robokudo.descriptors.analysis_engines.demo_from_storage¶
Classes¶
Analysis engine for demonstrating tabletop segmentation from stored data. |
Module Contents¶
- class robokudo.descriptors.analysis_engines.demo_from_storage.AnalysisEngine¶
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Bases:
robokudo.analysis_engine.AnalysisEngineInterfaceAnalysis engine for demonstrating tabletop segmentation from stored data.
This class implements a basic pipeline for tabletop segmentation using stored camera data. It reads data from MongoDB storage and processes it through a sequence of annotators to detect and segment objects on a table surface.
- name() str¶
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Get the name of the analysis engine.
- Returns:
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The name identifier of this analysis engine
- implementation() robokudo.pipeline.Pipeline¶
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Create a basic pipeline for tabletop segmentation.
This method constructs the processing pipeline by configuring and connecting the necessary annotators in sequence.
- Returns:
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The configured pipeline for tabletop segmentation