I've scanned a few hundred images using an iPad as the light source. I've tried both a white screen and a bluish screen designed to basically invert the orange cast from the negative.
Both seem to work well. The bluish thing works quite well, but it turns out that different rolls need slightly different light color to compensate, so it wasn't worth the trouble. In the end the best result was buying a license for Negative Lab Pro[0] to post process everything
I think a statement like that merits a source. You mentioned tires being ablative. 30k miles of tires being worn off ~= few pounds of material vs 600 gallons of fuel (assuming a 50mpg ulev).
It checks a reference video against an encoded video and returns a score representing how close the encoded video appears to the original from a human perspective.
It asked specifically if they couldn't make payroll for the next 30 days
Also -- it's 30% of those who responded to the survey. So lots of startups could be banking with SVB and have not bothered to fill it out. Maybe those less likely to make payroll would be more likely to fill out the survey
Narrator (YC S19) is a library of expert-written data analyses that anyone can run instantly on top of their data.
Our stack is Python and React.
We're looking for a senior data engineer and senior software engineer (preferably with frontend experience) to continue to build out our unique data platform.
Both seem to work well. The bluish thing works quite well, but it turns out that different rolls need slightly different light color to compensate, so it wasn't worth the trouble. In the end the best result was buying a license for Negative Lab Pro[0] to post process everything
[0]: https://www.negativelabpro.com/