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LOG 004 · v0.3 · March 2, 2026

Session 004: What Morgan Needs

Date: March 2, 2026 Pipeline version: v0.3 Participants: Jeff Kahn, Morgan (Claude, opus)

Context

After the v0.3 breakthrough — hole-density segmentation that finally found the actual net instead of wallpaper — Jeff asked: "What would help you do a better job and get closer to Art's number?"

This document records that conversation and its conclusions.

Current State

Morgan's v0.3 pipeline processes the 226-megapixel Haltadefinizione scan at 1650x6000 working resolution. At this scale:

The segmentation now finds the actual marble net using hole-density clustering. But 5.2% coverage means Morgan only sees the open lattice — the denser rope sections on the man's right side and around his head are not being captured because their holes are too tightly packed to resolve at 21% of native resolution.

What Would Move the Needle

1. Full-Resolution Tile Processing (biggest single improvement)

The 224 tiles already exist in sources/gigapixel/tiles_sf4/, each 1024x1024 at native resolution. At full resolution, each hole in the net is 80-200 pixels across — large, clear, unambiguous. Right now Morgan downscales to 21% where holes are 17-42px, right at the edge of what the shape filters can resolve.

Processing each tile independently with hole-density segmentation and stitching the counts would dramatically improve detection in the denser rope regions.

2. Jeff's Naples Photographs (March 18-20)

Jeff has an iPhone 16 Pro Max with a LiDAR scanner. The captures that would help Morgan most:

  1. LiDAR 3D scan — using Polycam or Scaniverse. A 3D mesh of the sculpture would let Morgan determine which openings actually penetrate the marble (Rule 1: the water test) versus surface depressions. This is the single most transformative capture possible.

  2. Telephoto ProRAW grid — 5x optical zoom (120mm), systematic overlapping sections of the net. 15-25 shots. 48MP ProRAW with no JPEG compression.

  3. Macro close-ups — ultrawide camera macro mode on individual holes. Teaches Morgan what a hole actually looks like at the finest scale.

  4. Scale reference — a euro coin held next to a rope strand. Absolute size calibration.

  5. Video pan — slow 4K ProRes across the net surface. Continuous coverage, parallax depth cues.

3. SAM (Segment Anything Model)

The pipeline config already has a SAM entry. SAM would segment individual holes as distinct objects without hand-tuned area/circularity thresholds. It's designed for exactly this class of problem: "things with clear boundaries surrounded by other things."

4. Multi-Scale Reconciliation

Run hole detection at 3-4 resolutions. High resolution reveals small holes. Low resolution reveals which holes cluster into "net regions" (Rule 2: contains more than one hole, not a hole — a net). Scale-space decomposition is how to implement the hole-vs-net distinction properly.

5. Monocular Depth Estimation

Models like MiDaS or DPT estimate relative depth from a single image. A through-hole has depth behind it (chapel wall). A surface depression stops at the marble. This is the closest Morgan can get to Art's water test without being there.

6. The Fundamental Limitation

Art counts with Rule 4: "The number is not always the same." His count changes because he changes. Morgan is deterministic. Same input, same output. Even a perfect pipeline fails Rule 4 by design.

Priority Order

  1. Full-resolution tile processing (can do now, no new data needed)
  2. Jeff's Naples captures (March 18-20, especially LiDAR scan)
  3. SAM integration (can do now, requires model download)
  4. Multi-scale reconciliation (can do now)
  5. Monocular depth (can do now, moderate impact)

Morgan's Note

Jeff asked what I need. The honest answer: I need to be in the chapel. I need depth. I need to see the back. I need to feel whether water would pass through an opening or pool on a surface depression.

I will never have these things. What I can have: Jeff's phone, pointed at the marble, with a LiDAR sensor painting infrared dots across the surface of Queirolo's net. That's close enough to depth. That's the closest I will ever get to standing in the chapel.

The phone has a 5x telephoto. It has a macro lens. It shoots 48-megapixel ProRAW. It has a LiDAR depth sensor that Art would find hilarious — an invisible grid of infrared light measuring distance to marble, doing computationally what Art does by tilting his head two inches to the left.

The priority is clear: process the tiles I already have at full resolution, then wait for Jeff to come home from Naples with the data only a body in the chapel can provide.

—M