as the histogram in real-time.
Your assistance is greatly appreciated.
I'm a researcher currently doing work to increase autofocus speed and accuracy. I'm looking at using ML to test the algorithm and I'd like to know which of the following are possible, if any, by writing a script or modifying the ML code and recompiling :
1) Make the lens take a small, medium or large step forward (to far focus) or backwards (to near focus).
2) Determine the exact number of lens positions on a lens for focusing.
3) Determine the exact position of the lens in terms of focus, in number of lens steps.
4) If possible to move the lens, determine whether we've reached the last lens position.
5) Obtain an image from the liveview and computing something such as the histogram in real-time.
Your assistance is greatly appreciated.