~/talk

KEYNOTE – Robert Erdmann

Talkat PyCon US 2021 · 2021-05-14..05-15· [machine-learning]
links:none on file
slides:none on file

Captures Rembrandt’s Night Watch at 5 micrometer resolution producing 717 gigapixels from 8,439 100MP photos, ~23 seconds per shot. Builds an orbital frame with a Hasselblad H6D plus 15 laser range sensors and a sled for XYZ+pitch+yaw control. Uses Python stack: Jupyter/ipywidgets + asyncio/websockets, scikit‑learn for robust plane fits, PyTorch for focus nets, pyvips for out‑of‑core images, JAX for fast GPU interpolation, scipy/shapely/networkx/pyamg for registration and fusion, and Argyll/color‑science to achieve Delta E < 2.3. The pipeline works end‑to‑end.

AI-written summary · about

  1. 0:00Start
  2. 4:30Cad Rendering
  3. 5:17Rotational Degrees of Freedom
  4. 5:47Digital Camera
  5. 6:53Architecture of the System
  6. 7:07Control Subsystem
  7. 15:52Depth of Field
  8. 16:16Shape from Focus
  9. 17:21Monitor the Sharpness of the Painting
  10. 20:22Color Calibration
  11. 24:03Fiducial Marks
  12. 25:2720 Micron Resolution Photos
  13. 29:28Homography
  14. 31:05Jaxx
  15. 37:48Final Result
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