Files
open-wc/coordination/claims/M00-QAR-CAMERA-POSE-SWEEP-001.md
sindoring ba81098797 test(M00): close renderer baseline milestone
Work-Package: M00-QAR-INTEGRATOR-CLOSEOUT-001
Agent: sindo-main-codex
Tests: post-merge render baseline dry-run; comparator self-test; coordination and documentation gates
Fidelity: records seven build-12340 reference categories and measured gaps without claiming parity
2026-07-13 13:16:52 +04:00

3.4 KiB

M00-QAR-CAMERA-POSE-SWEEP-001 — Empirical camera pose sweep

Ownership

  • Target: M00
  • Program: QAR
  • Owner/Agent ID: sindo-main-codex
  • Branch: work/sindo-main-codex/m00-camera-pose-sweep
  • Lease expires UTC: 2026-07-14
  • Integrator: milestone integrator

Outcome

Recover reproducible checkpoint framing by sweeping bounded yaw/pitch offsets and ranking paired-image error.

Non-goals

  • Changing runtime player camera defaults.
  • Claiming an exact original-client camera pose from perceptual score alone.
  • Adding computer-vision registration or image warping.

Paths

  • Exclusive: camera-pose CLI and sweep orchestration
  • Shared/hotspots: renderer baseline documentation
  • Generated/ignored: local candidate PNGs and JSON reports

Contracts and data

  • Public API/events: additive camera yaw/pitch offset and single-pass capture options; new PowerShell sweep command
  • Schema/format version: capture report schema remains version 1 with additive camera-offset fields
  • Migration/compatibility: existing capture commands retain zero offsets and two passes
  • Consumers: M00 paired-fidelity workflow

Dependencies

  • Requires: build 12340 reference image, capture tool, paired-image comparator
  • Blocks: reproducible manual-reference framing
  • External state: original screenshots remain outside Git

Verification

  • Commands: capture dry-run offset regression, comparator self-test, bounded local sweep when a display/reference is available, repository gates
  • Fixtures: one named M00 checkpoint
  • Fidelity evidence: ranked yaw/pitch candidates with explicit human-approval requirement
  • Performance budget: offline diagnostic; single-pass mode avoids redundant warm capture

Documentation deliverables

  • Inline public API docs: capture and sweep usage
  • Module specification: camera-pose data flow, verification and source map
  • Data-flow diagram: updated pose-sweep flow
  • Sequence/state/dependency diagrams: unchanged
  • Source map/status updates: baseline workflow and findings

Simplicity and naming

  • Important names introduced: camera_yaw_offset_degrees, camera_pitch_offset_degrees, single_pass
  • Simplest considered solution: bounded grid over existing capture/comparator tools
  • Rejected complexity/abstractions: feature matching, optimizer framework, image transforms
  • Unavoidable complexity and justification: original-client camera angles are not exposed by tested APIs
  • Measured optimization evidence: single-pass mode halves captures per candidate

Status

  • State: ready-for-review
  • Done: additive capture offsets, single-pass calibration mode, bounded grid runner, ranked JSON contract, grid-plan regression and documentation
  • Next: run a coarse-to-fine real sweep with the private build 12340 reference directory, then obtain human framing approval
  • Blocked by:

Handoff

  • Commit: this work-package commit
  • Results: dry-run reported yaw 12.50/pitch -7.50; comparator self-test passed; a 3x2 plan produced six unique candidates; full seven-checkpoint M00 dry-run passed with default zero offsets
  • Remaining risks: no private reference directory was available in this worktree, so real perceptual ranking and human approval remain external evidence
  • Documentation updated: docs/CAMERA_POSE_SWEEP.md; renderer module verification, risk and source map