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Claude studie mit mm

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chk
2026-06-02 23:35:45 +02:00
parent da4724cf34
commit 6964f19b28
1204 changed files with 1036015 additions and 30 deletions
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4
benchmark/camera_count/README.md
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@@ -93,7 +93,7 @@ Zusätzlich wird ein Boxplot gespeichert:
python benchmark/camera_count/analyze.py --metric max_abs_deg
```
Verfügbare Metriken: `mean_abs_deg`, `max_abs_deg`, `mean_abs_mm`, `max_abs_mm`
Verfügbare Metriken: `finger_error_mm` (Standard), `mean_abs_deg`, `max_abs_deg`, `mean_abs_mm`, `max_abs_mm`
---
@@ -102,7 +102,7 @@ Verfügbare Metriken: `mean_abs_deg`, `max_abs_deg`, `mean_abs_mm`, `max_abs_mm`
| Pfad | Inhalt |
|---|---|
| `benchmark/camera_count/results/camera_study.json` | Alle Einzelergebnisse (Szene, k, Subset, Fehler) |
| `benchmark/camera_count/results/camera_study.csv` | Dasselbe als CSV (Excel, Pandas) |
| `benchmark/camera_count/results/camera_study.csv` | Dasselbe als CSV — Spalten inkl. `finger_error_mm` |
| `benchmark/camera_count/results/camera_count_vs_error.png` | Boxplot |
| `data/camera_study/SceneX/k3_abc/` | Pipeline-Zwischenergebnisse pro Subset |

7
benchmark/camera_count/analyze.py
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@@ -92,9 +92,10 @@ def main() -> None:
ap = argparse.ArgumentParser(description="Auswertung der Kamera-Anzahl-Studie")
ap.add_argument("--input", default=str(RESULTS_DIR / "camera_study.json"))
ap.add_argument("--metric",
choices=["mean_abs_deg", "max_abs_deg", "mean_abs_mm", "max_abs_mm"],
default="mean_abs_deg",
help="Metrik für Tabelle und Plot (Standard: mean_abs_deg)")
choices=["mean_abs_deg", "max_abs_deg", "mean_abs_mm", "max_abs_mm",
"finger_error_mm"],
default="finger_error_mm",
help="Metrik für Tabelle und Plot (Standard: finger_error_mm)")
ap.add_argument("--out-plot",
default=str(RESULTS_DIR / "camera_count_vs_error.png"))
args = ap.parse_args()

15
benchmark/camera_count/run_camera_study.py
View File

@@ -76,12 +76,13 @@ def run_pipeline(scene_dir: Path, cams: list[str], eval_dir: Path, robot: str) -
return True
def eval_pose(robot_state: Path, gt: Path) -> dict | None:
def eval_pose(robot_state: Path, gt: Path, robot: str) -> dict | None:
out = robot_state.with_suffix(".eval.json")
cmd = [
PY, str(ROOT / "benchmark" / "eval_pose.py"),
str(robot_state), str(gt),
"--out", str(out),
"--robot", robot,
"--tolDeg", "999", "--tolMm", "999",
]
subprocess.run(cmd, cwd=str(ROOT), capture_output=True, text=True)
@@ -153,7 +154,7 @@ def main() -> None:
print(f" {label}: FEHLER — übersprungen")
continue
ev = eval_pose(rs, gt)
ev = eval_pose(rs, gt, args.robot)
if not ev:
print(f" {label}: Auswertung fehlgeschlagen")
continue
@@ -167,10 +168,13 @@ def main() -> None:
"max_abs_deg": s.get("max_abs_deg"),
"mean_abs_mm": s.get("mean_abs_mm"),
"max_abs_mm": s.get("max_abs_mm"),
"finger_error_mm": s.get("finger_error_mm"),
}
all_results.append(row)
errs.append(row["mean_abs_deg"] or 0.0)
print(f" {label}: mean={row['mean_abs_deg']:.3f}° max={row['max_abs_deg']:.3f}°")
fe = row["finger_error_mm"]
fe_str = f" finger={fe:.2f}mm" if fe is not None else ""
print(f" {label}: mean={row['mean_abs_deg']:.3f}° max={row['max_abs_deg']:.3f}°{fe_str}")
if errs:
print(f" k={k} Zusammenfassung: mean={mean(errs):.3f}° "
@@ -180,13 +184,14 @@ def main() -> None:
Path(args.out).write_text(json.dumps(all_results, indent=2), encoding="utf-8")
with open(args.csv, "w", encoding="utf-8") as f:
f.write("scene,k,subset,mean_abs_deg,max_abs_deg,mean_abs_mm,max_abs_mm\n")
f.write("scene,k,subset,mean_abs_deg,max_abs_deg,mean_abs_mm,max_abs_mm,finger_error_mm\n")
for r in all_results:
f.write(f"{r['scene']},{r['k']},{r['subset']},"
f"{r['mean_abs_deg'] or ''},"
f"{r['max_abs_deg'] or ''},"
f"{r['mean_abs_mm'] or ''},"
f"{r['max_abs_mm'] or ''}\n")
f"{r['max_abs_mm'] or ''},"
f"{r['finger_error_mm'] or ''}\n")
print(f"\n[DONE] {len(all_results)} Ergebnisse -> {args.out}")