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