Hello.
In my case, I need to find the edges of an object with high resolution and accuracy. Light objects on a dark background. The lighting is white. So there will be a lot of red, green and blue in the photo.
I don't care about the exact color of the object. But dynamic range is also important.
I decided that interpreting (not converting) the quad bayer raw as a gray scale with optical fidelity would be the solution.
I think that the usual conversion from quad bayer -> bayer -> rgb degrades the resolution accuracy.
How can I make such an interpretation if I have
In my case, I need to find the edges of an object with high resolution and accuracy. Light objects on a dark background. The lighting is white. So there will be a lot of red, green and blue in the photo.
I don't care about the exact color of the object. But dynamic range is also important.
I decided that interpreting (not converting) the quad bayer raw as a gray scale with optical fidelity would be the solution.
I think that the usual conversion from quad bayer -> bayer -> rgb degrades the resolution accuracy.
How can I make such an interpretation if I have
from the 708 sensor for opencv?request.make_array('raw ')
Statistics: Posted by Oval — Sun Jun 09, 2024 6:03 pm — Replies 1 — Views 48