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scripts/__init__.py

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+"""
+scripts
+=======
+Roboter-Pose-Schätzung aus Mehrkamera-ArUco-Bildern.
+
+Zwei Interfaces, gleiche Logik darunter:
+
+  (A) Python-Bibliothek — direkt einbindbar:
+        from scripts import estimate_from_dir, PipelineResult
+        result = estimate_from_dir("path/to/images", robot_json="robot.json")
+        print(result.joints)          # {"x": 50.2, "y": -2.1, ...}
+        print(result.confidence)      # {"x": "high", "b": "low", ...}
+
+  (B) REST-API — läuft als Service im Docker-Container:
+        POST /v1/estimate   (multipart: images + intrinsics)
+        GET  /v1/health
+        GET  /v1/config
+        → JSON mit joints, confidence, residual_rms, processing_ms
+"""
+from .pipeline import estimate_from_dir, PipelineResult
+
+__version__ = "1.0.0"
+__all__ = ["estimate_from_dir", "PipelineResult", "__version__"]