24K views · Jun 2, 2021 · 41:07 · 4 HN recommenders · 7 mentions · discussed 2021–2024
Robert Erdmann, a materials scientist at the Rijksmuseum, gives a PyCon keynote on the ultra-high-resolution imaging of Rembrandt's Night Watch. He covers the automated gantry camera system, the Python software that drives it, and the large volumes of image data involved.
Why Hacker News points people here: HN commenters recommend it as a technically jaw-dropping talk, and it is the standard reference whenever the Night Watch gigapixel images come up.
“This was the first talk I immediately felt the urge to share with multiple co-workers & friends.”HN comment, 2021
“Fascinating talk with tones of technical details.”
Fascinating technical details of digitizing the Night Watch with Python.
Robert Erdmann also gave a keynote talk at PyCon US 2021 about how they used Python for most of digitization and processing of the Night Watch (aka Operation Night Watch). Fascinating talk with tones of technical details. Link: this video
“Incredible work being done there.”
Incredible imaging work on Rembrandt's Night Watch.
I can’t hear about the Rijksmuseum without thinking of the presentation Rob Erdmann did at Pycon on how they imaged Rembrandt’s Night Watch: this video Incredible work being done there. I’m glad to see they’re continuing to make headlines.
“This was the first talk I immediately felt the urge to share with multiple co-workers & friends.”
Technically jaw-dropping talk on Python for heritage imaging.
Robert Erdmann's keynote at PyCon: this video The talk centers around Erdmann's use of python in "combining materials science, computer science, and imaging science to help the world access, preserve, and understand its cultural heritage". The technical complexity and nuance that went into the project was truly jaw-dropping. This was the first talk I immediately felt the urge to share with multiple co-workers & friends.
“For anyone interested in technical aspects of this, I recommend watching Pycon talk”
Technical aspects of the Night Watch imaging.
For anyone interested in technical aspects of this, I recommend watching Pycon talk [1] from Robert Erdmann. I bookmarked this couple of years ago. [1] this video
“I gave a PyCon keynote [1] last year about how this was done.”
Author's own keynote on how the image was made.
Glad to see this getting exposure on HN. I gave a PyCon keynote [1] last year about how this was done. I've also put the image online in my own viewer [2], which has a few additional features: it encodes the viewing location in the URL and it allows for multi-pane synchronized views [3]. (Please be nice to my server.) I'm happy to answer questions here or on Twitter (@erdmann). [1] this video [2] link [3] link
“It's a £43k camera on a huge automated gantry system controlled by python software”
Seminar by the author on how it was done.
Seminar on how it was done here by the author link this video 97 rows × 87 cols (8 439) @Hasselblad H6D-400c MS images Size: 925 000 px × 775 000 px (717 GP) Res: 5 µm (5080 ppi) It's a £43k camera on a huge automated gantry system controlled by python software
“In this video [1] he mentions that each 100mp image is around 600MB”
Mentions each 100mp image is around 600MB.
In this video [1] he mentions that each 100mp image is around 600MB, which aligns with the size of the 4-shot multi-shot mode of the H6D-400C MS. 8439 photos 579MB would be around 4.7TB in raw format. [1] this video [2] link
