Interesting project! I scan 35mm and medium-format film with a mirrorless camera, macro lens, and Lomography film holder, then convert with Negative Lab Pro in Lightroom. I’m happy with the results, but the Lightroom subscription has me considering writing my own converter.
Could you share more about your NumPy pipeline, or publish the code? I’m particularly curious about how you use the blank film reference and roll-level measurements to handle the orange mask, color balance, and tone curves. Do you use camera/scanner calibration profiles or film-stock-specific adjustments, or estimate everything from the scans themselves?
Also, your screenshot appears to show an OpticFilm 7400. Would you recommend it, and roughly what did you pay? Have you tried camera scanning? I’ve been considering automating film advance and capture on my setup, but consistent color conversion is the part I’m least confident about.
Can you please not post AI-generated or AI-edited comments to HN? It's not allowed here - see <a href="https://news.ycombinator.com/newsguidelines.html#generated">https://news.ycombinator.com/newsguidelines.html#generated and <a href="https://news.ycombinator.com/item?id=47340079">https://news.ycombinator.com/item?id=47340079.
Of course, it's impossible to know for sure what was LLM processed or not, but some of your posts (like this one) have been getting classified that way.
For whatever it's worth: It's definitely phrased a bit strangely but it passes my own sniff test. If they really are using a dictation-oriented method for getting text into a box (as they wrote in a followup reply to themself) then that may adequately explain the strangeness.
There was a time when scanning and [photographic] printing of 35mm film negatives was what I did for a living; it's likely that I've touched more film than most people ever will. I think they're asking questions that are a good combination of solid, thoughtful, and practical.
It wasn't a generated comment at all! Read the comment, and then what the author wrote elsewhere saying they spoke it into their phone.
<a href="https://news.ycombinator.com/item?id=49948614">https://news.ycombinator.com/item?id=49948614
"To reiterate, those were legit questions. I used voice dictation to my phone, with an app that transcribed and formatted my message."
harassing a user for doing that is just unncessary and I dont't think it violates the site's guidelines. Further, the comment itself was high quality, and contributed to the discussion.
ravila4 · · focus · HN ↗
Could you share more about your NumPy pipeline, or publish the code? I’m particularly curious about how you use the blank film reference and roll-level measurements to handle the orange mask, color balance, and tone curves. Do you use camera/scanner calibration profiles or film-stock-specific adjustments, or estimate everything from the scans themselves?
Also, your screenshot appears to show an OpticFilm 7400. Would you recommend it, and roughly what did you pay? Have you tried camera scanning? I’ve been considering automating film advance and capture on my setup, but consistent color conversion is the part I’m least confident about.
dang · · focus · HN ↗
Of course, it's impossible to know for sure what was LLM processed or not, but some of your posts (like this one) have been getting classified that way.
ssl-3 · · focus · HN ↗
There was a time when scanning and [photographic] printing of 35mm film negatives was what I did for a living; it's likely that I've touched more film than most people ever will. I think they're asking questions that are a good combination of solid, thoughtful, and practical.
tptacek · · focus · HN ↗
dekhn · · focus · HN ↗
tptacek · · focus · HN ↗
dekhn · · focus · HN ↗
"To reiterate, those were legit questions. I used voice dictation to my phone, with an app that transcribed and formatted my message."
harassing a user for doing that is just unncessary and I dont't think it violates the site's guidelines. Further, the comment itself was high quality, and contributed to the discussion.
tptacek · · focus · HN ↗
akerl_ · · focus · HN ↗