Hi to all,
I often used ML for photography stuffs but now i have a particular programming challenge. I am a computer engineering and I am evolved in a project: Understand the possibile ways to create a fake shoots and photos from a general reflex.
In order to do that, i would like to insert a "Homemade" raw file (or DNG, easier i think) in which i know the structure and the main details which i'm interested in, and see the changes applied by the camera at the final step. If i shoot a picture i cannot know so much information about the raw data and i'm not able to reconstruct the entire process. The idea is to insert (from software) a known file in the workflow into the first-as-possible step after acquisition of the scene. Then start the normal process from there and evaluating the final result.
There's any ideas in order to understand how to manage low-level functions? LUA scripts are useful for this purpose or i should go deeply into the ML source code?
Thank you very much for any idea or helps
