27 minimal inference #88
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kvantricht
reviewed
Apr 12, 2024
| cube = cube.ndvi(nir='S2-L2A-B08', red='S2-L2A-B04', target_band='S2-L2A-NDVI') | ||
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| # Perform model inference | ||
| cube = apply_model_inference( |
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So this skips the FeatureExtractor and directly feeds the time series to the model?
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It's just a unit-test focusing on the Model Inference, not a full pipeline
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Still under construction, as the unit-tests are not passing and I am waiting for an answer of the OpenEO team.
Also before confirming this strategy we should discuss with the GFMAP team to see if that matches our long term vision of the framework, as well as check if it is compatible with the world-cereal inference MVP