harmen Posted January 29, 2022 Share #21 Posted January 29, 2022 Advertisement (gone after registration) On 1/28/2022 at 12:12 PM, Tailwagger said: What the algorithm would see as relevant in the image for providing the answer who knows. In all likelihood, we'd be surprised by the attributes it sees as crucial. But thats the magic... and irritation... of ML. An ML approach like you describe here, looking at an entire image in detail, may well consider depth of field. Link to post Share on other sites More sharing options...
Advertisement Posted January 29, 2022 Posted January 29, 2022 Hi harmen, Take a look here Brick Wall Test with strange aperture results. I'm sure you'll find what you were looking for!
Tailwagger Posted January 29, 2022 Share #22 Posted January 29, 2022 3 hours ago, harmen said: An ML approach like you describe here, looking at an entire image in detail, may well consider depth of field. That was my thought as well, which is why I hinted that you'd likely need to know focal length. 1 Link to post Share on other sites More sharing options...
scott kirkpatrick Posted January 29, 2022 Share #23 Posted January 29, 2022 Adan's point about the experiment in which you cover the brightness sensor with a fingertip reminds me -- It 's also a way to see if the firmware for a new model M is still incomplete. When you cover the brightness sensor, the aperture reported should be the maximum opening for that lens, and there is a field in the firmware for that information. I've seen some very strange things come up, like apertures of 0.0 or 1.0 for lenses that are not that fast. Link to post Share on other sites More sharing options...
Recommended Posts
Create an account or sign in to comment
You need to be a member in order to leave a comment
Create an account
Sign up for a new account in our community. It's easy!
Register a new accountSign in
Already have an account? Sign in here.
Sign In Now