separate pipeline

benchmark/camera_count/analyze.py

@@ -103,7 +103,7 @@ def plot(by_k: dict[int, list[float]], na_by_k: dict[int, int],
     data_plot = [by_k[k] for k in ks]
 
     fig, ax = plt.subplots(figsize=(8, 5))
-    ax.boxplot(data_plot, labels=[str(k) for k in ks], patch_artist=True)
+    ax.boxplot(data_plot, tick_labels=[str(k) for k in ks], patch_artist=True)
     ax.set_xlabel("Anzahl Kameras")
     ax.set_ylabel(metric)
     ax.set_title("Anzahl Kameras vs. Pose-Schätzfehler")
@@ -126,8 +126,9 @@ def main() -> None:
     ap.add_argument("--metric",
                     choices=["finger_error_mm", "wrist_error_mm",
                              "mean_abs_deg", "max_abs_deg", "mean_abs_mm", "max_abs_mm"],
-                    default="finger_error_mm",
-                    help="Metrik für Tabelle und Plot (Standard: finger_error_mm)")
+                    default=None,
+                    help="Metrik für Tabelle und Plot. "
+                         "Standard: finger_error_mm + wrist_error_mm zusammen.")
     ap.add_argument("--out-plot", default=None,
                     help="Plot-Pfad (Standard: results/camera_count_<metric>.png)")
     args = ap.parse_args()
@@ -136,16 +137,22 @@ def main() -> None:
     if not data:
         return
 
-    by_k, na_by_k = group_by_k(data, args.metric)
-    if not by_k and not na_by_k:
-        print(f"[ERROR] Keine Werte für Metrik '{args.metric}' gefunden.")
-        return
+    # Ohne --metric: beide mm-Tabellen ausgeben, dann Plot für Finger
+    metrics = [args.metric] if args.metric else ["finger_error_mm", "wrist_error_mm"]
 
-    out_plot = args.out_plot or str(RESULTS_DIR / f"camera_count_{args.metric}.png")
+    for metric in metrics:
+        by_k, na_by_k = group_by_k(data, metric)
+        if not by_k and not na_by_k:
+            print(f"[WARN] Keine Werte für Metrik '{metric}' — übersprungen.")
+            continue
+        print_table(by_k, na_by_k, metric)
+        print_best_worst(data, metric)
 
-    print_table(by_k, na_by_k, args.metric)
-    print_best_worst(data, args.metric)
-    plot(by_k, na_by_k, args.metric, out_plot)
+    # Plot für alle angezeigten Metriken
+    for metric in metrics:
+        by_k, na_by_k = group_by_k(data, metric)
+        out_plot = args.out_plot or str(RESULTS_DIR / f"camera_count_{metric}.png")
+        plot(by_k, na_by_k, metric, out_plot)
 
 
 if __name__ == "__main__":